List of Authors

Abbasi-Sureshjani, Samaneh

• Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology

Abdulaal, Ahmed

• A coupled-mechanisms modelling framework for neurodegeneration

Abolmaesumi, Purang

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Abouyared, Marianne

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Abrigo, Jill

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Adams, Jadie

• Fully Bayesian VIB-DeepSSM
• Can point cloud networks learn statistical shape models of anatomies?

Adeleke, Olusola

• Geometry-invariant abnormality detection

Adeli, Ehsan

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation
• LSOR: Longitudinally-Consistent Self-Organized Representation Learning
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

Adiga Vasudeva, Sukesh

• Trust your neighbours: Penalty-based constraints for model calibration

Adler, Sophie

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Adler, Tim J.

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Self-distillation for surgical action recognition

Agzamkhodjaev, Saydolimkhon

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Ahmad, Sahar

• SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI
• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
• Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments

Ahmadi Amiri, S. Neda

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Ahn, Euijoon

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Ahn, Sun Ho

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Ahuja, Chirag Kamal

• Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint

Aizenberg, Natalie

• Self-Supervised Polyp Re-Identification in Colonoscopy

Ajlouni, Serine

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Akram, Harith

• A Transfer Learning Approach to Localise a Deep Brain Stimulation Target

Al-Kindi, Sadeer

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Alabed, Samer

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Alam, Hasan Md Tusfiqur

• EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation

Alapatt, Deepak

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Albizu, Alejandro

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Alefsen, Malo

• M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

Alexander, Daniel C.

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
• A coupled-mechanisms modelling framework for neurodegeneration

Ali, Sharib

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Alkhunaizi, Naif

• FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

Almakky, Ibrahim

• FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

Almalik, Faris

• FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

Almeida, Silvia D.

• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Althonayan, Juri

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Altmann, Andre

• Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities

Alvarez-Jimenez, Charlems

• A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types

Alzheimer’s Disease Neuroimaging Initiative

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Amit, Tomer

• Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Amrami, Kimberly K.

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Amyar, Amine

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

An, Hong

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Anders, Philipp

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Anderson, Stephan W.

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Andratschke, Nicolaus

• Do we really need that skip-connection? Understanding its interplay with task complexity

Antic, Sanja

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Antil, Neha

• Differentiable Beamforming for Ultrasound Autofocusing

Anwer, Rao Muhammad

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
• A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos
• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Anxionnat, René

• Aneurysm Pose Estimation with Deep Learning

Arabyarmohammadi, Sara

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer

Araujo, Alexandre

• Certification of Deep Learning Models for Medical Image Segmentation

Araújo, Teresa

• Transformer-based end-to-end classification of variable-length volumetric data

Arbel, Tal

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Arcucci, Rossella

• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Aresta, Guilherme

• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

Ariel, Barak

• Estimated time to surgical procedure completion: An exploration of video analysis methods

Armand, Mehran

• Skin Lesion Correspondence Localization in Total Body Photography
• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Arnold, Corey W.

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Arnold, Douglas L.

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Arnold, Steve

• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Arora, Chetan

• Learnable Query Initialization for Surgical Instrument Instance Segmentation
• How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging?
• Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Asad, Muhammad

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Asad, Zuhayr

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Asadi, Maryam

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Ashikaga, Hiroshi

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Asselmann, Dotan

• Estimated time to surgical procedure completion: An exploration of video analysis methods

Assis, Youssef

• Aneurysm Pose Estimation with Deep Learning

Atalay, Michael K.

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Ather, Sarim

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Atsma, Douwe

• Joint optimization of a β-VAE for ECG task-specific feature extraction

Au, Kwok-Hung

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Aubreville, Marc

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Aucott, John

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Audigier, Chloé

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Avena Zampieri, Carla

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Avery, Jodie

• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Aviles Verdera, Jordina

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Aviles-Rivero, Angelica I.

• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
• CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?

Axel, Leon

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Ayala, Leonardo

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Azad, Babak

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Azad, Reza

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Azadi, Puria

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Azampour, Mohammad Farid

• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
• LOTUS: Learning to Optimize Task-based US representations
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Ba, Ruicheng

• AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation

Bacchi, Stephen

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Bach Cuadra, Meritxell

• Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction
• Robust estimation of the microstructure of the early developing brain using deep learning

Bachmaier, Magdalena

• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images

Baek, Seung Jun

• Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning
• 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions

Baek, Woonhyuk

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Bagci, Ulas

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Bagher-Ebadian, Hassan

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Bai, Chen

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Bai, Fan

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Bai, Harrison

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Bai, Long

• Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
• CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Bai, RuiBin

• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

Bai, Wenjia

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Bai, Xiaoyu

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Bai, Yunpeng

• Chest X-ray Image Classification: A Causal Perspective

Baker, George H.

• On the Relevance of Temporal Features for Medical Ultrasound Video Recognition

Balachandran, Abishek

• Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision

Baltatzis, Vasileios

• Multimodal brain age estimation using interpretable adaptive population-graph learning

Bammer, Roland

• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation

Banerjee, Abhirup

• Multi-objective point cloud autoencoders for explainable myocardial infarction prediction

Banks, Matthew I.

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

Bannadabhavi, Anushree

• Community-Aware Transformer for Autism Prediction in fMRI Connectome

Bano, Sophia

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Bao, Shunxing

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation

Bar, Omri

• Estimated time to surgical procedure completion: An exploration of video analysis methods

Barbed, O. León

• Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy
• CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy

Barkat, Lilach

• PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Barkhof, Frederik

• A coupled-mechanisms modelling framework for neurodegeneration

Bartholmai, Brian J.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Basak, Hritam

• Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning

Basaran, Berke

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Bashashati, Ali

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Bastian, Lennart

• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation
• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Basu, Soumen

• How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging?
• Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Batlle, Víctor M.

• LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

Batmanghelich, Kayhan

• Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography
• Distilling BlackBox to Interpretable models for Efficient Transfer Learning

Batten, James

• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

Baugh, Matthew

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

Baumann, Alexander

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Baumgartner, Christian F.

• Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Baumgartner, Michael

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Bayasi, Nourhan

• MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets

Bayfield, Katie J.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Beard, Paul

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Beaudet, Karl-Philippe

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images

Bec, Julien

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Becker, Daniela

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Beer, Meinrad

• Interpretable Medical Image Classification using Prototype Learning and Privileged Information

Beets-Tan, Regina

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning

Beetz, Marcel

• Multi-objective point cloud autoencoders for explainable myocardial infarction prediction

Behrendt, Finn

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

Bekkers, Erik J.

• Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis

Beldjoudi, Guillaume

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior

Bellitto, Giovanni

• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Belyaev, Mikhail

• vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

Ben Ayed, Ismail

• Trust your neighbours: Penalty-based constraints for model calibration

Bendersky, Mariana

• Learning normal asymmetry representations for homologous brain structures

Bera, Sutanu

• Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising
• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

Bercea, Cosmin I.

• What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection
• Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Bergeles, Christos

• Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

Bergholt, Mads S.

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Bernard, Olivier

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Bertels, Jeroen

• Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Bewley, Arnaud

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Bharadwaj, Satvika

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Bhunia, Ankan Kumar

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

Bi, Lei

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Bi, Ning

• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration

Bi, Yuan

• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

Bian, Yueyan

• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Bian, Zhaoying

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Bieder, Florentin

• Point Cloud Diffusion Models for Automatic Implant Generation

Biederer, Jürgen

• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Bigalke, Alexander

• Unsupervised 3D registration through optimization-guided cyclical self-training
• A denoised Mean Teacher for domain adaptive point cloud registration

Bilgic, Berkin

• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction

Billot, Benjamin

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Bintsi, Kyriaki-Margarita

• Multimodal brain age estimation using interpretable adaptive population-graph learning

Bird, Alix

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Birkeland, Andrew

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Bise, Ryoma

• Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping

Biswas, Prabir Kumar

• Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising
• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

Bitarafan, Adeleh

• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation

Bittman, Mark

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Black, Michael J.

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Black, Peter

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Blaschko, Matthew B.

• Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
• Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

Blinder, Pablo

• Reconstructing the Hemodynamic Response Function via a Bimodal Transformer

Bloch, Isabelle

• Weakly-supervised positional contrastive learning: application to cirrhosis classification

Bocchetta, Martina

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Bocchi, Leonardo

• AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes

Bogunović, Hrvoje

• Transformer-based end-to-end classification of variable-length volumetric data
• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Bohn, Jonas

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Bolelli, Federico

• DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs

Bolsterlee, Bart

• Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images

Bonekamp, David

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Bongratz, Fabian

• Vertex Correspondence in Cortical Surface Reconstruction

Bontempo, Gianpaolo

• DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs

Borg, Anouk

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Borg, Steven

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Borgavi, Kaustubh

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

Bosschieter, Tomas

• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

Bouix, Sylvain

• Inverse Consistency by Construction for Multistep Deep Registration

Bounias, Dimitrios

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Bourantas, Christos

• Joint Dense-Point Representation for Contour-Aware Graph Segmentation

Boxberg, Melanie

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Boyd, Joseph

• Structured State Space Models for Multiple Instance Learning in Digital Pathology

Bozorgtabar, Behzad

• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification
• AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

Bône, Alexandre

• Weakly-supervised positional contrastive learning: application to cirrhosis classification

Brandt, Johannes

• Anatomy-Driven Pathology Detection on Chest X-rays

Bransby, Kit Mills

• Joint Dense-Point Representation for Contour-Aware Graph Segmentation

Braren, Rickmer

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Brawura-Biskupski-Samaha, Robert

• TabAttention: Learning Attention Conditionally on Tabular Data

Breininger, Katharina

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Bridge, Christopher

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Brink, Kevin

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Browning, James

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Bu, Qirong

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Budd, Charlie

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Bungert, Till J.

• Understanding Silent Failures in Medical Image Classification

Burlina, Philippe

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Busam, Benjamin

• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation
• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Busch, Andrew

• A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images

Byeon, Keunho

• Centroid-aware feature recalibration for cancer grading in pathology images

Byra, Michal

• Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

Bürgin, Vincent

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
• Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks

Cafaro, Alexandre

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Cahill, Ronan

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Cai, Heng

• 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks

Cai, Hongmin

• Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network

Cai, Jianfei

• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation
• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Cai, Jiangdong

• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images

Cai, Jiatong

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Cai, Jing

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Cai, Leon Y.

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Cai, Tian

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Cai, Tongan

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Cai, Weidong

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation
• Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

Cai, Xiujun

• TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification

Cai, Zhuotong

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Calderara, Simone

• DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs

Camacho, Paul

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Cao, Boxuan

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Cao, Hanqun

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Cao, Jiale

• A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Cao, Jiannong

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Cao, Leilei

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Cao, Maosong

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images
• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification

Cao, Peng

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis
• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Cao, Qing

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Cao, Weiguo

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Cao, Yinzhi

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Cao, Zhi

• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Caplan, Jeffrey

• Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network

Cardoso, M. Jorge

• Unsupervised 3D out-of-distribution detection with latent diffusion models
• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
• Geometry-invariant abnormality detection

Carneiro, Gustavo

• Multi-Head Multi-Loss Model Calibration
• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Caron, Mathilde

• Self-Supervised Learning for Endoscopic Video Analysis

Carrión, Héctor

• FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification

Castañeda, Eduardo

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Castro-Macías, Francisco M.

• Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

Cattin, Philippe C.

• Point Cloud Diffusion Models for Automatic Implant Generation

Caulfield, Richard

• Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions

Cavalcanti, Thiago Coutinho

• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Chakrabarty, Satrajit

• QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality

Challoob, Mohsin

• A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images

Chamberlain, Ryan

• Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

Champagnac, Anne

• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Chan, Danny T. M.

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Chan, Nga Yan

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Chan, Shing-Chow

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Chandra, Shekhar S.

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Chang, Yunbing

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Chao, Hanqing

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Chapman, James

• Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities

Chappell, Michael A.

• Unified surface and volumetric inference on functional imaging data

Charalampaki, Patra

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Chartsias, Agisilaos

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Chassagnon, Guillaume

• Certification of Deep Learning Models for Medical Image Segmentation

Che, Haoxuan

• Unsupervised Domain Adaptation for Anatomical Landmark Detection
• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

Chen, Bingzhi

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Chen, Boqi

• MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities

Chen, Boyan

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Chen, Brian Y.

• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

Chen, Chen

• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Chen, Cheng

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning

Chen, Danny Z.

• SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings

Chen, Dengbo

• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

Chen, Ding-Jie

• Contrastive Feature Decoupling for Weakly-supervised Disease Detection

Chen, Dongdong

• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis

Chen, Eric Z.

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Chen, Fang

• Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness
• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Chen, Faquan

• Decoupled Consistency for Semi-supervised Medical Image Segmentation

Chen, Fuyao

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Chen, Geng

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Chen, Guangyong

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Chen, Hao

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration
• Unsupervised Domain Adaptation for Anatomical Landmark Detection
• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
• Scale Federated Learning for Label Set Mismatch in Medical Image Classification
• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification
• Few Shot Medical Image Segmentation with Cross Attention Transformer
• DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Chen, Haoyu

• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions

Chen, Huimiao

• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Chen, Jianhua

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Chen, Jianhui

• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Chen, Jianqi

• ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Chen, Jiazhou

• Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network

Chen, Jiongquan

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Chen, Junying

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Chen, Kaixin

• Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

Chen, Kang

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Chen, Keke

• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Chen, Lei

• Automatic Bleeding Risk Rating System of Gastric Varices

Chen, Li

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss
• 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer

Chen, Long

• Label-Free Nuclei Segmentation Using Intra-Image Self Similarity

Chen, Ming

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Chen, Minghan

• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold

Chen, Minghui

• FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

Chen, Pin-Yu

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Chen, Pingyi

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Chen, Pu

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Chen, Qi

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information

Chen, Qiang

• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Chen, Qichang

• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair

Chen, Ruidi

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Chen, Ruiye

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning

Chen, Shengcong

• DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Chen, Shengxian

• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis

Chen, Shixuan

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Chen, Shouyu

• GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis

Chen, Tao

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization
• Debiasing Medical Visual Question Answering via Counterfactual Training
• BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

Chen, Terrence

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Chen, Tong

• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

Chen, Wei

• Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification

Chen, Wen

• Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs

Chen, Xi

• DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Chen, Xiangmei

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Chen, Xiao

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Chen, Xiaofei

• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training

Chen, Xiaojun

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss
• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery
• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network
• A Semantic-guided and Knowledge-based Generative Framework for Orthodontic Visual Outcome Preview

Chen, Xiaoyang

• SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI

Chen, Xin

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Chen, Xiongchao

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Chen, Xuan

• Co-assistant Networks for Label Correction

Chen, Xuejin

• Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation

Chen, Xueli

• Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging

Chen, Yan

• Diffusion-based Data Augmentation for Nuclei Image Segmentation

Chen, Yaqi

• Decoupled Consistency for Semi-supervised Medical Image Segmentation

Chen, Yen-Wei

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Chen, Yidi

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation

Chen, Yifeng

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Chen, Yiliang

• Surgical Activity Triplet Recognition via Triplet Disentanglement

Chen, Yinran

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation
• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Chen, Yixiong

• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Chen, Yizhou

• A Semantic-guided and Knowledge-based Generative Framework for Orthodontic Visual Outcome Preview

Chen, Yu-Jen

• Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
• Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor

Chen, Yu-Pin

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Chen, Yueyao

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Chen, Yufan

• Few Shot Medical Image Segmentation with Cross Attention Transformer

Chen, Yufei

• Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images

Chen, Yunmei

• Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction
• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction

Chen, Yuqian

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Chen, Zailiang

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Chen, Zefeiyun

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Chen, Zhanghao

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Chen, Zhen

• Surgical Video Captioning with Mutual-Modal Concept Alignment
• Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Chen, Zhi

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Chen, Zhihao

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
• ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

Chen, Zhu

• Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos

Chen, Ziran

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Chen, Zirui

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Chen, Ziyang

• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
• Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation

Cheng, Chingyu

• Category-independent Visual Explanation for Medical Deep Network Understanding

Cheng, Erkang

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

Cheng, Hao

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Cheng, Jiale

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development

Cheng, Jian

• Revisiting Feature Propagation and Aggregation in Polyp Segmentation

Cheng, Jun

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning
• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Cheng, Junlong

• SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks

Cheng, Kwang-Ting

• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
• Few Shot Medical Image Segmentation with Cross Attention Transformer
• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

Cheng, Lionel Tim-Ee

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Cheng, Shuai

• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis

Cheng, Sibo

• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Cheng, Xuelian

• EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

Cheng, Yanxiang

• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation

Cheng, Yuhan

• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

Cheriet, Farida

• From Mesh Completion to AI Designed Crown

Chetty, Indrin J.

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Cheung, Andy Lai-Yin

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Chi, Haozhe

• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Chi, Jianning

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Chi, Yichen

• Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI

Chikontwe, Philip

• PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation
• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation

Chin, Bennett

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Chiu, Bernard

• Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging

Chiu, Ching-Hao

• Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis

Chiu, Philip Wai-Yan

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Cho Kim, Woo-Jin

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Cho, Hyuna

• Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis
• Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation

Cho, Jaejin

• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction

Cho, Jungchan

• Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image

Cho, Kyungjin

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network

Chobola, Tomáš

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network

Choi, Changyong

• CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Choi, Jang-Hwan

• Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model

Choi, Sang Tae

• Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image

Choi, Sang-Il

• Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image

Choi, Taegeun

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform

Cholakkal, Hisham

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

Chong, Joanna Su Xian

• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Chong, Winston

• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Choukroun, Yoni

• Reconstructing the Hemodynamic Response Function via a Bimodal Transformer

Chow, Brian V. Y.

• Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images

Chowdary, G. Jignesh

• Diffusion Transformer U-Net for Medical Image Segmentation

Christodoulidis, Stergios

• Structured State Space Models for Multiple Instance Learning in Digital Pathology

Christodoulou, Evangelia

• Deployment of Image Analysis Algorithms under Prevalence Shifts

Chu, Tim

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Chu, Yuetan

• Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model

Chuma, Shinichiro

• Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping

Chung, Christine H.

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Chung, Hao-Wei

• Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis

Chung, Moo K.

• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis

Clarenbach, Ricarda

• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

Clement, Hans

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Cohen, Israel

• PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Cohen, Joseph Paul

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Cohen, Regev

• Self-Supervised Learning for Endoscopic Video Analysis

Colbeci, Yariv

• Estimated time to surgical procedure completion: An exploration of video analysis methods

Colchester, Richard

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Comaniciu, Dorin

• Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision
• ConTrack: Contextual Transformer for Device Tracking in X-ray

Connolly, Laura

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Cook, Gary

• Geometry-invariant abnormality detection

Cornelissen, Sandra

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Corredor, German

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer

Cotin, Stéphane

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
• Intraoperative CT augmentation for needle-based liver interventions

Couillard-Despres, Sebastien

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Cournède, Paul-Henry

• Structured State Space Models for Multiple Instance Learning in Digital Pathology

Craig, Martin S.

• Unified surface and volumetric inference on functional imaging data

Crozier, Stuart

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Cui, Beilei

• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

Cui, Can

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Cui, Dingnan

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Cui, Hengfei

• Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation

Cui, Hui

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Cui, Jiaqi

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms

Cui, Lei

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Cui, Shuguang

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Cui, Wenju

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Cui, Zhiming

• Multi-View Vertebra Localization and Identification from CT Images
• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis
• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Cui, Zijun

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Cukur, Tolga

• Self-Supervised MRI Reconstruction with Unrolled Diffusion Models

Czempiel, Tobias

• LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms

D'Angelo, Anna

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism

D'hooge, Jan

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

D. Vera, Daniela

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Daher, Rema

• CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy

Dahl, Jeremy J.

• Differentiable Beamforming for Ultrasound Autofocusing

Dai, Linrui

• Efficient Subclass Segmentation in Medical Images

Dai, Ning

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Dai, Qian

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Dai, Siyuan

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Dai, Weicheng

• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Dai, Weihang

• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Dai, Xinru

• PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer

Dai, Yuting

• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Dalca, Adrian

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Dalieh, Istabraq

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Dan, Tingting

• Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases
• TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation
• Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation
• A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images

Dang, Kang

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Daniol, Mateusz

• High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers

Dannecker, Maik

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

Das, Adrito

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Das, Sudeshna

• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Dascalu, Tudor

• Assignment Theory-Augmented Neural Network for Dental Arch Labeling

Dausmann, Veit

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network

Davies, Joel C.

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Dawant, Benoit M.

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
• Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning
• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Day, Thomas

• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

De Benetti, Francesca

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Deangeli, Duilio

• Learning normal asymmetry representations for homologous brain structures

Dehghani, Shervin

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)
• From Tissue to Sound: Model-based Sonification of Medical Imaging

Deike-Hofmann, Katerina

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Delrieux, Claudio

• VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis

Demoustier, Marc

• ConTrack: Contextual Transformer for Device Tracking in X-ray

Denehy, Linda

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Deng, Hannah H.

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Deng, Jie

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Deng, Ke

• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Deng, Ruining

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Deng, Wenlong

• Community-Aware Transformer for Autism Prediction in fMRI Connectome

Deng, Xianbo

• ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Deng, Xin

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Deng, Xuedong

• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Deng, Yongqiang

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Deng, Yu

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Deng, Zhifang

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Deng, Zhipeng

• Scale Federated Learning for Label Set Mismatch in Medical Image Classification

Deng, Zhiwei

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention

Denisova, Elena

• AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes

Denzinger, Felix

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation
• Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Deprest, Jan

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Deprez, Maria

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Derakhshani, Mohammad Mahdi

• Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Dere, Mustafa

• A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images

Derkacz-Bogner, Daniel

• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation

Desjardins, Adrien

• Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions
• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Deutsch, Eric

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Dey, Neel

• Boundary-weighted logit consistency improves calibration of segmentation networks

Dhamdhere, Rohan

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Dhanakshirur, Rohan Raju

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

Dharmakumar, Rohan

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Dhurandhar, Amit

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Di Veroli, Beniamin

• Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies

DiMaio, Simon

• SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

Diab, Khassan

• Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation

Diao, Songhui

• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Dicente Cid, Yashin

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Dima, Alina F.

• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Ding, Changxing

• DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Ding, Chi

• Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction

Ding, Chris

• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Ding, Dayong

• Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition

Ding, Hu

• Solving Low-Dose CT Reconstruction via GAN with Local Coherence

Ding, Jiaqi

• A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images

Ding, Kefeng

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Ding, Kexin

• Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction

Ding, Ming

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage

Ding, Saisai

• Multi-Scale Prototypical Transformer for Whole Slide Image Classification

Ding, Xiaowei

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Ding, Xinpeng

• SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

Ding, Ying

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Ditt, Hendrik

• Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps

Dojat, Michel

• Towards frugal unsupervised detection of subtle abnormalities in medical imaging

Dolz, Jose

• Trust your neighbours: Penalty-based constraints for model calibration
• Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation

Dombrowski, Mischa

• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks
• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Domingo, Enric

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Dong, Bin

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Dong, Changfeng

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Dong, Hexin

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Dong, Linzheng

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Dong, Pei

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Dong, Wenhui

• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Dong, Yu

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Dong, Zijian

• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Dorent, Reuben

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Dorward, Neil L.

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Dou, Haoran

• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
• A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy

Dou, Qi

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure
• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
• FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images
• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Döllinger, Michael

• Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy

Dratsch, Thomas

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Dreher, Kris K.

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Drenkow, Nathan

• Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

Dreyer, Maximilian

• Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

Du, Bo

• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Du, Changde

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

Du, Lei

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Du, Siyi

• MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets

Du, Xiuquan

• Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation

Du, Yinda

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Du, Yu

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Du, Yuhao

• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Duan, Fan

• 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer

Duan, Jinming

• ACT-Net: Anchor-context Action Detection in Surgery Videos

Duan, Xiaoyu

• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis

Duan, Xin-Cen

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Duan, Yuping

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Duh, Henry B. L.

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Duncan, James S.

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation
• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Durrleman, Stanley

• A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics

Durso-Finley, Joshua

• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Dörfler, Arnd

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Eck, Ulrich

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)

Eckart, Benjamin

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Effland, Alexander

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Eilertsen, Gabriel

• Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance

Eith, Carolin

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

El Barbari, Jan Siad

• Shape-based pose estimation for automatic standard views of the knee

El Fakhri, Georges

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

El hadramy, Sidaty

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
• Intraoperative CT augmentation for needle-based liver interventions

El-Zehiry, Noha

• From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation

Elazab, Ahmed

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Elhabian, Shireen Y.

• Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
• Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
• Fully Bayesian VIB-DeepSSM
• Can point cloud networks learn statistical shape models of anatomies?

Elson, Daniel S.

• Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

Emre, Taha

• Transformer-based end-to-end classification of variable-length volumetric data

Engel, Jay

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Engstrom, Craig

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Er, Sezgin

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Ermis, Ekin

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

Escalon, Joanna G.

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Ewert, Peter

• WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures

Ezhov, Ivan

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Fabian, Moritz S.

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Faghihroohi, Shahrooz

• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Fainstein, Miguel

• VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis

Falet, Jean-Pierre

• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Fan, Deng-Ping

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Fan, Wenkang

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Fan, Xinqi

• Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging

Fan, Yubo

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis
• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
• Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning
• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Fan, Ziqing

• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Fang, Rong

• Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases

Fang, Ruiyan

• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis

Fang, Ruogu

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Fang, Tao

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Fang, Xi

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Fang, Yanshu

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Fang, Yu

• Multi-View Vertebra Localization and Identification from CT Images
• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Fang, Yuqi

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Fang, Yuxin

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Fang, Zhaojie

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Farahani, Hossein

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Farhangi, Mohammad Mehdi

• Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

Farris, Chad W.

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Farshad, Azade

• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation

Farwell, Gregory

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Fawaz, Abdulah

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Fayad, Fayez H.

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Fei, Jingjing

• Decoupled Consistency for Semi-supervised Medical Image Segmentation

Fei, Manman

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images

Felder, Federico

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

Feldman, Paula

• VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis

Fels, Sidney

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Feng, Dagan

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Feng, Jun

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Feng, Wei

• Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

Feng, Yang

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Feng, Yangqin

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory

Feng, Yingjie

• Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification

Feng, Yuying

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Feng, Zhenghao

• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

Feng, Zhijie

• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection

Ferrante, Enzo

• Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation

Ferrer, Luciana

• Deployment of Image Analysis Algorithms under Prevalence Shifts

Ficarra, Elisa

• DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs

Fichtinger, Gabor

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Fillioux, Leo

• Structured State Space Models for Multiple Instance Learning in Digital Pathology

Finlay, Malcolm

• Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions
• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Fischer, Martin

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

Fiterau, Madalina

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Fix, Michael K.

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

Fletcher, P. Thomas

• NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Floca, Ralf

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Flores, Kimberly

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Fooladgar, Fahimeh

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Forbes, Florence

• Towards frugal unsupervised detection of subtle abnormalities in medical imaging

Forkert, Nils D.

• A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis

Forte, Vito

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Fournier, Nemo

• A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics

Frangi, Alejandro F.

• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy

Freedman, Daniel

• Self-Supervised Learning for Endoscopic Video Analysis

Freiman, Moti

• PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Frenzel, Marius

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Friedrich, Paul

• Point Cloud Diffusion Models for Automatic Implant Generation

Frisch, Yannik

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Frisken, Sarah

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Fu, Huazhu

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization
• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation
• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory
• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
• Category-independent Visual Explanation for Medical Deep Network Understanding
• ACT-Net: Anchor-context Action Detection in Surgery Videos
• A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Fu, Jia

• UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation

Fu, Pingfu

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Fu, Wei

• Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images

Fu, Weiheng

• Co-assistant Networks for Label Correction

Fu, Yibing

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Fu, Ying

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Fu, Yuzhuo

• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Fu, Zeyu

• Self-adaptive Adversarial Training for Robust Medical Segmentation

Fua, Pascal

• Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy
• LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

Fuchs, Moritz

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Fuh, Chiou-Shann

• Contrastive Feature Decoupling for Weakly-supervised Disease Detection

Fulham, Michael

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Fung, Andrea

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Gadermayr, Michael

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Galban, Craig J.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Galdran, Adrian

• Performance Metrics for Probabilistic Ordinal Classifiers
• Multi-Head Multi-Loss Model Calibration

Gallagher, Gareth

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Gallagher, Kelly

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Gallusser, Benjamin

• Self-supervised dense representation learning for live-cell microscopy with time arrow prediction

Gallée, Luisa

• Interpretable Medical Image Classification using Prototype Learning and Privileged Information

Gamazo Tejero, Javier

• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Gan, Yulu

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Gandjbakhche, Amir

• Skin Lesion Correspondence Localization in Total Body Photography

Gao, Chengrui

• SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks

Gao, Feng

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction

Gao, Jiaxing

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Gao, Jin

• Text-guided Foundation Model Adaptation for Pathological Image Classification

Gao, Jingsheng

• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Gao, Jun

• Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Gao, Qi

• ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

Gao, Riqiang

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Gao, Shengbo

• Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Gao, Simon S.

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Gao, Xiang

• Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN

Gao, Xin

• Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model

Gao, Xinbo

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Gao, Yang

• 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks

Gao, Yongsheng

• A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images

Gao, Yuan

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Gao, Zheyao

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Gao, Zhifan

• Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Garbi, Rafeef

• MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets

Garcia, Alain

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Garvin, Stina

• Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance

Gateno, Jaime

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Gavves, Efstratios

• Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT

Ge, Jia

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Ge, Rongjun

• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training
• JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition
• Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen

Ge, Ruiquan

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Ge, Yuyan

• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Ge, Zhenyi

• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Ge, Zongyuan

• Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering
• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery
• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning
• Privacy-preserving Early Detection of Epileptic Seizures in Videos
• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
• EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos
• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

Gericke, Adrian

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Gernand, Alison D.

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Gessain, Grégoire

• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Gestewitz, Sonja

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Ghadiri, Farnoosh

• From Mesh Completion to AI Designed Crown

Ghahremani, Parmida

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Ghamsarian, Negin

• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Ghesu, Florin C.

• Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision
• ConTrack: Contextual Transformer for Device Tracking in X-ray

Ghimire, Sandesh

• Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation

Gholipour, Ali

• Robust estimation of the microstructure of the early developing brain using deep learning

Ghosh, Debashis

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Ghosh, Shantanu

• Distilling BlackBox to Interpretable models for Efficient Transfer Learning

Ghosh, Soumyendu Sekhar

• QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality

Ghotbi, Reza

• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Giannarou, Stamatia

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation
• Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

Gilani, Syed Zulqarnain

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Gildenblat, Jacob

• Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology

Gilmore, John

• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization

Glocker, Ben

• The Role of Subgroup Separability in Group-Fair Medical Image Classification
• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

Gnirs, Regula

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Godau, Patrick

• Self-distillation for surgical action recognition
• Deployment of Image Analysis Algorithms under Prevalence Shifts

Goh, Rick Siow Mong

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Category-independent Visual Explanation for Medical Deep Network Understanding

Goh, Vicky

• Geometry-invariant abnormality detection

Golany, Tomer

• Self-Supervised Learning for Endoscopic Video Analysis

Golby, Alexandra J.

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Goldenberg, Larry

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Goldenberg, Roman

• Self-Supervised Polyp Re-Identification in Colonoscopy
• Self-Supervised Learning for Endoscopic Video Analysis

Goldstein, Jeffery A.

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Golgher, Lior

• Reconstructing the Hemodynamic Response Function via a Bimodal Transformer

Golland, Polina

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
• Boundary-weighted logit consistency improves calibration of segmentation networks

Gomez, Alberto

• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations
• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Gomez, Oscar

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Goncharov, Mikhail

• vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

Gong, Haifan

• Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
• ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation

Gong, Yuqi

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Gonzalez Duque, Vanessa

• LOTUS: Learning to Optimize Task-based US representations

Gonzalez-Jimenez, Alvaro

• Robust T-Loss for Medical Image Segmentation

González Ballester, Miguel A.

• Multi-Head Multi-Loss Model Calibration

Goodwin, Matthew S.

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Gopinath, Karthik

• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Gori, Pietro

• Weakly-supervised positional contrastive learning: application to cirrhosis classification

Gossmann, Alexej

• Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set

Gottfrois, Philippe

• Robust T-Loss for Medical Image Segmentation

Gotway, Michael B.

• Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

Grace, Emma C.

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Gradischar, Andreas

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Graf, Markus

• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Graf, Robert

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Graham, Mark S.

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Grau, Vicente

• Multi-objective point cloud autoencoders for explainable myocardial infarction prediction

Greer, Hastings

• Inverse Consistency by Construction for Multistep Deep Registration

Greve, Douglas N.

• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Grinspun, Eitan

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Grzeszczyk, Michal K.

• TabAttention: Learning Attention Conditionally on Tabular Data

Grégoire, Vincent

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Gröger, Fabian

• Robust T-Loss for Medical Image Segmentation

Gröhl, Janek

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Gu, Ang Nan

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Gu, Dongdong

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Gu, Jawook

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Gu, Lin

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking

Gu, Pengfei

• SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings

Gu, Shi

• Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration

Gu, Xianfeng

• Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification

Gu, Yi

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Gu, Yun

• TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope
• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage
• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Gu, Yuning

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

Guan, Qingbiao

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images

Guan, Yun

• CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions

Gui, Dorina

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Gui, Peng

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning

Guibault, Francois

• From Mesh Completion to AI Designed Crown

Gundogar, Mustafa

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Guo, Dan

• M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Guo, Jianfei

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Guo, Lei

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics
• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Guo, Miaotian

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models

Guo, Qingyu

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Guo, Wei

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Guo, Wenzhangzhi

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Guo, Xin

• GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis

Guo, Xinyu

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Guo, Xueqi

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Guo, Ziyu

• HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Gupta, Aarush

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Gupta, Mayank

• How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging?
• Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Gupta, Pankaj

• Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Guymer, Robyn H.

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Gyawali, Prashnna K.

• Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation

Gómez, Santiago

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Görtz, Magdalena

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Götz, Michael

• Interpretable Medical Image Classification using Prototype Learning and Privileged Information

Gündel, Sebastian

• Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Haase, Robert

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Hadzic, Armin

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Hahne, Christopher

• Geometric Ultrasound Localization Microscopy

Hajnal, Joseph V.

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction
• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Hale, Matthew

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Hall, Megan

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Halperin, Henry

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Ham, Jiyeon

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Hamamci, Ibrahim Ethem

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Hamamoto, Ryuji

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Hamarneh, Ghassan

• MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets

Hammernik, Kerstin

• NISF: Neural Implicit Segmentation Functions
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Hammers, Alexander

• Multimodal brain age estimation using interpretable adaptive population-graph learning

Han, Chu

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Han, Haojie

• Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness

Han, Junwei

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Han, Kun

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Han, Ligong

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Han, Luyi

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Han, Meng

• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency

Han, Minghao

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Han, Xiaoguang

• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection
• Automatic Bleeding Risk Rating System of Gastric Varices

Han, Yubin

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform
• Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation

Han, Zeyu

• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Hanania, Eyal

• PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Hanif, Asif

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

Hanna, Maria

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Hanrahan, John G.

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Hansen, Christopher

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Hansen, Colin

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Hansen, Lasse

• Unsupervised 3D registration through optimization-guided cyclical self-training

Hao, Boran

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Hao, Jin

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Hao, Jinkui

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Hao, Luoying

• ACT-Net: Anchor-context Action Detection in Surgery Videos

Hao, Zeyi

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Haouchine, Nazim

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Harada, Tatsuya

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking

Harandi, Mehrtash

• L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
• EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

Hassan, Ghulam Mubashar

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Hassan, Mohamed A.

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Hatamimajoumerd, Elaheh

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Hatamizadeh, Ali

• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Hataya, Ryuichiro

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Hatsutani, Taro

• Visual Grounding of Whole Radiology Reports for 3D CT Images
• Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

Hatt, Charles R.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Hayashi, Yuichiro

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence
• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

Hayes, Marie J.

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

He, Bing

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

He, Chunming

• Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher

He, Huiguang

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

He, Ji

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

He, Jingzhen

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

He, Jinlong

• Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

He, Junjun

• Revisiting Feature Propagation and Aggregation in Polyp Segmentation
• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
• Artifact Restoration in Histology Images with Diffusion Probabilistic Models

He, Lifang

• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

He, Mingguang

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning

He, Shengfeng

• Surgical Activity Triplet Recognition via Triplet Disentanglement

He, Tiantian

• A coupled-mechanisms modelling framework for neurodegeneration

He, Xiaoxiao

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

He, Xinzi

• Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing

He, Xuming

• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

He, Yan

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction

He, Yonghong

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

He, Yufan

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

He, Yuting

• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training
• JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

He, Zhenqi

• TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
• Artifact Restoration in Histology Images with Diffusion Probabilistic Models

He, Zhibin

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment

Heimann, Alexander F.

• CT-guided, Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image

Heimann, Tobias

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Heinrich, Mattias P.

• Unsupervised 3D registration through optimization-guided cyclical self-training
• A denoised Mean Teacher for domain adaptive point cloud registration

Heiselman, Jon

• Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast

Hejrati, Mohsen

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Hemmerling, Daria

• High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers

Heng, Pheng-Ann

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation
• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Henningson, Jann-Ole

• Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy

Heo, Juyeon

• Physics-based Decoding Improves Magnetic Resonance Fingerprinting

Hernandez-Prera, Juan

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Herzog, Richard

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Heussel, Claus P.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT
• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Heydari, Bobak

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Hiasa, Yuta

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Higashita, Risa

• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling

Hirsch, Roy

• Self-Supervised Learning for Endoscopic Video Analysis

Hittmair, Anton

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Ho, Tsung-Yi

• Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
• Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor

Hohenfellner, Markus

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Holland, Robbie

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Holm, Felix

• LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms

Holmes, Christopher

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Holste, Gregory

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Hong, Eun K.

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Hong, Gil-Sun

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network

Hong, Qingqi

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Hong, Yi

• A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation

Hoppe, Emily

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Hossain, Khondker Fariha

• Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Hosseinimanesh, Golriz

• From Mesh Completion to AI Designed Crown

Hou, Chao

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Hou, Qingshan

• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis

Hou, Wentai

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction

Hou, Zeyi

• Diversity-preserving Chest Radiographs Generation from Reports in One Stage

Howe, Benjamin M.

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Hsu, William

• CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows

Hu, Dewei

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Hu, Hongjie

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Hu, Huawen

• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark

Hu, Jingtong

• Additional Positive Enables Better Representation Learning for Medical Images

Hu, Qinmin Vivian

• Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI

Hu, Renjiu

• DeDA: Deep Directed Accumulator

Hu, Rui

• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction

Hu, Shishuai

• Transformer-based Annotation Bias-aware Medical Image Segmentation
• Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation

Hu, Xindi

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Hu, Xingcan

• Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping

Hu, Xinrong

• Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
• Additional Positive Enables Better Representation Learning for Medical Images

Hu, Yan

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation
• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
• ACT-Net: Anchor-context Action Detection in Surgery Videos

Hu, Yicheng

• Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

Hu, Yipeng

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Hu, Yiwen

• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Hu, Zhiqiang

• Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs

Huai, Zheang

• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

Huang, Baoru

• Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

Huang, Bin

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data
• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis
• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Huang, Bingsheng

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data
• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis
• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Huang, Chaoqin

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Huang, Chenxi

• Decoupled Consistency for Semi-supervised Medical Image Segmentation

Huang, Han

• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Huang, Heng

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Huang, Jiahao

• CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?

Huang, Jiawei

• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction

Huang, Junjia

• Prompt-based Grouping Transformer for Nucleus Detection and Classification

Huang, Junzhou

• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis
• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Huang, Kai

• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition

Huang, Ke

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Huang, Kun

• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Huang, Qicai

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Huang, Qirui

• Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior

Huang, Sharon X.

• Synthetic Augmentation with Large-scale Unconditional Pre-training

Huang, Shoudong

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Huang, Shoujin

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Huang, Shu-Wei

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Huang, Sijuan

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information

Huang, Wei

• Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation

Huang, Wei-Lun

• Skin Lesion Correspondence Localization in Total Body Photography

Huang, Wenhui

• Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images

Huang, Wenqi

• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Huang, Xiaohong

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Huang, Xiaoqiong

• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Huang, Xiaoyang

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Huang, Yaping

• Uncertainty Inspired Autism Spectrum Disorder Screening

Huang, Yueshan

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Huang, Yuhao

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Huang, Yujun

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Huang, Yunzhi

• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Huang, Zhili

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Huang, Zhou

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Huber, Martin

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
• Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

Hui, Alvin

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Huisken, Jan

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

Hull, Louise

• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Hung, Andrew

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Huo, Jiayu

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Huo, Yuankai

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Hutter, Jana

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Huynh, Khoi Minh

• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
• Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments

Hwang, Dosik

• DiMix: Disentangle-and-Mix based domain generalizable medical image segmentation

Hwang, Jae Youn

• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Hwang, Yechan

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform
• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis

Hyun, Dongwoon

• Differentiable Beamforming for Ultrasound Autofocusing

Hübner, Marco

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Iadanza, Ernesto

• AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes

Iarussi, Emmanuel

• VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
• Learning normal asymmetry representations for homologous brain structures

Ibragimov, Bulat

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk
• Assignment Theory-Augmented Neural Network for Dental Arch Labeling

Ibtehaz, Nabil

• ACC-UNet: A Completely Convolutional UNet model for the 2020s

Ichinose, Akimichi

• Visual Grounding of Whole Radiology Reports for 3D CT Images
• Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

Iglesias, Juan Eugenio

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach
• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Iizuka, Satoshi

• Visual Grounding of Whole Radiology Reports for 3D CT Images

Ilyas, Zaid

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Im, Hyeonseung

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

Indahlastari, Aprinda

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Intrator, Yotam

• Self-Supervised Polyp Re-Identification in Colonoscopy

Isensee, Fabian

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Islam, Mobarakol

• SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
• Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
• CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Isogawa, Mariko

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Ito, Sono

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Iyer, Krithika

• Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy

Jacob, Mathews

• Motion Compensated Unsupervised Deep Learning for 5D MRI

Jain, Kashish

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Jaiswal, Ajay

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Jamzad, Amoon

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Janatka, Mirek

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Janda, Monika

• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Jannes, Jim

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Jbabdi, Saad

• A Transfer Learning Approach to Localise a Deep Brain Stimulation Target

Jenkinson, Mark

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Jeong, Jaehoon

• PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation

Jeong, Jiheon

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network
• CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Jeong, Won-Ki

• Histopathology Image Classification using Deep Manifold Contrastive Learning
• DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

Jewells, Valerie

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning

Ji, Changkai

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

Ji, Zexuan

• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Jia, Gangyong

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Jiang, Aofan

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Jiang, Caiwen

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model

Jiang, Haifeng

• Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention

Jiang, Haotian

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Jiang, Hua

• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Jiang, Lai

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Jiang, Lan

• DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Jiang, Meiqin

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Jiang, Meirui

• FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

Jiang, Xiajun

• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Jiang, Yicheng

• Automatic Bleeding Risk Rating System of Gastric Varices

Jiang, Yuan

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Jiang, Yuncheng

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Jiang, Zhiguo

• Position-aware masked autoencoder for histopathology WSI representation learning

Jiang, Zhihao

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Jiang, Zhongliang

• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

Jiang, Ziyu

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Jiao, Zhicheng

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation
• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Jimeno Yepes, Antonio Jose

• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

Jin, Chao

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Jin, Dakai

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Jin, Haibo

• Unsupervised Domain Adaptation for Anatomical Landmark Detection
• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

Jin, Kyong Hwan

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation

Jin, Mei

• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Jin, Moo-Nyun

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

Jin, Na

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Jin, Peng

• Synthetic Augmentation with Large-scale Unconditional Pre-training

Jin, Qiangguo

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Jin, Ruiyang

• DiffULD: Diffusive Universal Lesion Detection

Jin, Ting

• Gene-induced Multimodal Pre-training for Image-omic Classification

Jin, Yueming

• Surgical Activity Triplet Recognition via Triplet Disentanglement
• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography
• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure
• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Jin, Ze

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Jin, Zhenchao

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Jing, Hongyi

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Jing, Jiasen

• DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data

Jing, Jie

• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning

Jiraskova, Petra

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis

Jodoin, Pierre-Marc

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Jones, Charles

• The Role of Subgroup Separability in Group-Fair Medical Image Classification

Joo, Gihun

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

Joo, Jinho

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

Joshi, Amit

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Joskowicz, Leo

• Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies

Joutard, Samuel

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations

Ju, Lie

• Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering
• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning
• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Judd, Robert M.

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Judge, Thierry

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Jun, Yohan

• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction

Juvekar, Parikshit

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Jäger, H. Rolf

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Jäger, Paul F.

• Understanding Silent Failures in Medical Image Classification
• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
• Deployment of Image Analysis Algorithms under Prevalence Shifts
• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

K. Z. Tehrani, Ali

• Infusing physically inspired known operators in deep models of ultrasound elastography

Kadir, Md Abdul

• EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation

Kadoury, Samuel

• M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision
• Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields

Kahrs, Lueder A.

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Kainz, Bernhard

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks
• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Kaiser, Stephen

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Kaissis, Georgios

• Anatomy-Driven Pathology Detection on Chest X-rays

Kajita, Hiroki

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Kak, Avinash

• Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs

Kakaletri, Irini

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Kalinowski, Piotr

• Deployment of Image Analysis Algorithms under Prevalence Shifts

Kalkhof, John

• M3D-NCA: Robust 3D Segmentation with Built-in Quality Control

Kalogerakis, Evangelos

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Kalra, Prem Kumar

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

Kamath, Amith

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation
• Do we really need that skip-connection? Understanding its interplay with task complexity

Kamath, Cholpady Vikram

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Kambhamettu, Chandra

• Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network

Kammer, Michael

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Kamran, Sharif Amit

• Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Kan, Hongyu

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Kang, Jiseon

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network

Kang, Jun

• Skin Lesion Correspondence Localization in Total Body Photography

Kang, Luoyao

• Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction

Kang, Ming

• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

Kang, Myeongkyun

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation

Kang, Qingbo

• Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Kang, Yanqing

• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach

Kang, Yuxin

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Kannan, Gokul

• SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

Kapoor, Ankur

• Automated CT Lung Cancer Screening Workflow using 3D Camera
• Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera

Kapse, Saarthak

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Kapur, Tina

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Karampinos, Dimitrios

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Karani, Neerav

• Boundary-weighted logit consistency improves calibration of segmentation networks

Karimi, Davood

• Robust estimation of the microstructure of the early developing brain using deep learning

Karlas, Angelos

• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

Kastrati, Ard

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Katanaya, Ami

• Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping

Kato, Yuna

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Katoh, Takashi

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Katsaggelos, Aggelos K.

• Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

Katz, Ian

• Detection of basal cell carcinoma in whole slide images

Kauczor, Hans-Ulrich

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Kaufmann, Manuel

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Kaufmann, Martin

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Kaur, Prabhjot

• Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint

Kausch, Lisa

• Shape-based pose estimation for automatic standard views of the knee

Kautz, Jan

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Kaye, Rebecca

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Kazerouni, Amirhossein

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Kazhdan, Michael

• Skin Lesion Correspondence Localization in Total Body Photography

Ke, Jing

• TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
• StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-Ensemble
• COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities
• An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark

Ke, Sunkui

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Kebiri, Hamza

• Robust estimation of the microstructure of the early developing brain using deep learning

Kee, Chea-su

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Keicher, Matthias

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
• Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting

Keller, Marilyn

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Kennedy, Narelle

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Kerdegari, Hamideh

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Keren, Julia

• From Mesh Completion to AI Designed Crown

Kerner, Alexander M.

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Kerrien, Erwan

• Aneurysm Pose Estimation with Deep Learning

Kettelkamp, Joseph

• Motion Compensated Unsupervised Deep Learning for 5D MRI

Keyes, Mira

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Khan, Danyal Z.

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Khan, Fahad Shahbaz

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
• A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos
• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Khan, Mirza S.

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Khan, Mohammad M. R.

• Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning

Khan, Salman

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

Khanduri, Prashant

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Khodapanah Aghdam, Ehsan

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Khor, Hee Guan

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information

Khosravi, Pooya

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation

Kido, Shoji

• Visual Grounding of Whole Radiology Reports for 3D CT Images

Kihara, Daisuke

• ACC-UNet: A Completely Convolutional UNet model for the 2020s

Kikinis, Ron

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss

Killeen, Benjamin D.

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Kim, Daeseung

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Kim, Ha Young

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Kim, Hyeongyu

• DiMix: Disentangle-and-Mix based domain generalizable medical image segmentation

Kim, Jiho

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Kim, Jinman

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Kim, Jiwon

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Kim, Junha

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Kim, Ki Duk

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network

Kim, Kyungsang

• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction

Kim, Minjeong

• Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases
• TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation
• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
• Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation
• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis

Kim, Namkug

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network
• CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Kim, SaeHyun

• Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning

Kim, Seo Yeong

• Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification

Kim, Seon Ho

• Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image

Kim, Seongho

• Retinal Thickness Prediction from Multi-modal Fundus Photography

Kim, Seongjun

• 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions

Kim, Sewoong

• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Kim, Soopil

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation

Kim, Taesoo

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Kim, Won Hwa

• Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases
• TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation
• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform
• Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis
• Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation
• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis
• Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation

Kim, Yeji

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

King, Andrew P.

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Kirchhoff, Yannick

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Kirk, Thomas F.

• Unified surface and volumetric inference on functional imaging data

Kirschke, Jan S.

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Kist, Andreas M.

• Evolutionary normalization optimization boosts semantic segmentation network performance

Kitahara, Itaru

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

Kitamura, Yoshiro

• Visual Grounding of Whole Radiology Reports for 3D CT Images
• Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

Kitasaka, Takayuki

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence
• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

Klaiman, Eldad

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Kleesiek, Jens

• Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images

Kleinig, Timothy

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Kline, Timothy L.

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Kobayashi, Caique

• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction

Kobayashi, Kazuma

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Kobelke, Levin

• Understanding Silent Failures in Medical Image Classification

Kobler, Erich

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Koch, Lisa M.

• Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Koehler, Gregor

• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Koelzer, Viktor H.

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Kogl, Fryderyk

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations

Koller, Lukas

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Kondori, Nima

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Kong, Wentao

• Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness

Konopczyński, Tomasz

• CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation

Kooi, Thijs

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Korfiatis, Panagiotis

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Korkmaz, Yilmaz

• Self-Supervised MRI Reconstruction with Unrolled Diffusion Models

Kornreich, Micha

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Korski, Konstanty

• Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology

Korzeniowski, Przemysław

• TabAttention: Learning Attention Conditionally on Tabular Data

Kosińska-Kaczyńska, Katarzyna

• TabAttention: Learning Attention Conditionally on Tabular Data

Koutsoukos, Xenofon

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation

Kovacs, Balint

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Krall, Marcell

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Krause, Bryan M.

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

Kreher, Bjoern

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Kreutzer, Christina

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Krishnan, Aravind R.

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Ktistakis, Sophokles

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

Kuanar, Shiba

• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

Kuang, Tianshu

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Kuipers, Thijs P.

• Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis

Kulkarni, Shreyas

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Kumar Sao, Anil

• Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint

Kumar, Amandeep

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

Kumar, Nilesh

• Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation

Kung, Sonia

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Kunze, Holger

• Shape-based pose estimation for automatic standard views of the knee
• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images

Kuo, Yi-Jie

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Kuramatsu, Joji B.

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Kurmukov, Anvar

• vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

Kwak, Jin Tae

• Centroid-aware feature recalibration for cancer grading in pathology images

Kwan, Patrick

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

Kwitt, Roland

• Inverse Consistency by Construction for Multistep Deep Registration

Kyriakopoulou, Vanessa

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Köthe, Ullrich

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Küstner, Thomas

• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Laaksonen, Jorma

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Labadie, Robert F.

• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Lachinov, Dmitrii

• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

Lafarge, Maxime W.

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Lahiani, Amal

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Lai, Maode

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Lajous, Hélène

• Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction

Lam, Saikit

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Lampen, Nathan

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Landman, Bennett A.

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Lang, Ning

• Diversity-preserving Chest Radiographs Generation from Reports in One Stage

Langer, Nicolas

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Lao, Qicheng

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models
• Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Laousy, Othmane

• Certification of Deep Learning Models for Medical Image Segmentation

Lapuschkin, Sebastian

• Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

Larrabide, Ignacio

• Learning normal asymmetry representations for homologous brain structures

Larrazabal, Agostina J.

• Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation

Lartizien, Carole

• Towards frugal unsupervised detection of subtle abnormalities in medical imaging

Lasko, Thomas A.

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Latus, Sarah

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

Laube, Ina

• Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos

Lawry Aguila, Ana

• Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities

Le, Anjie

• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

Le, Ngoc Minh Thu

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Le, Thanh Phuong

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Le, Thi Mai Thao

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Le, Trung

• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation

Learned-Miller, Erik

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Lederman, Richard

• Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies

Lee, Andrew G.

• Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Lee, Dong Hun

• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Lee, Francis Kar-Ho

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Lee, Geunyoung

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform

Lee, Go-Eun

• Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image

Lee, Haeyun

• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Lee, Ho Hin

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Lee, Hyeonsoo

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Lee, Jaeung

• Centroid-aware feature recalibration for cancer grading in pathology images

Lee, Jungwook

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Lee, Kyungsu

• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Lee, Sang Min

• CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Lee, Sangyoon

• CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Lee, Soojin

• Community-Aware Transformer for Autism Prediction in fMRI Connectome

Lee, Victor Ho-Fun

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Lee, Won Hee

• Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification

Leeson, Paul

• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Legasto, Alan C.

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Lei, Baiying

• PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network
• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Lei, Haijun

• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Lei, Jiahao

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Lei, Meng

• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Lei, Wenhui

• Efficient Subclass Segmentation in Medical Images

Lei, Yiming

• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

Lei, Zhen

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Leingang, Oliver

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Lemke, Tristan

• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Lemmens, Robin

• Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Leng, Yilin

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Lenga, Pavlina

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Lennartz, Jonathan

• Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations

Leow, Alex

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Lepetit, Vincent

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Leroy, Amaury

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration

Leslie, William D.

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Levman, Jacob

• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model

Lewis, Joshua R.

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Li, Ao

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Li, Bei

• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Li, Changhe

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet

Li, Chao

• Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
• DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Li, Chaoyi

• Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification

Li, Chengyin

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Li, Chichi

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Li, Chunli

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Li, Cong

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Li, Dandan

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Li, Dawei

• Retinal Thickness Prediction from Multi-modal Fundus Photography
• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Li, Fangda

• Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs

Li, Fei

• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis

Li, Gang

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images

Li, Guanbin

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection
• Prompt-based Grouping Transformer for Nucleus Detection and Classification
• Diffusion-based Data Augmentation for Nuclei Image Segmentation
• Automatic Bleeding Risk Rating System of Gastric Varices
• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Li, Han

• Label-Free Nuclei Segmentation Using Intra-Image Self Similarity
• DiffULD: Diffusive Universal Lesion Detection

Li, Hansheng

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Li, Hao

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Li, Haofeng

• Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
• Prompt-based Grouping Transformer for Nucleus Detection and Classification
• Diffusion-based Data Augmentation for Nuclei Image Segmentation
• ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation

Li, Haojin

• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

Li, Hebei

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Li, Heng

• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
• ACT-Net: Anchor-context Action Detection in Surgery Videos

Li, Hongdong

• EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

Li, Hongwei Bran

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Li, Hui

• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Li, Jiahang

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Li, Jiahao

• DeDA: Deep Directed Accumulator

Li, Jianan

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Li, Jie

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Li, Jing

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Li, Jingxian

• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Li, Jingyu

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Li, Jinpeng

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Li, Jinsong

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Li, Juncheng

• Multi-Scale Prototypical Transformer for Whole Slide Image Classification

Li, Junyu

• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Li, Kai

• Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher

Li, Kang

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
• Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Li, Kehan

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Li, Kunle

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Li, Liangzhi

• Category-independent Visual Explanation for Medical Deep Network Understanding

Li, Lihua

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

Li, Liu

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Li, Meiyu

• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

Li, Meng

• Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification

Li, Mian

• HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis

Li, Ming

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Li, Peize

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Li, Pengfei

• Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Li, Qingli

• Gene-induced Multimodal Pre-training for Image-omic Classification
• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation
• Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation

Li, Qingyuan

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Li, Qiyong

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Li, Quanzheng

• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction
• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Li, Rui

• SFusion: Self-attention based N-to-One Multimodal Fusion Block
• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Li, Rui-Xiang

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Li, Ruijiang

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

Li, Sanqian

• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling

Li, Shangxuan

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Li, Shaozi

• Boundary Difference Over Union Loss For Medical Image Segmentation

Li, Shuo

• Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models
• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training
• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation
• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Li, Tan

• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Li, Thomas Z.

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Li, Tian

• Co-assistant Networks for Label Correction
• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Li, Tiancheng

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Li, Wangting

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Li, Weibin

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Li, Wen

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Li, Wenda

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence

Li, Wenqi

• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Li, Wuyang

• H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment

Li, Xianhang

• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Li, Xianjun

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Li, Xiaomeng

• SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
• Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
• Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
• FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
• DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

Li, Xiaoxiao

• FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
• Community-Aware Transformer for Autism Prediction in fMRI Connectome
• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

Li, Xin

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Li, Xinyi

• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Li, Xiu

• Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher

Li, Xuechen

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Li, Xueyang

• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Li, Xuguang

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Li, Yajing

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Li, Yang

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Li, Yanwei

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Li, Yashi

• Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization

Li, Yi

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data
• Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

Li, Yinwei

• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network

Li, Youcheng

• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

Li, Youhao

• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI

Li, Yu

• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis

Li, Yuexiang

• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

Li, Zeju

• Robust Segmentation via Topology Violation Detection and Feature Synthesis

Li, Zhen

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Li, Zhenhui

• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

Li, Zhihao

• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Li, Zhongyu

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Li, Zi

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Li, Zihan

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Li, Zihao

• Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Li, Zilong

• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

Lian, Chunfeng

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning
• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Liang, Dong

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Liang, Jianming

• Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

Liang, Kongming

• Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

Liang, Pengpeng

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

Liang, Shujun

• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images

Liang, Wei

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks

Liang, Xinggong

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Liao, Hongen

• Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness
• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information
• Retinal Thickness Prediction from Multi-modal Fundus Photography

Liao, Jun

• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Liao, Liang

• Aneurysm Pose Estimation with Deep Learning

Liao, Renjie

• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Liao, Wenjun

• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency

Liao, Xin

• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions

Liao, Zehui

• Transformer-based Annotation Bias-aware Medical Image Segmentation
• Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation

Liao, Zhibin

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
• Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation

Liebschner, Michael A. K.

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Lieffrig, Eléonore V.

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Lienemann, Peter

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Lin, Hongxiang

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Lin, Hu

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Lin, Junhao

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Lin, Lanfen

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Lin, Mingzhen

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Lin, Rizhong

• Robust estimation of the microstructure of the early developing brain using deep learning

Lin, Tian

• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions

Lin, Tiancheng

• SLPD: Slide-level Prototypical Distillation for WSIs

Lin, Weili

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization

Lin, Weixiong

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Lin, Wenjun

• ACT-Net: Anchor-context Action Detection in Surgery Videos

Lin, Xian

• ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Lin, Yi

• Few Shot Medical Image Segmentation with Cross Attention Transformer

Lin, Yili

• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Lin, Yiqun

• Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Lin, Zudi

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Lineberger, John Paul

• On the Relevance of Temporal Features for Medical Ultrasound Video Recognition

Ling, Rongbo

• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Ling, Tianyi

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Lionetti, Simone

• Robust T-Loss for Medical Image Segmentation

Lipa, Michał

• TabAttention: Learning Attention Conditionally on Tabular Data

Little, Callum

• Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions
• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Litwiller, Daniel

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Liu, An-An

• Chest X-ray Image Classification: A Causal Perspective

Liu, Bingyuan

• Trust your neighbours: Penalty-based constraints for model calibration

Liu, Bo

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Liu, Chang

• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Liu, Chao

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Liu, Che

• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Liu, Chenyang

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Liu, Chi

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Liu, Dongnan

• Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

Liu, Feihong

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Liu, Furui

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Liu, Gang

• Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Liu, Han

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Liu, Hong

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

Liu, Hongbin

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Liu, Huabing

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping

Liu, Huafeng

• Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization
• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction
• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Liu, Hui

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Liu, Jia

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Liu, Jiameng

• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model
• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Liu, Jiaming

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Liu, Jiang

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation
• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
• ACT-Net: Anchor-context Action Detection in Surgery Videos

Liu, Jiangcong

• CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions

Liu, Jixuan

• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Liu, Johnny Yuehan

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Liu, Li

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Liu, Lian

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Liu, Linfeng

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Liu, Luyan

• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images

Liu, Mengjun

• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Liu, Mengting

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization
• Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis

Liu, Mianxin

• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model
• Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner
• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Liu, Mingxia

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI
• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Liu, Mingyuan

• Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

Liu, Peng

• Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment

Liu, Qian

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Liu, Quan

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Liu, Shaojun

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Liu, Shouyue

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Liu, Shuting

• Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Liu, Side

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Liu, Sijing

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Liu, Siqi

• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection
• Diffusion-based Data Augmentation for Nuclei Image Segmentation
• Automatic Bleeding Risk Rating System of Gastric Varices

Liu, Siyu

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Liu, Siyuan

• SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI

Liu, Tao

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Liu, Tianbao

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Liu, Tianming

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Liu, Ting

• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Liu, Wei

• Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images
• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification
• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Liu, Weiyang

• Physics-based Decoding Improves Magnetic Resonance Fingerprinting

Liu, Wenjie

• Solving Low-Dose CT Reconstruction via GAN with Local Coherence

Liu, Xian

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Liu, Xianjie

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation

Liu, Xiaofeng

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Liu, Xiaohua

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Liu, Xiaoli

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis

Liu, Xiaoming

• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture

Liu, Xingyu

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Liu, Xiujian

• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Liu, Yan

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills
• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction

Liu, Yang

• Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Liu, Yanzhen

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Liu, Yaoyao

• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Liu, Yi

• Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network

Liu, Yi-Hwa

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Liu, Yifan

• Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation

Liu, Yikang

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Liu, Yingying

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Liu, Yishu

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Liu, Yong

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory
• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Category-independent Visual Explanation for Medical Deep Network Understanding

Liu, Yonghuai

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Liu, Yu

• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

Liu, Yuan

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

Liu, Yuanye

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Liu, Yuhang

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

Liu, Yuting

• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Liu, Yuxiao

• Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner

Liu, Zaiyi

• UOD: Universal One-shot Detection of Anatomical Landmarks
• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Liu, Zecheng

• SFusion: Self-attention based N-to-One Multimodal Fusion Block

Liu, Zhengji

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Liu, Zhentao

• Multi-View Vertebra Localization and Identification from CT Images

Liu, Zhiyuan

• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Liu, Zhong

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Liu, Ziwei

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Liu, Zuozhu

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Livne, Amir

• Self-Supervised Polyp Re-Identification in Colonoscopy
• Self-Supervised Learning for Endoscopic Video Analysis

Lloret Carbonell, Eduard

• COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities

Lluch, Èric

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Lo, Claudia T. K.

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

Loehr, Timo

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Lohmeyer, Quentin

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

Lombaert, Herve

• Trust your neighbours: Penalty-based constraints for model calibration

Long, Jin

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Long, Yifei

• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

Lotery, Andrew J.

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Lou, Wei

• Diffusion-based Data Augmentation for Nuclei Image Segmentation

Lourentzou, Ismini

• Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images

Lovell, Brian C.

• Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification

Lu, Chunyao

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Lu, Donghuan

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Lu, Guangming

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Lu, Haiping

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Lu, Hong

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Lu, Huchuan

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Lu, Le

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Lu, Mengkang

• Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis

Lu, Mingxuan

• HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis

Lu, Tao

• UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation

Lu, Wenjing

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Lu, Xinwu

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Lu, Yihuan

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Lu, Zexin

• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning

Lu, Zhiyong

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Luna, Miguel

• PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation

Lundström, Claes

• Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance

Lung, Phillip

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Lungren, Matthew P

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Luo, Gongning

• Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model

Luo, Jie

• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Luo, Luyang

• Scale Federated Learning for Label Set Mismatch in Medical Image Classification
• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Luo, Mingyuan

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Luo, Naisong

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation

Luo, Xiangde

• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency
• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Luo, Xiongbiao

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation
• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Luo, Yanji

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data

Luo, Yin

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Luo, Yu

• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

Luo, Zhiming

• Boundary Difference Over Union Loss For Medical Image Segmentation

Luo, Zhongjin

• Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Luong, Christina

• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Lüth, Carsten T.

• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Lv, Hong

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Lv, Tianxu

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

Lyu, Jun

• Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI

Lyu, Junyan

• Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation

Lyu, Mengye

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

López Diez, Paula

• Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation

López de Rodas, Miguel

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer

M. Shama, Deeksha

• DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data

Ma, Chao

• Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images

Ma, Chenglong

• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction

Ma, Chong

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Ma, Congbo

• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Ma, DongAo

• Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

Ma, Hao

• CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions

Ma, Haoyu

• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Ma, Jianhua

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Ma, Jiechao

• Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Ma, Jiquan

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Ma, Jun

• Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement

Ma, Kai

• Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis

Ma, Ke

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Ma, Lei

• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model

Ma, Qiang

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Ma, Serie

• Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model

Ma, Tai

• PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer

Ma, Wenao

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Ma, Xiao

• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Ma, Yingfan

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

MacAulay, Calum

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

MacCormac, Oscar

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Mach, Kristina

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)

Madabhushi, Anant

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer
• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Maffei, Chiara

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Magdamo, Colin

• Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Magnier, Baptiste

• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair

Mah, Yee H.

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Mahapatra, Dwarikanath

• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification
• AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

Mahdavi, Mobina

• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Mahdi, Fahad Parvez

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Mai, Huayu

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation

Mai, Julia

• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

Mai, Sijie

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Maier, Andreas

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia
• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images
• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T
• Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps
• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation
• Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Maier, Mathias

• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition

Maier-Hein, Klaus H.

• Shape-based pose estimation for automatic standard views of the knee
• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
• atTRACTive: Semi-automatic white matter tract segmentation using active learning
• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Maier-Hein, Lena

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Semantic segmentation of surgical hyperspectral images under geometric domain shifts
• Self-distillation for surgical action recognition
• Deployment of Image Analysis Algorithms under Prevalence Shifts

Mak, Calvin Hoi-Kwan

• Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Makhlouf, Mohamed H. E.

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Makris, Nikos

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Malallah, Ra'ed

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Maldonado, Fabien

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Malpani, Anand

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Man, Xiaoyong

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Mandal, Indrajeet

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Mandal, Subhamoy

• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

Manetti, Leonardo

• AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes

Mangulabnan, Jan

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Mann, Ritse

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Mantilla, Daniel

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Mao, Haiyang

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction

Mao, Xinyu

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Mao, Ye

• DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Mar, Victoria

• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Marcu, Laura

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Marcus, Hani J.

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Mardani, Morteza

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Margeta, Jan

• Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation

Marinescu, Razvan

• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model

Marino, Joseph

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Marinov, Zdravko

• Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images

Marr, Carsten

• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

Martin, Bruce

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

Martínez, Fabio

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Mart́ınez, César

• Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation

Mascagni, Pietro

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Mastracci, Tara

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Matek, Christian

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Mathai, Tejas Sudharshan

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Mathew, Philip

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Mathews, Sunish

• Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions
• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Matinfar, Sasan

• From Tissue to Sound: Model-based Sonification of Medical Imaging

Matten, Philipp

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)

Matthews, Thomas Paul

• M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Maughan, Timothy S.

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Maul, Noah

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Maury, Pauline

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior

Mazomenos, Evangelos B.

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

Márquez-Neila, Pablo

• Localized Questions in Medical Visual Question Answering
• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Mbakwe, Amarachi B.

• Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images

McGinnis, Julian

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• NISF: Neural Implicit Segmentation Functions

McKinley, Richard

• CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph

Meboldt, Mirko

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

Mehl, Albert

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Mehta, Deval

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

Mehta, Manas

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Mehta, Raghav

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Mei, Jieru

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Mei, Lanzhuju

• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Mei, Lifeng

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Meijering, Erik

• Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images

Meinzer, Clara

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Meissen, Felix

• Anatomy-Driven Pathology Detection on Chest X-rays

Meister, Felix

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Men, Aidong

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models

Meng, Deyu

• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Meng, Helen Mei-Ling

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Meng, Max Q.-H.

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Meng, Mingyuan

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Meng, Qingjie

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Meng, Ting

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

Mennecke, Angelika

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Menten, Martin J.

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Menze, Bjoern

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Merchant, Shaila

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Merhof, Dorit

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Merkow, Jameson

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Meszoely, Ingrid

• Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast

Metaxas, Dimitris N.

• Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Miao, Kai

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

Michael, Dominik

• Self-distillation for surgical action recognition

Mieling, Robin

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

Miga, Michael

• Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast

Mihalef, Viorel

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Milioglou, Ioannis

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Min, Xuhong

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Min, Yifei

• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Minkowitz, Shlomo

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Mirzaie, Nahal

• Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery

Misawa, Kazunari

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence

Mishra, Divyanshu

• Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Mithal, Leena

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Mitrofanova, Lubov

• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation

Miyake, Mototaka

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Modanwal, Gourav

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Moghadam, Peyman

• L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

Mohaiu, Antonia T.

• Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision

Mohareri, Omid

• SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

Mok, Tony C. W.

• Unsupervised 3D registration through optimization-guided cyclical self-training
• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Mokhtari, Masoud

• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Molina, Rafael

• Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

Montiel, José M. M.

• Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy
• LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

Moradi, Mehdi

• Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images

Morales, Manuel

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Morales-Álvarez, Pablo

• Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

Morano, José

• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

Mori, Kensaku

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence
• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

Mori, Shohei

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Motta, Alessandro

• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Mou, Lei

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization

Mousavi, Parvin

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Mower, Christopher

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Mozafari, Mohammad

• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation

Mukherjee, Pritam

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Mukhopadhyay, Anirban

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
• M3D-NCA: Robust 3D Segmentation with Built-in Quality Control

Muller, Sarah M.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Munoz, Alexandre

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior

Murali, Aditya

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Murillo, Ana C.

• Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy
• CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy

Murugesan, Balamurali

• Trust your neighbours: Penalty-based constraints for model calibration

Mutter, Didier

• Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Mwinyelle, Delia

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Myronenko, Andriy

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Möhle, Tim A.

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Mühlau, Mark

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Müller, Gesine

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

Müller, Johanna P.

• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

Müller, Philip

• Anatomy-Driven Pathology Detection on Chest X-rays

Müller-Stich, Beat Peter

• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Na, Saiyang

• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study

Nachev, Parashkev

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Nadeem, Saad

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Naganawa, Mika

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Najdenkoska, Ivona

• Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Nakagawa, Akira

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Nakamori, Shiro

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Nakamura, Keigo

• Visual Grounding of Whole Radiology Reports for 3D CT Images
• Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

Nakhli, Ramin

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Nam, Siwoo

• PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation

Nam, Yujin

• Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network

Nan, Yang

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

Nanan, Ralph

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Nandakumar, Karthik

• FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

Narasimha Murthy, Venkatesh

• ConTrack: Contextual Transformer for Device Tracking in X-ray

Narayan, Sanath

• Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

Naseer, Muzammal

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

Nasrallah, Fatima

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery
• Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation

Nasseri, M. Ali

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition

Nath, Vishwesh

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation
• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Naushad, Junayed

• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Navab, Nassir

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
• WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures
• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation
• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
• Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
• MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
• LOTUS: Learning to Optimize Task-based US representations
• LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition
• Intelligent Virtual B-scan Mirror (IVBM)
• From Tissue to Sound: Model-based Sonification of Medical Imaging
• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration
• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Navarini, Alexander A.

• Robust T-Loss for Medical Image Segmentation

Neher, Peter

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Nerrise, Favour

• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

Netzer, Nils

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Neubig, Luisa

• Evolutionary normalization optimization boosts semantic segmentation network performance

Nezafat, Reza

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Nguyen, Anh

• Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

Nguyen, Phuc

• QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality

Nguyen, Van Hao

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Nguyen-Duc, Thanh

• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation

Ni, Dong

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning
• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer
• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation
• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Ni, Haomiao

• Synthetic Augmentation with Large-scale Unconditional Pre-training

Nickel, Felix

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Nie, Dong

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping
• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Nie, Weizhi

• Chest X-ray Image Classification: A Causal Perspective

Nie, Xinyu

• Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions

Niederer, Steven A.

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Niessen, Wiro

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Niethammer, Marc

• Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
• MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
• Inverse Consistency by Construction for Multistep Deep Registration

Ning, Lipeng

• Maximum-entropy estimation of joint relaxation-diffusion distribution using multi-TE diffusion MRI

Ning, Munan

• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Nishimura, Kazuya

• Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping

Niu, Chen

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Niu, Jingxuan

• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling

Noble, J. Alison

• Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Noble, Jack H.

• Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning
• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Noimark, Sacha

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Nolden, Marco

• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Norajitra, Tobias

• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Norouzi, Narges

• FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification

Nourski, Kirill V.

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

Nwoye, Chinedu Innocent

• Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
• Self-distillation for surgical action recognition

Nölke, Jan-Hinrich

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Self-distillation for surgical action recognition

O'Donnell, Lauren J.

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Oakden-Rayner, Lauren

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Oberli-Palma, Sabrina

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Oda, Masahiro

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence
• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

Odry, Benjamin

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Oghbaie, Marzieh

• Transformer-based end-to-end classification of variable-length volumetric data

Oguz, Ipek

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Oh, Ellen Jieun

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform

Oh, Hyun-Jic

• DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

Okada, Seiji

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Okamoto, Nariaki

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Okuno, Yasushi

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Olchanyi, Mark D.

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Ong, Joshua

• Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Onofrey, John A.

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Oo, Htoo

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Ooi, Gideon Su Kai

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Oostingh, Gertie Janneke

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Orlando, José Ignacio

• Learning normal asymmetry representations for homologous brain structures

Ortiz, Andrés

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Osgood, Greg

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Ostadabbas, Sarah

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Otake, Yoshito

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Ou, Chubin

• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Oudoumanessah, Geoffroy

• Towards frugal unsupervised detection of subtle abnormalities in medical imaging

Ourselin, Sébastien

• Unsupervised 3D out-of-distribution detection with latent diffusion models
• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Geometry-invariant abnormality detection
• Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Ouyang, Cheng

• Robust Segmentation via Topology Violation Detection and Feature Synthesis

Ouyang, Jiahong

• LSOR: Longitudinally-Consistent Self-Organized Representation Learning

Ouyang, Xi

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Oxtoby, Neil P.

• A coupled-mechanisms modelling framework for neurodegeneration

Ozturkler, Batu

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Özdemir, Berkin

• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

O’Brien, Terence

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

Packhäuser, Kai

• Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Padoy, Nicolas

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
• Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
• Self-distillation for surgical action recognition
• Intraoperative CT augmentation for needle-based liver interventions
• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Paetzold, Johannes C.

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Pahde, Frederik

• Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

Pai, Santosh

• Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera

Palazzo, Simone

• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Palmer, Lyle J

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Pan, Bai-Shen

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Pan, Cuizhen

• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Pan, Jiahui

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Pan, Jiayi

• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

Pan, Jiazhen

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• NISF: Neural Implicit Segmentation Functions
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Pan, Kai

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Pan, Li

• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Pan, Mingjie

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Pan, Sai

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Pan, Xiang

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

Pan, Yimu

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Pan, Yongsheng

• Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation
• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model

Pang, Jiaxuan

• Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

Pang, Maolin

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Papa, Samuele

• Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT

Papageorghiou, Aris T.

• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Papanai, Ashish

• Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Papanastasiou, Giorgos

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

Paragios, Nikos

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
• StructuRegNet: Structure-guided Multimodal 2D-3D Registration
• Certification of Deep Learning Models for Medical Image Segmentation

Paranjape, Jay N.

• Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

Parent, Stefan

• Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields

Park, Beomhee

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Park, Eunkyung

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Park, Hye Won

• Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification

Park, Joonhyuk

• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis

Park, Junbeom

• Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks

Park, Sang Hyun

• PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation
• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

Park, Sihwa

• 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions

Paschali, Magdalini

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Paschalidis, Ioannis Ch.

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Passerini, Tiziano

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Pasumarthi, Srivathsa

• Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

Patel, Ashay

• Geometry-invariant abnormality detection

Patel, Uday

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Patel, Vishal M.

• Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
• GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
• Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

Patou, François

• Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation

Paul, William

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Paulsen, Rasmus R.

• Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation

Pavlak, Mitchell

• Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

Pawar, Jayashri

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Pawlowski, Nick

• Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Payette, Kelly

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Pellegrini, Chantal

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
• Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
• LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms

Pely, Adam

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Peng, Can

• Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification

Peng, Guijuan

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Peng, Peng

• Debiasing Medical Visual Question Answering via Counterfactual Training

Peng, Qingsheng

• Category-independent Visual Explanation for Medical Deep Network Understanding

Peng, Shaowu

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Peng, Su

• Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network

Peng, Tingying

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
• B-Cos Aligned Transformers Learn Human-Interpretable Features

Peng, Wei

• LSOR: Longitudinally-Consistent Self-Organized Representation Learning
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

Peng, Yifan

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Pennisi, Matteo

• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Peretzke, Robin

• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Peterlin, Primož

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

Petersen, Jens

• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Petrick, Nicholas

• Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

Pfister, Hanspeter

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Phan, Minh Hieu

• Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation

Phan, Raphaël C. W.

• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

Phung Tran Huy, Nhat

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Phung, Dinh

• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation

Piccini, Davide

• Motion Compensated Unsupervised Deep Learning for 5D MRI

Picker, Bjoern

• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Pierre, Fabien

• Aneurysm Pose Estimation with Deep Learning

Pinaya, Walter Hugo Lopez

• Unsupervised 3D out-of-distribution detection with latent diffusion models
• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
• Geometry-invariant abnormality detection

Pinetz, Thomas

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Pinto, Karen

• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

Pisani, Luigi

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Pisov, Maxim

• vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

Pleasure, Mara

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Plomecka, Martyna

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Pocevičiūtė, Milda

• Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance

Podobnik, Gašper

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

Poel, Robert

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

Pohl, Kilian M.

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation
• LSOR: Longitudinally-Consistent Self-Organized Representation Learning
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

Poon, Charissa

• Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

Popdan, Ioan M.

• Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision

Popordanoska, Teodora

• Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Porrello, Angelo

• DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs

Poston, Kathleen L.

• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

Potamias, Rolandos Alexandros

• Multimodal brain age estimation using interpretable adaptive population-graph learning

Potter, Guy G.

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Pouly, Marc

• Robust T-Loss for Medical Image Segmentation

Prabhakar, Chinmay

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Pradel, Charlotte

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Prasanna, Prateek

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Prevost, Raphael

• Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks
• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration

Price, Stephen

• Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

Priest, James

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Prince, Jerry L.

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Prince, Richard

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Princich, Juan Pablo

• Learning normal asymmetry representations for homologous brain structures

Privalov, Maxim

• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images

Priya, Sarv

• Motion Compensated Unsupervised Deep Learning for 5D MRI

Proietto Salanitri, Federica

• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Prokein, Andreas

• Automated CT Lung Cancer Screening Workflow using 3D Camera

Psychogyios, Dimitrios

• Realistic endoscopic illumination modeling for NeRF-based data generation

Pujades, Sergi

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Pushparajah, Kuberan

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Pîrvan, Felix Alexandru

• Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera

Płotka, Szymon

• TabAttention: Learning Attention Conditionally on Tabular Data

Płuszka, Paweł

• CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation

Qi, Hao

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Qi, Jiansong

• Uncertainty Inspired Autism Spectrum Disorder Screening

Qi, Jinyi

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Qi, Lei

• 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks

Qi, Wei

• Automatic Bleeding Risk Rating System of Gastric Varices

Qi, Xiaojuan

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

Qi, Yaolei

• Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning

Qian, Jikuan

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Qian, Yiming

• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Category-independent Visual Explanation for Medical Deep Network Understanding

Qiang, Yao

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Qiao, Liang

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Qiao, Lishan

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Qiao, Mengyun

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Qiao, Yu

• Text-guided Foundation Model Adaptation for Pathological Image Classification

Qin, Chao

• A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Qin, Chenchen

• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Qin, Jing

• Surgical Activity Triplet Recognition via Triplet Disentanglement
• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

Qin, Wenjian

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Qin, Yi

• FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

Qin, Ziyuan

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models

Qiu, Jianrong

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Qiu, Jingna

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Qiu, Mingyan

• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Qiu, Peijie

• QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality

Qiu, Peng

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Qiu, Shijun

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Qiu, Yuehui

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Qiu, Zhaowen

• Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model

Qu, Linhao

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

Qu, Tianyi

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Quan, Quan

• UOD: Universal One-shot Detection of Anatomical Landmarks
• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

Quan, Tianhong

• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

Quinton, Ann

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Radbruch, Alexander

• Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Raffler, Philipp

• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Ragoza, Matthew

• Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography

Rahman, Mahboob

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Rajput, Junaid R.

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Raju, Ashwin

• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead

Rakhit, Roby

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Ram, Sundaresh

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Ramadani, Ardit

• WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures

Raman, Subha

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Ramanathan, Sumana

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Ran, Ran

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Rao, Wenhao

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Rapoport Ferman, Judith

• Estimated time to surgical procedure completion: An exploration of video analysis methods

Rasoulian, Amirhossein

• Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
• FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

Rathi, Yogesh

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Ravikumar, Nishant

• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy

Ray, Surajit

• Deep probability contour framework for tumour segmentation and dose painting in PET images

Razavi, Reza

• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Rebizant, Beata

• TabAttention: Learning Attention Conditionally on Tabular Data

Reid, Siobhan

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Reiner, Orly

• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Reinke, Annika

• Deployment of Image Analysis Algorithms under Prevalence Shifts

Remedios, Lucas W.

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Ren, Hongliang

• SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
• Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
• CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Ren, Jie

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Ren, Kai

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation

Ren, Kevin Y. M.

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Ren, Qin

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Ren, Zehua

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Reuter, Julia H.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Revel, Marie-Pierre

• Certification of Deep Learning Models for Medical Image Segmentation

Reyes, Mauricio

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation
• Do we really need that skip-connection? Understanding its interplay with task complexity
• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

Reynaud, Hadrien

• Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Rhodes, Nicholas G.

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Rich, Katherine

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Richey, Winona

• Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast

Rickmann, Anne-Marie

• Vertex Correspondence in Cortical Surface Reconstruction

Riedl, Sophie

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Ringel, Morgan

• Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast

Ripart, Mathilde

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Rist, Leonhard

• Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps

Rittscher, Jens

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Rivaz, Hassan

• Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
• Infusing physically inspired known operators in deep models of ultrasound elastography
• FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

Rivlin, Ehud

• Self-Supervised Polyp Re-Identification in Colonoscopy
• Self-Supervised Learning for Endoscopic Video Analysis

Robert, Charlotte

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior

Robinson, Emma C.

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Robinson, Paul D.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Robinson, Terry E.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Rockall, Andrea

• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

Rockenbach, Marcio Aloisio Bezerra Cavalcanti

• DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction

Roddan, Alfie

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Rodrigo, Sashya

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Rodriguez, Jennifer

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Rodríguez, Jhonathan

• A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types

Roh, Byungseok

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

Rohban, Mohammad H.

• Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery

Rohé, Marc-Michel

• Weakly-supervised positional contrastive learning: application to cirrhosis classification

Rohleder, Maximilian

• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images
• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Rohrer, Jonathan D.

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Romanin, Ludovica

• Motion Compensated Unsupervised Deep Learning for 5D MRI

Romero, Eduardo

• A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types

Rominger, Axel

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Ronchetti, Matteo

• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration

Roodaki, Hessam

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)

Roschewitz, Mélanie

• The Role of Subgroup Separability in Group-Fair Medical Image Classification

Roth, Holger R.

• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Rowan, Cassandra B.

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Roy, Kaushik

• L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

Roy, Saikat

• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
• atTRACTive: Semi-automatic white matter tract segmentation using active learning

Roy, Sudipta

• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

Ruan, Jiacheng

• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Ruan, Shulan

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Ruan, Wenjie

• Self-adaptive Adversarial Training for Robust Medical Segmentation

Rudan, John F.

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Rueckert, Daniel

• What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection
• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
• NISF: Neural Implicit Segmentation Functions
• Multimodal brain age estimation using interpretable adaptive population-graph learning
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
• Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction
• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration
• Anatomy-Driven Pathology Detection on Chest X-rays
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Ruijters, Danny

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Rummel, Christian

• CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph

Rushmore, Richard

• Inverse Consistency by Construction for Multistep Deep Registration

Rutherford, Mary A.

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Rygiel, Patryk

• CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation

Rüfenacht, Elias

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

Saadat, Armin

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Sabuncu, Mert R.

• Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing

Saha, Pramit

• Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Saito, Hideo

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Saiyin, Jiya

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Salari, Soorena

• Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
• FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

Salcudean, Septimiu E.

• SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

Saleem, Afsah

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Saleh, Mahdi

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

Salehi, Mehrdad

• From Tissue to Sound: Model-based Sonification of Medical Imaging

Saligrama, Smitha

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Saltz, Joel

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Samaras, Dimitris

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Samek, Wojciech

• Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

San Jose Estepar, Raul

• Inverse Consistency by Construction for Multistep Deep Registration

Sanabria, Sergio J.

• Differentiable Beamforming for Ultrasound Autofocusing

Sanchez, Thomas

• Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction

Sandler, Kim L.

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Sang, Shengtian

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Sang, Yudi

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Sanian, Mohammad V.

• Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery

Sanner, Antoine

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Santarnecchi, Emiliano

• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Santhirasekaram, Ainkaran

• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

Sapkota, Nishchal

• SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings

Sarfati, Emma

• Weakly-supervised positional contrastive learning: application to cirrhosis classification

Sari, Hasan

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Sasage, Ren

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Sato, Yoshinobu

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Schalper, Kurt

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer

Schäfer, Ute

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Scheib, Stefan

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

Schellenberg, Melanie

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Self-distillation for surgical action recognition

Scheppach, Markus

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Scherptong, Roderick

• Joint optimization of a β-VAE for ECG task-specific feature extraction

Schlaefer, Alexander

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

Schlemmer, Heinz-Peter

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Schlereth, Maja

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Schmidt, Adam

• SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

Schmidt, Manuel

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Schmidt-Erfurth, Ursula

• Transformer-based end-to-end classification of variable-length volumetric data
• Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Schnabel, Julia A.

• What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection
• Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Schobs, Lawrence

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Schoeffmann, Klaus

• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Scholl, Hendrik P. N.

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Schousboe, John T.

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Schrader, Adrian

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Schroder, Anna

• A coupled-mechanisms modelling framework for neurodegeneration

Schultz, Thomas

• Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations

Schunkert, Heribert

• WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Schwartz-Mette, Rebecca A.

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Schönlieb, Carola-Bibiane

• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
• CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?

Schütz, Viktoria

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Scroop, Rebecca

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Seenivasan, Lalithkumar

• SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

Seidlitz, Silvia

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Seitel, Alexander

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Sekhon, Jas

• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Sekuboyina, Anjany

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Sellner, Jan

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Sembill, Jochen A.

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Semmler, Marion

• Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy

Sen, Debashis

• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

Shafiabadi Hassani, Neda

• STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Shah, Anand

• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Shah, Mubarak

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Shah, Nisarg A.

• GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos

Shaharabany, Tal

• Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Shahin, Ahmed H.

• From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation

Shan, Hongming

• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
• BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
• ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

Shang, Chunnan

• Debiasing Medical Visual Question Answering via Counterfactual Training

Shang, Muheng

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Shang, Xianwen

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning

Shao, Wei

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
• Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition
• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Shao, Wen-Qi

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Shao, Yifan

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Shapey, Jonathan

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Shapiro, Ron

• Self-Supervised Learning for Endoscopic Video Analysis

Shareef, Bryar

• Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

Sharif, Behzad

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Sharma, Saurav

• Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions

Shastry, K. N. Ajay

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

She, Dong

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Shen, Chen

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Shen, Chenyu

• PET Image Denoising with Score-Based Diffusion Probabilistic Models

Shen, Dinggang

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model
• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
• Multi-View Vertebra Localization and Identification from CT Images
• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification
• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis
• Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner
• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images
• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography
• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Shen, Guoyao

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Shen, Hailan

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Shen, Hengtao

• Co-assistant Networks for Label Correction

Shen, Hui

• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold

Shen, Jun

• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

Shen, Li

• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

Shen, Linlin

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Shen, Qingni

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Shen, Thomas C.

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Shen, Wei

• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Shen, Xiaojing

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions

Shen, Yan

• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

Shen, Yiqing

• TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
• StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-Ensemble
• Revisiting Feature Propagation and Aggregation in Polyp Segmentation
• COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities
• Artifact Restoration in Histology Images with Diffusion Probabilistic Models
• An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark

Shen, Zhenrong

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Sheng, Jianpeng

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors

Sheng, Rui

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Sheng, Yuanyuan

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Shi, Chao

• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Shi, Enze

• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Shi, Feng

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Shi, Hengcan

• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Shi, Hong

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Shi, Jun

• Position-aware masked autoencoder for histopathology WSI representation learning
• Multi-Scale Prototypical Transformer for Whole Slide Image Classification
• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Shi, Kuangyu

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Shi, Lulin

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

Shi, Luyue

• Automatic Bleeding Risk Rating System of Gastric Varices

Shi, Nannan

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Shi, Wenlong

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Shi, Xiaoshuang

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision
• Co-assistant Networks for Label Correction

Shi, Yi

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Shi, Yinghuan

• 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks

Shi, Yiyu

• Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
• Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
• Additional Positive Enables Better Representation Learning for Medical Images

Shi, Yonggang

• Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography
• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention
• Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimer's Disease
• Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions

Shi, Yu

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Shi, Yuxin

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Shichrur, Shmuel

• Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Shih, George

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Shih, Helen A.

• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Shimogori, Tomomi

• Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

Shin, Yejee

• DiMix: Disentangle-and-Mix based domain generalizable medical image segmentation

Shishido, Hidehiko

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

Shit, Suprosanna

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Shou, Jianzhong

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Shrestha, Pragyan

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

Shrivastava, Aman

• NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Shu, Xianhong

• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Shui, Changjian

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

Shui, Zhongyi

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Sideri-Lampretsa, Vasiliki

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

Sidulova, Mariia

• Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set

Sikder, Shameema

• GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
• Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

Siless, Viviana

• VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis

Silosky, Michael

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Simo-Serra, Edgar

• Visual Grounding of Whole Radiology Reports for 3D CT Images

Simonetti, Orlando

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Simpson, Hugh

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

Simsar, Enis

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Simson, Walter

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
• LOTUS: Learning to Optimize Task-based US representations
• Differentiable Beamforming for Ultrasound Autofocusing

Singh Minhas, Atul

• Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint

Singh, Vivek

• Automated CT Lung Cancer Screening Workflow using 3D Camera

Sinusas, Albert

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Sirinukunwattana, Korsuk

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Sisk, Anthony

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Sitek, Arkadiusz

• TabAttention: Learning Attention Conditionally on Tabular Data

Sivaprasad, Sobha

• Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

Sivathamboo, Shobi

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

Skibbe, Henrik

• Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

Slabaugh, Greg

• Joint Dense-Point Representation for Contour-Aware Graph Segmentation

Slebos, Robbert J. C.

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Smidt, Finn-Henri

• Self-distillation for surgical action recognition

Smith, Andrew

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

Smith, D. Hudson

• On the Relevance of Temporal Features for Medical Ultrasound Video Recognition

Smith, James

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Smith, Luke

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Smith, Stephen

• A Transfer Learning Approach to Localise a Deep Brain Stimulation Target

Snoek, Cees G. M.

• Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Soboleva, Vera

• vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

Socha, Miroslaw

• High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers

Soin, Arjun

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Soleymani Baghshah, Mahdieh

• VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation

Sommersperger, Michael

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
• Intelligent Virtual B-scan Mirror (IVBM)

Song, Bo

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

Song, Dan

• Chest X-ray Image Classification: A Causal Perspective

Song, In-Seok

• Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning
• 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions

Song, Jiaming

• SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

Song, Kaimin

• Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

Song, Pingfan

• Physics-based Decoding Improves Magnetic Resonance Fingerprinting

Song, Qilong

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Song, Su Jeong

• Retinal Thickness Prediction from Multi-modal Fundus Photography

Song, Yang

• Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images
• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Song, Yuhui

• Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation

Song, Zhijian

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

Song, Zhiyun

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Songdechakraiwut, Tananun

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

Sonke, Jan-Jakob

• Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT

Sonntag, Daniel

• EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation

Soskic, Sonja

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Sosna, Jacob

• Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies

Sotiras, Aristeidis

• QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality

Soufi, Mazen

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Sowmya, Arcot

• Detection of basal cell carcinoma in whole slide images

Soyer, Peter

• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Spampinato, Concetto

• A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications

Speier, William

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Spinat, Quentin

• X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior

Spinner, Robert J.

• A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging

Spitzer, Hannah

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Sridar, Pradeeba

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Srikanthan, Dilakshan

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Stadlinger, Bernd

• Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Staib, Lawrence

• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Stamminger, Marc

• Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy

Stangassinger, Lea Maria

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Stanley, Emma A. M.

• A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis

Staring, Marius

• Joint optimization of a β-VAE for ECG task-specific feature extraction

Steffens, David C.

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Stegmaier, Johannes

• Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos

Steinberger, Sharon

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Stelter, Jonathan

• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Stenzinger, Albrecht

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Stieber, Max

• Self-supervised dense representation learning for live-cell microscopy with time arrow prediction

Stiefelhagen, Rainer

• Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images

Still, John M.

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Stollenga, Marijn F.

• Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks

Stolt-Ansó, Nil

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• NISF: Neural Implicit Segmentation Functions
• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Stolte, Skylar E.

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Stone, Maureen

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Story, Lisa

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Stoyanov, Danail

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography
• Realistic endoscopic illumination modeling for NeRF-based data generation
• CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy
• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Strojan, Primož

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

Studier-Fischer, Alexander

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks
• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Styner, Martin

• DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics

Su, Haosheng

• Nonuniformly Spaced Control Points based on Variational Cardiac Image Registration

Su, Jason

• M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Su, Na

• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Su, Ran

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Su, Ruisheng

• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Su, Xiuyun

• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

Su, Yanzhou

• Revisiting Feature Propagation and Aggregation in Polyp Segmentation

Suderman, Jonathan

• ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment

Sugano, Nobuhiko

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Sultan, Rafi Ibn

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Summers, Ronald M.

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Sun, Anlan

• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Sun, Changming

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Sun, Deqing

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Sun, Fan

• Boundary Difference Over Union Loss For Medical Image Segmentation

Sun, Haiyue

• Debiasing Medical Visual Question Answering via Counterfactual Training

Sun, Huaiqiang

• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction

Sun, Jian

• Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty

Sun, Jiayuan

• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Sun, Jinghan

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Sun, Jingyi

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Sun, Kaicong

• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images
• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Sun, Mengxue

• Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images

Sun, Mingyang

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Sun, Peng

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Sun, Rui

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation

Sun, Shanhui

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Sun, Shanlin

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Sun, Susu

• Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Sun, Weibing

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Sun, Weijun

• Prompt-based Grouping Transformer for Nucleus Detection and Classification

Sun, Xiaoyan

• Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping
• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Sun, Xudong

• Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set

Sun, Yihua

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information
• Retinal Thickness Prediction from Multi-modal Fundus Photography

Sun, Yiqun

• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

Sun, Yongheng

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Sun, Yue

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning

Sun, Yuhang

• Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation

Sun, Zhiyi

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Sun, Zhiyong

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

Suri, Ashish

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

Suter, David

• SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Suvon, Mohammod N. I.

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Suzuki, Kenji

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Suzuki, Masahito

• Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia

Swartman, Benedict

• Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images

Swift, Andrew J.

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Syeda, Ayesha

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Syeda-Mahmood, Tanveer

• HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

Szeto, Justin

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

Sznitman, Raphael

• Localized Questions in Medical Visual Question Answering
• Geometric Ultrasound Localization Microscopy
• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Sühling, Michael

• Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps

Taha, Ahmed

• M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Tajer, Ali

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Takamizawa, Yasuyuki

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Takao, Masaki

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Takatsume, Yoshifumi

• High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Talbot, Hugues

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Tam, Roger

• Whole-Heart Reconstruction with Explicit Topology Integrated Learning

Tamersoy, Birgi

• Automated CT Lung Cancer Screening Workflow using 3D Camera
• Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera

Tan, Chaowei

• DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Tan, Jeremy

• Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

Tan, Jing Wei

• Histopathology Image Classification using Deep Manifold Contrastive Learning

Tan, Kaiyuan

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Tan, Shi

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Tan, Shuangyi

• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Tan, Tao

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Tan, Yuwen

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Tan, Zuopeng

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Tang, Cheng

• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation

Tang, Hao

• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Tang, Haoteng

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Tang, Keming

• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning

Tang, Longxiang

• Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher

Tang, Qian

• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation

Tang, Xiang

• Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis

Tang, Xiaoying

• Whole-Heart Reconstruction with Explicit Topology Integrated Learning
• Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation

Tang, Yucheng

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images
• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Tang, Yuxing

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Tang, Zhenyu

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping

Tannast, Moritz

• CT-guided, Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image

Tao, Dacheng

• DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Tarapov, Ivan

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Tardós, Juan D.

• LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

Tarquino, Jonathan

• A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types

Tascon-Morales, Sergio

• Localized Questions in Medical Visual Question Answering

Tashayyod, Davood

• Skin Lesion Correspondence Localization in Total Body Photography

Tassew, Tewodros

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Taubmann, Oliver

• Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps

Taucher, Jan

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network

Tavakkoli, Alireza

• Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Taylor IV, Hoyt Patrick

• Dynamic Functional Connectome Harmonics

Taylor, Russell H.

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Teixeira, Brian

• Automated CT Lung Cancer Screening Workflow using 3D Camera

Teo, James T.

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Teuwen, Jonas

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism

Tham, Yih Chung

• Category-independent Visual Explanation for Medical Deep Network Understanding

Thamm, Florian

• Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Thawakar, Omkar

• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Theileis, Anton

• LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network

Theis, Fabian J.

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Thibeault, Sylvain

• Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields

Thieringer, Florian M.

• Point Cloud Diffusion Models for Automatic Implant Generation

Thies, Mareike

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Thiran, Jean-Philippe

• AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

Thng, Choon Hua

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Thomas, Sarina

• Shape-based pose estimation for automatic standard views of the knee

Thompson, Elinor

• A coupled-mechanisms modelling framework for neurodegeneration

Thompson, Paul M.

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Thorn, Stephanie

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Thwaites, Louise

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Tian, Chunna

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Tian, Feng

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Tian, Lin

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Inverse Consistency by Construction for Multistep Deep Registration

Tian, Lixia

• CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions

Tian, Mei

• Uncertainty Inspired Autism Spectrum Disorder Screening

Tian, Yapeng

• Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI

Tian, Yi

• Uncertainty Inspired Autism Spectrum Disorder Screening

Ting, Chee-Ming

• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

Ting, Fung Fung

• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

Tizabi, Minu

• Deployment of Image Analysis Algorithms under Prevalence Shifts

Tizabi, Minu Dietlinde

• Self-distillation for surgical action recognition

To, Minh-Son

• Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

To, Xuan Vinh

• Style-based Manifold for Weakly-supervised Disease Characteristic Discovery

Tokuhisa, Atsushi

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Toloubidokhti, Maryam

• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Tomi-Tricot, Raphael

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Tomiyama, Noriyuki

• Visual Grounding of Whole Radiology Reports for 3D CT Images

Tonetti, Maurizio

• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Tong, Raymond Kai-yu

• Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization
• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Tong, Ruofeng

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Torio, Erickson

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Towey, Dave

• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

Tran, Anh

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Tran, Manuel

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Tran, Thuy Nuong

• Self-distillation for surgical action recognition

Tregidgo, Henry F. J.

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Trinh, Loc

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Tripathi, Prasun C.

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Trotouin, Théo

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

Truong Vu, Yen Nhi

• M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Truong, Thi Phuong Thao

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Trusty, Ty

• Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps

Trzciński, Tomasz

• TabAttention: Learning Attention Conditionally on Tabular Data

Tsang, Michael Y.

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography

Tsang, Teresa S. M.

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Tschuchnig, Maximilian

• MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

Tu, Liyun

• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI

Tu, Puxun

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

Tudosiu, Petru-Daniel

• Unsupervised 3D out-of-distribution detection with latent diffusion models
• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
• Geometry-invariant abnormality detection

Turgut, Özgün

• Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

Turja, Md Asadullah

• DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics

Tursynbek, Nurislam

• Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features

Ucar, Felix Anton

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Uemura, Keisuke

• MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Ulrich, Constantin

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Umeda, Yuhei

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Ummadi, Vinay

• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

Unberath, Mathias

• TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation
• Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

Uus, Alena

• An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Vakalopoulou, Maria

• Structured State Space Models for Multiple Instance Learning in Digital Pathology
• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning
• Certification of Deep Learning Models for Medical Image Segmentation

Vakanski, Aleksandar

• Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

Valenzuela, Brayan

• Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies

Van Veen, Barry D.

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

Vardazaryan, Armine

• Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Varma, Sonal

• Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer

Vasconcelos, Francisco

• Realistic endoscopic illumination modeling for NeRF-based data generation
• CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy

Vaseli, Hooman

• ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

Vasung, Lana

• Robust estimation of the microstructure of the early developing brain using deep learning

Vedula, S. Swaroop

• GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
• Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

Velichko, Yury

• Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Velikova, Yordanka

• LOTUS: Learning to Optimize Task-based US representations

Venkataraman, Archana

• DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data

Vercauteren, Tom

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
• Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Verde, Juan

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
• Intraoperative CT augmentation for needle-based liver interventions

Verjans, Johan W.

• Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
• Multi-Head Multi-Loss Model Calibration

Vialard, Francois-Xavier

• Inverse Consistency by Construction for Multistep Deep Registration

Villegas de Flores, Marcia

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Viriyasaranon, Thanaporn

• Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model

Vital Consortium

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Vizitiu, Anamaria

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Volle, Kyle

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Volovik, Ilya

• PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Vorontsov, Eugene

• M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

Vrtovec, Tomaž

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

Wachinger, Christian

• Vertex Correspondence in Cortical Surface Reconstruction

Wada, Mutsuyo

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Wada, Yuichiro

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Wagner, Fabian

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

Wagner, Felix Mathias

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Wagner, Sophia J.

• B-Cos Aligned Transformers Learn Human-Interpretable Features

Wagstyl, Konrad

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Wald, Tassilo

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
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Walker, Peter

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Walsh, Simon

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

Wan, Jing

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Wan, Liang

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Wan, Michael

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Wan, Renjie

• Gene-induced Multimodal Pre-training for Image-omic Classification

Wan, Xiang

• Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection
• Prompt-based Grouping Transformer for Nucleus Detection and Classification
• Diffusion-based Data Augmentation for Nuclei Image Segmentation
• Automatic Bleeding Risk Rating System of Gastric Varices
• ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation
• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Wang, Aimin

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Wang, Alan Q.

• Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing

Wang, An

• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

Wang, Ao

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation

Wang, Bei-Li

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Wang, Bo

• Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement

Wang, Changmiao

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Wang, Chen

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Wang, Cheng

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Wang, Chenhui

• BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

Wang, Chong

• Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen

Wang, Da

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Wang, Dadong

• Detection of basal cell carcinoma in whole slide images

Wang, Danny J.

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention

Wang, Dayang

• Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

Wang, Dequan

• Text-guided Foundation Model Adaptation for Pathological Image Classification

Wang, Dong

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection
• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Wang, Fakai

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Wang, Fan

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning
• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Wang, Fang

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Wang, Fei

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Wang, Fengjie

• SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks

Wang, Fu

• Self-adaptive Adversarial Training for Robust Medical Segmentation

Wang, Gaoang

• Debiasing Medical Visual Question Answering via Counterfactual Training

Wang, Ge

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
• Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction

Wang, Guanghui

• Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI

Wang, Guotai

• UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency

Wang, Haiqiao

• ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

Wang, Haiying

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models

Wang, Hao

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Wang, Haonan

• DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

Wang, Haotian

• Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

Wang, Hong

• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

Wang, Hongsen

• Debiasing Medical Visual Question Answering via Counterfactual Training

Wang, Hongwei

• Debiasing Medical Visual Question Answering via Counterfactual Training

Wang, Hongyi

• Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Wang, Hongzhi

• HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

Wang, Hu

• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Wang, Huan

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Wang, James Z.

• Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Wang, Jiacheng

• Medical Boundary Diffusion Model for Skin Lesion Segmentation
• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Wang, Jiale

• CT-guided, Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image

Wang, Jian

• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Wang, Jianing

• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Wang, Jiaze

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

Wang, Jiazhen

• Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty

Wang, Jinqiao

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Wang, Jinyuan

• Retinal Thickness Prediction from Multi-modal Fundus Photography

Wang, Jueqi

• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model

Wang, Jun

• Multi-Scale Prototypical Transformer for Whole Slide Image Classification

Wang, Junli

• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Wang, Kailing

• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Wang, Ke

• ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Wang, Lehan

• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Wang, Li

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images
• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Wang, Liansheng

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction
• Medical Boundary Diffusion Model for Skin Lesion Segmentation
• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair
• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Wang, Lianxin

• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair

Wang, Lianyu

• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Wang, Lihong

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Wang, Lihui

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

Wang, Lin

• Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

Wang, Linwei

• Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Wang, Liwei

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection
• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Wang, Lyuyang

• Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images

Wang, Manning

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

Wang, Meng

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Category-independent Visual Explanation for Medical Deep Network Understanding

Wang, Miaomiao

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Wang, Minghui

• CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification

Wang, Mingyu

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data
• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis

Wang, Nizhuan

• Multi-View Vertebra Localization and Identification from CT Images
• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Wang, Peng

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation
• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Wang, Puyang

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Wang, Qian

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images
• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Wang, Qianqian

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Wang, Qiong

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Wang, Qizheng

• Diversity-preserving Chest Radiographs Generation from Reports in One Stage

Wang, Qun

• ACT-Net: Anchor-context Action Detection in Surgery Videos

Wang, Rongguang

• DeDA: Deep Directed Accumulator

Wang, Rui

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

Wang, Ruixuan

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Wang, Ruoyang

• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach

Wang, Shaobin

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information

Wang, Sheng

• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification
• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Wang, Shidong

• Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

Wang, Shu

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Wang, Shuai

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia
• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold

Wang, Shujun

• HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Wang, Su

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Wang, Tao

• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning
• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction

Wang, Tianyi

• Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis

Wang, Tianyu

• HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis

Wang, Tony D.

• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation

Wang, Wei

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Wang, Xi

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

Wang, Xiangfeng

• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Wang, Xiaofei

• Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

Wang, Xiaoli

• AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation

Wang, Xiaoqing

• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction

Wang, Xiaosong

• Text-guided Foundation Model Adaptation for Pathological Image Classification

Wang, Xiaoying

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Wang, Xierui

• TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification

Wang, Xin

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Wang, Xingguang

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Wang, Xinyi

• UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network

Wang, Ya

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning

Wang, Ya Xing

• Retinal Thickness Prediction from Multi-modal Fundus Photography

Wang, Yalin

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Wang, Yan

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• Gene-induced Multimodal Pre-training for Image-omic Classification
• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation
• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
• Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation
• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation
• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Wang, Yanfeng

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Wang, Yangdi

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data

Wang, Yanqing

• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation

Wang, Yanyang

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction

Wang, Yaohong

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Wang, Yi

• SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI
• ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

Wang, Yihan

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Wang, Yin

• GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis

Wang, Yining

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Wang, Yiqing

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Wang, Yixin

• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

Wang, Yong

• Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention

Wang, Yu

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints
• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Wang, Yuehao

• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Wang, Yuhan

• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Wang, Yusi

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Wang, Zehua

• FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

Wang, Zhangyang

• How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Wang, Zhao

• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Wang, Zhaohui

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Wang, Zhenyuan

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Wang, Zichen

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Wang, Zifu

• Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Wang, Zirui

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
• A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation

Wang, Zixuan

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

Wasielica-Poslednik, Joana

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

Watanabe, Hirokazu

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Wattenhofer, Roger

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Wei, Bingzheng

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Wei, Dong

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Wei, Donglai

• Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Wei, Jia

• SFusion: Self-attention based N-to-One Multimodal Fusion Block

Wei, Jun

• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Wei, Leihao

• CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows

Wei, Leyi

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Wei, Meng

• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

Wei, Pengxue

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Wei, Qingyue

• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Wei, Xiaozheng

• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Wei, Yaonai

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Wei, Yining

• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network

Wei, Zihao

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Wei, Ziquan

• A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images

Weigert, Martin

• Self-supervised dense representation learning for live-cell microscopy with time arrow prediction

Wein, Wolfgang

• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration

Weinberg, Annelie

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

Weinheimer, Oliver

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT
• cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Weinsaft, Jonathan W.

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Weller, Adrian

• Physics-based Decoding Improves Magnetic Resonance Fingerprinting

Wells III, William M.

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

Wen, Guangqi

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Wen, Huiying

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Wen, Lu

• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

Wen, Xuyun

• Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis
• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Wen, Ying

• PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer

Wendler, Thomas

• Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Weng, Nina

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

Weng, Weixiang

• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Weng, Ziqiao

• Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

Werring, David

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Weyers, Brent

• FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery

Whitbread, Luke

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Wielpütz, Mark O.

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Wiestler, Benedikt

• Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
• Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Williams, Helena

• Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Williams, Logan Z. J.

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Williams, Michelle C.

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Williams, Simon C.

• A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery

Williams, Steven E.

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Willmann, Jonas

• Do we really need that skip-connection? Understanding its interplay with task complexity

Wilm, Frauke

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Wilms, Matthias

• A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis

Winkler, Mathias

• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

Wodzinski, Marek

• High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers

Wolf, Ivo

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Wolf, Lior

• Reconstructing the Hemodynamic Response Function via a Bimodal Transformer
• Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Wolf, Sebastian

• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Wolleb, Julia

• Point Cloud Diffusion Models for Automatic Implant Generation

Wong, Ivy H. M.

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

Wong, Ken C. L.

• HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

Wong, Terence T. W.

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

Wong, Tien Yin

• Retinal Thickness Prediction from Multi-modal Fundus Photography

Woo, Jonghye

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

Wood, Ruby

• Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies

Woods, Adam J.

• DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

Worring, Marcel

• Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Wright, Paul

• Unsupervised 3D out-of-distribution detection with latent diffusion models

Wright, Susan

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

Wu, Bingzhe

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Wu, Chaoyi

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Wu, Chengdong

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Wu, Chengyi

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Wu, Chonglin

• UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network

Wu, Dan

• AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation

Wu, Dijia

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Wu, Dufan

• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning

Wu, Feng

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation
• Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping

Wu, Fuping

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Wu, Guorong

• Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases
• TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation
• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold
• Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis
• Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation
• Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network
• DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
• Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis
• A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images

Wu, Han

• Multi-View Vertebra Localization and Identification from CT Images

Wu, Jhih-Ciang

• Contrastive Feature Decoupling for Weakly-supervised Disease Detection

Wu, Jian

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Wu, Jieling

• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis

Wu, Jinjian

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Wu, Jinru

• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach

Wu, Kun

• Position-aware masked autoencoder for histopathology WSI representation learning

Wu, Mengqi

• Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Wu, Ming

• Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation
• Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

Wu, Nannan

• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

Wu, Qi

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking

Wu, QuanLin

• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

Wu, Shuang

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Wu, Weiwen

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

Wu, Xi

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

Wu, Xinbao

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Wu, Xueyang

• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images

Wu, Xusheng

• ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Wu, Yanan

• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

Wu, Yangqian

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage

Wu, Yawen

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
• Additional Positive Enables Better Representation Learning for Medical Images

Wu, Ye

• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
• Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments

Wu, Yicheng

• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Wu, Yilei

• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Wu, Yongjian

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Wu, Yunan

• Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

Wu, Zhengwang

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization

Wu, Zhichao

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Wu, Zhonghai

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Wu, Zhonghua

• CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

Xi, Duo

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Xi, Nan

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Xi, Ruiling

• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

Xi, Yan

• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

Xia, Cong

• JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

Xia, James J.

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Xia, Yingda

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Xia, Yong

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
• Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation
• Transformer-based Annotation Bias-aware Medical Image Segmentation
• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation
• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer
• Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
• Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking
• Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation

Xian, Min

• Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

Xiang, Xiang

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Xiao, Han

• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Xiao, Haonan

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Xiao, Ke

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

Xiao, Li

• Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping

Xiao, Xiaojiao

• Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI

Xiao, Yiming

• Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
• FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

Xiao, Yu

• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Xie, Baihong

• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Xie, Chun

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

Xie, Cihang

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Xie, Fangfang

• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Xie, Fengying

• Position-aware masked autoencoder for histopathology WSI representation learning
• ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Xie, Huidong

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Xie, Jiaming

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

Xie, Jinheng

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Xie, Keliang

• Chest X-ray Image Classification: A Causal Perspective

Xie, Luyuan

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Xie, Meng

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

Xie, Mingye

• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Xie, Wangduo

• Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

Xie, Weidi

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Xie, Weijie

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Xie, Xiaohui

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Xie, Xingran

• Gene-induced Multimodal Pre-training for Image-omic Classification

Xie, Yaoqin

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Xie, Yushan

• Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation

Xie, Yutong

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
• Transformer-based Annotation Bias-aware Medical Image Segmentation
• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking
• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Xin, Tong

• Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

Xing, Fangxu

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Xing, Fuyong

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Xing, Lei

• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Xing, Xiaodan

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

Xing, Xiaohan

• Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels

Xiong, Honglin

• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening

Xiong, Huimin

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Xiong, Wei

• PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network

Xiong, Xiaosong

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model

Xiong, Yifeng

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation

Xiong, Zhiwei

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation
• Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation

Xu, Chenchu

• Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation
• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Xu, Chi

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

Xu, Cunbao

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Xu, Daguang

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Xu, Fan

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Xu, Hao

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Xu, Hong

• Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions

Xu, Hongyan

• Detection of basal cell carcinoma in whole slide images

Xu, Hui

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Xu, Jialang

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

Xu, Jiangchang

• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network

Xu, Jing

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Xu, Kaiwen

• Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

Xu, Kangrong

• Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior

Xu, Le

• CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions

Xu, Linchuan

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Xu, Lu

• Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

Xu, Mai

• Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis

Xu, Mengqiu

• Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

Xu, Mengya

• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

Xu, Minfeng

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Xu, Pengxiao

• Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation

Xu, Qinwei

• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Xu, Songnan

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention

Xu, Xiang

• PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images

Xu, Xiangmin

• Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis

Xu, Xiaowei

• SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
• Additional Positive Enables Better Representation Learning for Medical Images

Xu, Xiaoyin

• TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification
• Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification

Xu, Xiayu

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization

Xu, Xinxing

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory
• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
• Category-independent Visual Explanation for Medical Deep Network Understanding

Xu, Xuanang

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Xu, Yan

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Xu, Yangyang

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Xu, Yanwu

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Xu, Yanyu

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory

Xu, Yi

• SLPD: Slide-level Prototypical Distillation for WSIs

Xu, Yongchao

• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Xu, Zhe

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization
• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Xu, Zhengyang

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Xu, Zhoubing

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Xu, Zihang

• ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation

Xu, Zikang

• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

Xu, Ziyue

• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation
• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Xuan, Ping

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Xue, Chaoran

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Xue, Cheng

• Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training

Xue, Chenyu

• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Xue, Tengfei

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Xue, Wufeng

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning
• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
• Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Xue, Xudong

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Xue, Yitian

• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold

Xue, Yuan

• Synthetic Augmentation with Large-scale Unconditional Pre-training

Xue, Zeyue

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Xue, Zhong

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees

Yacoub, Sophie

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

Yadav, Anil

• CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows

Yalcinkaya, Dilek M.

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Yam, Yeung

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Yamazaki, Kimihiro

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

Yamlahi, Amine

• Self-distillation for surgical action recognition

Yan, Binyu

• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation
• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Yan, Jiangpeng

• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

Yan, Jing

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping

Yan, Ke

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Yan, Lirong

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention

Yan, Pingkun

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
• Soft-tissue Driven Craniomaxillofacial Surgical Planning

Yan, Ruixin

• Diversity-preserving Chest Radiographs Generation from Reports in One Stage

Yan, Siyuan

• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Yan, Xiangyi

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

Yan, Zengqiang

• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
• ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Yan, Zhongnuo

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Yan, Zihan

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Yan, Zipei

• VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia

Yang, Bing

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images

Yang, Chen

• Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation
• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Yang, Cherine

• Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills

Yang, Defu

• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold
• Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network

Yang, Dong

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Yang, Fan

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Yang, Gang

• Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition

Yang, Ge

• A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images

Yang, Guang

• You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images
• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment
• CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?

Yang, Guanyu

• Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
• Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training

Yang, Haichun

• Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

Yang, Huilin

• Whole-Heart Reconstruction with Explicit Topology Integrated Learning

Yang, Jian

• Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning

Yang, Jiancheng

• Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Yang, Jie

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage
• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Yang, Jiewen

• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

Yang, Jing

• Medical Boundary Diffusion Model for Skin Lesion Segmentation

Yang, Jinzhu

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis
• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Yang, Junjie

• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition

Yang, Junqing

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

Yang, Liang

• PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network

Yang, Lin

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision
• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Yang, Meng

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Yang, Ming

• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Yang, Mingming

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

Yang, Mingxian

• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Yang, Peng

• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Yang, Qi

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation
• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Yang, Qiushi

• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Yang, Wei

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Yang, Wenming

• Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI
• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Yang, Wentao

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Yang, Xiaokang

• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Yang, Xikai

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

Yang, Xin

• Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information
• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation
• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
• GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
• COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities

Yang, Xinnian

• CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography

Yang, Xinquan

• TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction

Yang, Xinyi

• Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Yang, Xiyu

• CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Yang, Xuan

• Nonuniformly Spaced Control Points based on Variational Cardiac Image Registration
• Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior

Yang, Yan

• Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty

Yang, Yang

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Yang, Yijun

• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Yang, Yizhe

• Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty

Yang, Yumei

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Yang, Yuncheng

• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

Yang, Yuqiao

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

Yang, Zhiwei

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

Yang, Zhiwen

• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Yang, Ziqi

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Yang, Ziyuan

• PET Image Denoising with Score-Based Diffusion Probabilistic Models

Yao, Bingjian

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction

Yao, Heming

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Yao, Jiangchao

• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Yao, Jianhua

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis
• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Yao, Jiawen

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Yao, Qingsong

• UOD: Universal One-shot Detection of Anatomical Landmarks
• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

Yao, Xing

• COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

Yap, Pew-Thian

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer
• SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI
• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
• Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments
• Dynamic Functional Connectome Harmonics

Ye, Chuyang

• AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation

Ye, Han-Jia

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Ye, Hongfei

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

Ye, Huihui

• Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization

Ye, Jiarong

• Synthetic Augmentation with Large-scale Unconditional Pre-training

Ye, Jin

• Revisiting Feature Propagation and Aggregation in Polyp Segmentation
• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
• Artifact Restoration in Histology Images with Diffusion Probabilistic Models

Ye, Kai

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Ye, Li

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Ye, Shiyang

• Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models

Ye, Xianghua

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Ye, Xiaojing

• Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction

Ye, Yiwen

• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
• Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation

Ye, Yongyu

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Ye, Yubo

• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Ye, Zhanhao

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Ye, Ziyin

• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis

Yendiki, Anastasia

• Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

Yeung, Leo K. T.

• Surgical Video Captioning with Mutual-Modal Concept Alignment

Yi, Huahui

• Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models

Yibulayimu, Sutuke

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Yin, Dan

• Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation

Yin, Kaige

• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection

Yin, Lei

• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation

Yin, Xiaoli

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Yin, Yuejia

• Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation

Yin, Zhaozheng

• Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning
• Diffusion Transformer U-Net for Medical Image Segmentation

Ying, Hanning

• TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification

Ying, Haochao

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Ying, Qilong

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Ying, Rex

• Community-Aware Transformer for Autism Prediction in fMRI Connectome

Yip, Hon-Chi

• Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure

Yoon, Siyeop

• Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization

Yoshida, Yukihiro

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

Yoshii, Yuichi

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

Yoshimura, Hiroki

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing

You, Chenyu

• Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement
• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation
• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
• Fast Reconstruction for Deep Learning PET Head Motion Correction
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

You, Kihyun

• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

You, Xin

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage

Young, Alistair

• ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency

Young, Jeff

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

Youssef, Khalid

• Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets

Yu, Feiyang

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Yu, Haojun

• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

Yu, Hengyong

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction

Yu, Huan

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Yu, Hui

• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning
• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction

Yu, Kaiwei

• PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network

Yu, Ke

• Distilling BlackBox to Interpretable models for Efficient Transfer Learning

Yu, Lequan

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction
• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
• HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair
• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Yu, Li

• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
• ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Yu, Lifeng

• Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT

Yu, Qian

• Vision Transformer based Multi-Class Lesion Detection in IVOCT
• 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks

Yu, Qinji

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Yu, Rongshan

• Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction

Yu, Sigang

• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach

Yu, Taihui

• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

Yu, Weihao

• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Yu, Xiaosheng

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Yu, Xin

• Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation

Yu, Xinyi

• Diffusion-based Data Augmentation for Nuclei Image Segmentation

Yu, Yi

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage

Yu, Zhen

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning
• EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Yu, Zhimiao

• SLPD: Slide-level Prototypical Distillation for WSIs

Yuan, Chenglang

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data

Yuan, Haolin

• EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Yuan, Junsong

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Yuan, Mingze

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Yuan, Songtao

• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Yuan, Wu

• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

Yuan, Xinrui

• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development

Yuan, Xuedong

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions

Yuan, Xueguang

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Yuan, Ye

• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

Yuan, Yixuan

• Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation
• H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment
• Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Yuan, Yuchen

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

Yue, Hao

• TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope

Yue, Jiaxin

• Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography

Yue, Xiaodong

• Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images

Yuille, Alan L.

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Yun, Boxiang

• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation

Yüce, Anil

• Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology

Zaharchuk, Greg

• Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
• LSOR: Longitudinally-Consistent Self-Organized Representation Learning

Zaiane, Osmar R.

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis
• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Zaiss, Moritz

• Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Zayats, Mykhaylo

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Zeng, Biqing

• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Zeng, Bolun

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss

Zeng, Dewen

• Additional Positive Enables Better Representation Learning for Medical Images

Zeng, Dong

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Zeng, Jie

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Zeng, Minyan

• Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning

Zeng, Pinxian

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation

Zeng, Tianyi

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Zeng, Tieyong

• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Zeng, Xinyi

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation

Zeng, Zi

• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

Zenk, Maximilian

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

Zettinig, Oliver

• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration

Zha, Ruyi

• EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos

Zhai, Peng

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Zhan, Chenlu

• Debiasing Medical Visual Question Answering via Counterfactual Training

Zhan, De-Chuan

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

Zhan, Liang

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Zhan, Yiqiang

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Zhang, Ang

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Zhang, Baochang

• Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

Zhang, Chaoyi

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Zhang, Chen

• Chest X-ray Image Classification: A Causal Perspective

Zhang, Chi

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

Zhang, Dan

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization

Zhang, Daoqiang

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
• Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness
• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition
• Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis
• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation
• JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition
• Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen

Zhang, Defu

• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair

Zhang, Edward

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Zhang, Fan

• TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation

Zhang, Haiyang

• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark

Zhang, Han

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Zhang, Hang

• DeDA: Deep Directed Accumulator

Zhang, Hanrong

• Debiasing Medical Visual Question Answering via Counterfactual Training

Zhang, Haofeng

• Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

Zhang, Haolin

• An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark

Zhang, Haoyue

• Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides

Zhang, Helen

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Zhang, Hengxu

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

Zhang, Hengyu

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Zhang, Heye

• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

Zhang, Hui

• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Zhang, Jiadong

• Multi-View Vertebra Localization and Identification from CT Images

Zhang, Jiajin

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

Zhang, Jiamiao

• Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI

Zhang, Jianfeng

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Zhang, Jianjia

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
• Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis
• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

Zhang, Jianpeng

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation
• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking
• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Zhang, Jianwei

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention
• Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimer's Disease

Zhang, Jiaqi

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

Zhang, Jiazhen

• Fast Reconstruction for Deep Learning PET Head Motion Correction

Zhang, Jicong

• Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

Zhang, Jin

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Zhang, Jingwei

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Zhang, Jinwei

• DeDA: Deep Directed Accumulator

Zhang, Jinyu

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Zhang, Jiong

• Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention
• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization
• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Zhang, Jun

• Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

Zhang, Junping

• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

Zhang, Kai

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

Zhang, Kevin S.

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Zhang, Li

• Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation
• Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Zhang, Lichi

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis
• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images
• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Zhang, Lihe

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

Zhang, Lihua

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Zhang, Ling

• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Zhang, Lintao

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

Zhang, Lu

• Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN
• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study

Zhang, Miao

• Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration

Zhang, Min

• TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification
• Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification

Zhang, Minghui

• Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage

Zhang, Minjianan

• Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics

Zhang, Minqing

• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

Zhang, Peixuan

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Zhang, Pengshuai

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Zhang, Qianni

• Joint Dense-Point Representation for Contour-Aware Graph Segmentation

Zhang, Qing

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

Zhang, Qingchao

• Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction

Zhang, Qixiang

• Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

Zhang, Rui

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Zhang, Ruimao

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection

Zhang, Ruipeng

• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Zhang, Shanghang

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Zhang, Shaochong

• UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN

Zhang, Shaoteng

• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation

Zhang, Shaoting

• UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
• Text-guided Foundation Model Adaptation for Pathological Image Classification
• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency
• Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Zhang, Shaoyan

• Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study

Zhang, Shichuan

• Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency
• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Zhang, Shu

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach
• Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Zhang, Sihui

• Uncertainty Inspired Autism Spectrum Disorder Screening

Zhang, Siwei

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

Zhang, Songyao

• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Zhang, Suwei

• PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer

Zhang, Tan

• Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network

Zhang, Tianyu

• Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Zhang, Tianzhu

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation

Zhang, Tong

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Zhang, Tuo

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Zhang, Weichuan

• A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images

Zhang, Weijing

• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Zhang, Weitong

• Robust Segmentation via Topology Violation Detection and Feature Synthesis
• MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
• M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

Zhang, Wenhui

• Deep probability contour framework for tumour segmentation and dose painting in PET images

Zhang, Wentao

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Zhang, Xiao

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases
• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model
• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Zhang, Xiaocai

• Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis

Zhang, Xiaofan

• Efficient Subclass Segmentation in Medical Images

Zhang, Xiaolei

• Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning

Zhang, Xiaoman

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Zhang, Xin

• SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN
• Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

Zhang, Xinyuan

• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture

Zhang, Xizhe

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Zhang, Xuanye

• Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection

Zhang, Xukun

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Zhang, Ya

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
• Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
• GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

Zhang, Yan

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

Zhang, Yang

• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

Zhang, Yanghao

• Self-adaptive Adversarial Training for Robust Medical Segmentation

Zhang, Yanping

• Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation

Zhang, Yaoduo

• Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

Zhang, Yejia

• SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings

Zhang, Yi

• PET Image Denoising with Score-Based Diffusion Probabilistic Models
• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning
• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction
• ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising

Zhang, Yilan

• ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Zhang, Ying

• Uncertainty Inspired Autism Spectrum Disorder Screening
• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Zhang, Yinghao

• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Zhang, Yinglin

• Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

Zhang, Yixiao

• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Zhang, Yong

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Zhang, Yu

• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images
• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

Zhang, Yuan

• Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

Zhang, Yuanji

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Zhang, Yuanwang

• Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner

Zhang, Yuchen

• Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion

Zhang, Yudong

• A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images

Zhang, Yue

• ConTrack: Contextual Transformer for Device Tracking in X-ray

Zhang, Yueyi

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Zhang, Yuhan

• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation

Zhang, Yulun

• Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher

Zhang, Yunkun

• Text-guided Foundation Model Adaptation for Pathological Image Classification

Zhang, Yupei

• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Zhang, Zetian

• Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Zhang, Zhao

• Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Zhang, Zheng

• Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
• Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning

Zhang, Zhenxi

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Zhang, Zhenyu

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping

Zhang, Zheyu

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

Zhang, Zhixing

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

Zhang, Zhuya

• Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis

Zhang, Ziji

• Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Zhang, Zixun

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection

Zhao, Can

• DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

Zhao, Chunpeng

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Zhao, Dan

• Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Zhao, Di

• Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

Zhao, Fenqiang

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization

Zhao, He

• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos
• Cross-adversarial local distribution regularization for semi-supervised medical image segmentation

Zhao, Jianchun

• Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition

Zhao, Jianfeng

• Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models

Zhao, Junjie

• SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI

Zhao, Junting

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Zhao, Liang

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

Zhao, Lin

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet

Zhao, Minfan

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Zhao, Peiang

• DiffULD: Diffusive Universal Lesion Detection

Zhao, Pengcheng

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Zhao, Pengfei

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks

Zhao, Qingyu

• LSOR: Longitudinally-Consistent Self-Organized Representation Learning
• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

Zhao, Rongchang

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Zhao, Shang

• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

Zhao, Shishuang

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

Zhao, Shuang

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Zhao, Tianli

• Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication

Zhao, Wei

• Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

Zhao, Weiqin

• HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Zhao, Xiangyu

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement
• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Zhao, Xiao

• Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT

Zhao, Xinkai

• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

Zhao, Yitian

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization
• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Zhao, Yiyuan

• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

Zhao, Yu

• IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Zhao, Zhanpeng

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Zhao, Zhihao

• Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition

Zhao, Ziheng

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Zhao, Ziwei

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
• Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

Zhao, Zixu

• Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Zheng, Ce

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

Zheng, Chuansheng

• ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Zheng, Chuhang

• Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition

Zheng, Guoyan

• Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment
• FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation
• CT-guided, Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image

Zheng, Hao

• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

Zheng, Jialan

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Zheng, Jian

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Zheng, Kaiyi

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Zheng, Song

• A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation

Zheng, Sunyi

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Zheng, Tianshu

• AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation

Zheng, Wei-Shi

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Zheng, Xiaoqing

• Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Zheng, Yalin

• Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Zheng, Yanyan

• Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

Zheng, Yefeng

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

Zheng, Ying-Qiu

• A Transfer Learning Approach to Localise a Deep Brain Stimulation Target

Zheng, Yingqi

• Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning

Zheng, Yongping

• UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network

Zheng, Yuanjie

• Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images

Zheng, Yuanyi

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss

Zheng, Yushan

• Position-aware masked autoencoder for histopathology WSI representation learning

Zheng, Ziyang

• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

Zhong, Aoxiao

• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning

Zhong, Lanfeng

• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions

Zhong, Shenjun

• Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Zhong, Tao

• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images

Zhong, Tianyang

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet
• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

Zhong, Yi

• Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

Zhong, Yuan

• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

Zhong, Yuming

• SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI

Zhong, Zhusi

• Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model

Zhou, Bo

• Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Zhou, Chunhua

• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation

Zhou, Fangxu

• DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Zhou, Feng

• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI

Zhou, Guangwei

• FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation

Zhou, Han

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Zhou, Heng

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Zhou, Houliang

• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

Zhou, Huifang

• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network

Zhou, Jian

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Zhou, Jianlong

• SFusion: Self-attention based N-to-One Multimodal Fusion Block

Zhou, Jiliu

• TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Zhou, Jingren

• SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
• Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Zhou, Jinhua

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Zhou, Joey Tianyi

• TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Zhou, Juan Helen

• Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Zhou, Kang

• Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization

Zhou, Ke

• MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images

Zhou, Longxi

• Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model

Zhou, Luping

• Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Zhou, Meng

• Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization

Zhou, Menghan

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory

Zhou, Minghao

• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

Zhou, Mo

• Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision

Zhou, Mu

• Text-guided Foundation Model Adaptation for Pathological Image Classification
• Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction

Zhou, Qian

• Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention

Zhou, Qichao

• Medical Boundary Diffusion Model for Skin Lesion Segmentation

Zhou, Qin

• Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment
• FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation

Zhou, Rong

• Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease using Multimodal Imaging Genetics

Zhou, S. Kevin

• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
• UOD: Universal One-shot Detection of Anatomical Landmarks
• Label-Free Nuclei Segmentation Using Intra-Image Self Similarity
• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
• DiffULD: Diffusive Universal Lesion Detection

Zhou, Shijia

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

Zhou, Shuo

• Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Zhou, Teng

• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

Zhou, Wenqi

• HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images

Zhou, Wenxue

• An Unsupervised Multispectral Image Registration Network for Skin Diseases

Zhou, Wu

• Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT

Zhou, Xiang

• HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

Zhou, Xinrui

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
• Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Zhou, Xiuzhuang

• Diversity-preserving Chest Radiographs Generation from Reports in One Stage

Zhou, Yan

• Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification

Zhou, Yan-Jie

• A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Zhou, Yang

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
• Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition
• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Zhou, Yanjie

• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI

Zhou, Yihao

• UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network

Zhou, Yincong

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

Zhou, You

• Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition

Zhou, Yufei

• Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer

Zhou, Yuyin

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Zhou, Zhixuan

• Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network

Zhou, Ziyu

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Zhou, Zongwei

• MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Zhu, Chenglu

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

Zhu, Dajiang

• Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
• Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN
• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
• Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization

Zhu, Dongmei

• MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Zhu, Dongxiao

• FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images

Zhu, Gang

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network
• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

Zhu, Hao

• HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis

Zhu, Heqin

• UOD: Universal One-shot Detection of Anatomical Landmarks

Zhu, Jiang

• Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders

Zhu, Jianping

• GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis

Zhu, Jianwei

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

Zhu, Jiayi

• Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images

Zhu, Junchao

• An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark

Zhu, Lei

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Zhu, Lingting

• Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Zhu, Min

• SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks

Zhu, Qi

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
• Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition
• Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis

Zhu, Qikui

• DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation

Zhu, Qingqing

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Zhu, Shaotong

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Zhu, Wentao

• Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold

Zhu, Xiaofeng

• Co-assistant Networks for Label Correction

Zhu, Xinrong

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Zhu, Yazhou

• Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

Zhu, Yuanzhi

• Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement

Zhu, Yuanzhuo

• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Zhu, Zhonghang

• Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair

Zhu, Zhuoting

• Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning

Zhu, Ziqi

• H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Zhuang, Louise

• Differentiable Beamforming for Ultrasound Autofocusing

Zhuang, Xiahai

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

Zhuang, Yan

• From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation

Zhuang, Zixu

• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees
• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

Zhuk, Sergiy

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Zhuo, Jiachen

• Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Zimmer, Veronika A.

• Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
• 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Zimmerman, Emily

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Zinkernagel, Martin

• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

Zięba, Maciej

• CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation

Zlota, Samuel

• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

Zou, Changjiang

• Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information

Zou, Hua

• Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention

Zou, Ke

• Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
• Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Zou, Qingsong

• Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Zou, Ruhai

• A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images

Zou, Yuxin

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Zuo, Yingli

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors

de Dumast, Priscille

• Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction

de la Iglesia, Janis V.

• An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

project, MELD

• Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

van Sonsbeek, Tom

• Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

van Walsum, Theo

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

van Zwam, Wim

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

van de Graaf, Victor A.

• A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty

van der Lugt, Aad

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

van der Sluijs, Matthijs

• AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

van der Valk, Viktor

• Joint optimization of a β-VAE for ECG task-specific feature extraction

Öttl, Mathias

• Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

Özsoy, Ege

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
• Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
• LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms