List of Authors

Abi-Nader, Clément

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Abolmaesumi, Purang

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound
• EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction
• Class Impression for Data-free Incremental Learning

Adalsteinsson, Elfar

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Adams, Jadie

• From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach

Adeli, Ehsan

• Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
• A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Adiga Vasudeva, Sukesh

• Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

Afacan, Onur

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Agarwal, Shruti

• RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Ahn, Byungduk

• Morphology-Aware Interactive Keypoint Estimation

Aich, Abhishek

• Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Aichert, Andre

• End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Ajilore, Olusola

• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Akashi, Toshiaki

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Al Majzoub, Roba

• TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Al'Aref, Subhi

• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Al-masni, Mohammed A.

• Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Alam, Wahidul

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Albarqouni, Shadi

• What can we learn about a generated image corrupting its latent representation?
• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
• Anomaly-aware multiple instance learning for rare anemia disorder classification

Albizu, Alejandro

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Albrecht, Thomas

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Alexander, Daniel C.

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI
• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Ali, Sharib

• TGANet: Text-guided attention for improved polyp segmentation

Aliasi, Moska

• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Aljuhani, Asmaa

• Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Alkhunaizi, Naif

• Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Almalik, Faris

• Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Altmann, Andre

• Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Amador, Kimberly

• Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Ambellan, Felix

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Amiranashvili, Tamaz

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Amlani, Ashik

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Amodeo, Carlo

• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

An, Dongsheng

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

An, Jiwoong

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

An, Lin

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

An, Xing

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Anand, D. Vijay

• Modelling Cycles in Brain Networks with the Hodge Laplacian

Anand, Kanwaljeet J. S.

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Anazodo, Udunna

• Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework

Andrews, Derek S

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Androjna, Charlie

• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

André, Fabrice

• Unsupervised Nuclei Segmentation using Spatial Organization Priors

Angelopoulos, Anastasios N.

• Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

Anglicheau, Dany

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Anthony, Lasse F. Wolff

• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Aoki, Shigeki

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Aparicio, Thomas

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Arbeláez, Pablo

• Towards Holistic Surgical Scene Understanding

Aresta, Guilherme

• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Arnold, Corey W.

• Transformer Lesion Tracker
• RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Arnold, Steven E.

• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Arora, Chetan

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Asad, Zuhayr

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Asani, Ben

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Asanomi, Takanori

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Ashmeade, Terri

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Ataliwala, Aishani

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Atwany, Mohammad

• DRGen: Domain Generalization in Diabetic Retinopathy Classification

Atwell, Scott

• Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Au, Kwok-hung

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Audigier, Chloé

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Aviles-Rivero, Angelica I.

• Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Avisdris, Netanell

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Axel, Leon

• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Ayhan, Murat Seçkin

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Ayobi, Nicolás

• Towards Holistic Surgical Scene Understanding

Ayromlou, Sana

• Class Impression for Data-free Incremental Learning

Azampour, Mohammad Farid

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows
• CACTUSS: Common Anatomical CT-US Space for US examinations

Bach Cuadra, Meritxell

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Badic, Bogdan

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Bae, Hyeon-Min

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Bagci, Ulas

• TGANet: Text-guided attention for improved polyp segmentation

Bai, Fan

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation
• Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Bai, Harrison X.

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Bai, Shaochen

• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Bai, Wenjia

• Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Bai, Wenpei

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Bai, Yanmiao

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

Bakhtari, Kian

• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Balaram, Shafa

• Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Bandara, Wele Gedara Chaminda

• Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Bano, Sophia

• Retrieval of surgical phase transitions using reinforcement learning
• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Bao, Shunxing

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Bapi, Raju S.

• mulEEG: A Multi-View Representation Learning on EEG Signals

Barakovic, Muhamed

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Barber, David

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Barber, Joshua C.

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Barker, Jocelyn

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Barral, Joelle

• RepsNet: Combining Vision with Language for Automated Medical Reports

Barratt, Dean

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Basak, Hritam

• Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI

Basu, Soumen

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Batail, Jean-Marie

• Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Bateson, Mathilde

• Test-Time Adaptation with Shape Moments for Image Segmentation

Batmanghelich, Kayhan

• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Bazzano, Lydia

• Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

Bearden, Carrie E.

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Beaton, Andrea

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Beck, Kristen

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Becker, Benjamin Tobias

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Behrendt, Finn

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Belagiannis, Vasileios

• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

Ben Ayed, Ismail

• Test-Time Adaptation with Shape Moments for Image Segmentation

Ben Bashat, Dafna

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Ben-Yosef, Guy

• Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

Bengs, Marcel

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Benmansour, Fethallah

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Beqiri, Arian

• D'ARTAGNAN: Counterfactual Video Generation
• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Bera, Sutanu

• Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Berens, Philipp

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Bernard, Olivier

• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Bernardino, Gabriel

• Reinforcement learning for active modality selection during diagnosis

Bertels, Jeroen

• The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Betz, Christian

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Beyaz, Abdurrahman

• Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning

Beyeler, Michael

• Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Beyersdorff, Dirk

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Bhagwat, Nikhil

• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Bharath, Anil A

• Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Bhattacharya, Debayan

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Bhattacharya, Moinak

• GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Bi, Lei

• Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Bian, Cheng

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Bian, Hao

• Multiple Instance Learning with Mixed Supervision in Gleason Grading

Bian, Wanyu

• A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

Bieder, Florentin

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
• Diffusion Models for Medical Anomaly Detection

Bigalke, Alexander

• Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

Billot, Benjamin

• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Bischof, Horst

• OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Bise, Ryoma

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Biswas, Prabir Kumar

• Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Bitarafan, Adeleh

• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Bizjak, Žiga

• Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Blankemeier, Louis

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Bloch, Isabelle

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Blumberg, Stefano B.

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Bodard, Sylvain

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Bodenstedt, Sebastian

• Stay focused - Enhancing model interpretability through guided feature training

Bogdanova, Anna

• Anomaly-aware multiple instance learning for rare anemia disorder classification

Bogner, Wolfgang

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Bogunović, Hrvoje

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Bohnenberger, Hanibal

• End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Boluda, Susana

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Bonheur, Savinien

• OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Bonnington, Paul

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
• Flexible Sampling for Long-tailed Skin Lesion Classification

Boreiko, Valentyn

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Bourgeat, Pierrick

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Boutin, Robert

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Bowling, Adrian

• Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Boxberg, Melanie

• S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
• Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Boyd, Joseph

• Region-guided CycleGANs for Stain Transfer in Whole Slide Images

Boyko, Orest

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Brandenburg, Johanna M.

• Stay focused - Enhancing model interpretability through guided feature training

Braun, Joschka

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Brawura-Biskupski-Samaha, Robert

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Brehler, Michael

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Breininger, Katharina

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Brereton, Christopher J.

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Brink, Kevin

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Brown, Donald E.

• MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Brown, Kelsey

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Browning, James

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Bruce, Ashley

• Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Bukas, Christina

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Bône, Alexandre

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Cafaro, Alexandre

• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Cai, Hongmin

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Cai, Jianfei

• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Cai, Jing

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Cai, Leon Y.

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Cai, Linghan

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Cai, Miaomiao

• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Cai, Weidong

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Cai, Yu

• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Cai, Zhiyuan

• Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Caicedo, Juan

• Towards Holistic Surgical Scene Understanding

Camburu, Oana-Maria

• Explaining Chest X-ray Pathologies in Natural Language

Campello, Victor

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Cao, Maosong

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Cao, Yan

• Online Reflective Learning for Robust Medical Image Segmentation

Carass, Aaron

• Deep filter bank regression for super-resolution of anisotropic MR brain images

Cardoso, M. Jorge

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Carmichael, Iain

• Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Carmichael, Owen

• Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

Carneiro, Gustavo

• Test Time Transform Prediction for Open Set Histopathological Image Recognition
• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
• Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Carrasco Limeros, Sandra

• The (de)biasing effect of GAN-based augmentation methods on skin lesion images

Casadio, Maura

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Casukhela, Ishya

• Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Cattin, Philippe C.

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
• Diffusion Models for Medical Anomaly Detection

Celi, Leo A.

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Cerri, Stefano

• Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Chai, Zhizhong

• ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Chakravarty, Arunava

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

Chambost, Jérôme

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Chan, Jany

• Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Chan, Yi Hao

• Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Chandra, Shekhar S.

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation
• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Chang, Amy Tien Yee

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Chang, Eric I-Chao

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Chang, Feng

• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Chang, Jianbo

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Chang, Jin Ho

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Chang, Kai-Wei

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Chang, Qi

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Chang, Shi

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Chang, Tsung-Hui

• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Chang, Xiaojun

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Chao, Hanqing

• Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
• Overlooked Trustworthiness of Saliency Maps

Chapman, James

• Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Chartsias, Agisilaos

• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Chasmai, Mustafa

• Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Chaudhari, Akshay S.

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Chavas, Joël

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Che, Haoxuan

• Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Chellappa, Rama

• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Chen, Bing

• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Chen, Brian Y.

• Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Chen, Chaoyu

• Fine-grained Correlation Loss for Regression

Chen, Chen

• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
• Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores
• Embedding Gradient-based Optimization in Image Registration Networks

Chen, Cheng

• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
• Online Reflective Learning for Robust Medical Image Segmentation

Chen, Danny Z.

• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
• Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation
• Data-Driven Deep Supervision for Skin Lesion Classification
• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Chen, Eric Z.

• Invertible Sharpening Network for MRI Reconstruction Enhancement

Chen, Fang

• Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

Chen, Fei

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Chen, Geng

• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Chen, Guangyong

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Chen, Guanqi

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Chen, Guoqiang

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Chen, Hanbo

• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Chen, Hao

• Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
• ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
• Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
• Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Chen, Jiajun

• What Makes for Automatic Reconstruction of Pulmonary Segments

Chen, Jiashun

• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Chen, Jiayu

• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Chen, Jie

• An Inclusive Task-Aware Framework for Radiology Report Generation

Chen, Jintai

• Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Chen, Junliang

• Sample hardness based gradient loss for long-tailed cervical cell detection

Chen, Lijiang

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Chen, Long

• SATr: Slice Attention with Transformer for Universal Lesion Detection

Chen, Pingyi

• End-to-End cell recognition by point annotation
• ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Chen, Qi

• Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

Chen, Qihua

• Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations

Chen, Qiuhui

• Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Chen, Richard J.

• Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Chen, Siheng

• Weakly Supervised Online Action Detection for Infant General Movements

Chen, Sijie

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Chen, Siyu

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Chen, Terrence

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
• Invertible Sharpening Network for MRI Reconstruction Enhancement

Chen, Tiffany Y.

• Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Chen, Tingting

• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Chen, Xi

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Chen, Xiang

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Chen, Xiao

• Invertible Sharpening Network for MRI Reconstruction Enhancement

Chen, Xiaoyang

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

Chen, Xin

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform
• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Chen, Xinrong

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

Chen, Xiongchao

• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Chen, Xu

• Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer
• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Chen, Xuejin

• Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations

Chen, Yang

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images
• Multiple Instance Learning with Mixed Supervision in Gleason Grading
• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Chen, Yen-Wei

• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation
• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Chen, Yihao

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Chen, Yinan

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Chen, Yuanhong

• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Chen, Yuanyuan

• Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

Chen, Yufei

• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Chen, Yulong

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Chen, Yunmei

• A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

Chen, Yuqian

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Chen, Zeyu

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Chen, Zhao

• Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images

Chen, Zhaolin

• A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Chen, Zhen

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization
• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Chen, Zhibo

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Chen, Zhihong

• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Chen, Zijian

• Modelling Cycles in Brain Networks with the Hodge Laplacian

Chen, Ziyang

• DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Chen, Ziyi

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Cheng, Bastian

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Cheng, Hui

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Cheng, Jun

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Cheng, Kwang-Ting

• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Cheng, Li-Hsin

• Transformer based feature fusion for left ventricle segmentation in 4D flow MRI
• Contrastive learning for echocardiographic view integration

Cheng, Pujin

• DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Cheng, Xuelian

• Deep Laparoscopic Stereo Matching with Transformers

Cheng, Yi

• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Cheng, Zhen

• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Cheng, Zhiwei

• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Cheung, Andy Lai-Yin

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Cheung, Carol Y.

• Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Cheung, Tak-Hong

• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Chien, Aichi

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Chikontwe, Philip

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Chirra, Prathyush

• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Choi, Injun

• How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Choi, June Ho

• Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Choi, Kup-Sze

• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

Choi, Min-Kook

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Choi, Wookjin

• CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Choo, Jaegul

• Morphology-Aware Interactive Keypoint Estimation

Christlein, Vincent

• Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Christodoulidis, Stergios

• Unsupervised Nuclei Segmentation using Spatial Organization Priors
• Region-guided CycleGANs for Stain Transfer in Whole Slide Images

Chu, Xiaowen

• Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

Chuang, Kai-Cheng

• Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

Chui, Cheekong

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Chung, Albert C. S.

• Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans

Chung, Moo K.

• Modelling Cycles in Brain Networks with the Hodge Laplacian

Civera, Javier

• On the Uncertain Single-View Depths in Colonoscopies

Clarysse, Patrick

• Reinforcement learning for active modality selection during diagnosis

Clément, Michaël

• Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Coatrieux, Jean-Louis

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Cole, Graham

• Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Cole, Martin

• Analyzing Brain Structural Connectivity as Continuous Random Functions

Collaborative, Medical Annotation

• Automation of clinical measurements on radiographs of children's hips

Collins, Toby

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Coloigner, Julie

• Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Confidence, Raymond

• Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework

Cong, Longfei

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Consagra, William

• Analyzing Brain Structural Connectivity as Continuous Random Functions

Consortium, Simons Variation in Individuals Project

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Conze, Pierre-Henri

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Cootes, Timothy F.

• Automation of clinical measurements on radiographs of children's hips
• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets
• A Sense of Direction in Biomedical Neural Networks

Cornish, Toby C.

• Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection

Correas, Jean-Michel

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Cotin, Stéphane

• An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

Coupé, Pierrick

• Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Couzinié-Devy, Florent

• Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Crane, Christopher

• Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Cui, Can

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Cui, Hejie

• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Cui, Hui

• Semi-supervised histological image segmentation via hierarchical consistency enforcement
• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Cui, Jianan

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Cui, Shuguang

• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

Cui, Xiangxiang

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Cui, Zhiming

• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints
• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Cury, Claire

• Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Czempiel, Tobias

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

Dadashkarimi, Javid

• Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport

Dadi, Kamalaker

• mulEEG: A Multi-View Representation Learning on EEG Signals

Dahiya, Navdeep

• CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Dai, Haixing

• Embedding Human Brain Function via Transformer

Dai, Lin

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Dai, Wei

• The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference
• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Dai, Yulan

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Dakurah, Sixtus

• Modelling Cycles in Brain Networks with the Hodge Laplacian

Dallolio, Villiam

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Dam, Erik B.

• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Dan, Tingting

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Dang, Kang

• Weakly Supervised Online Action Detection for Infant General Movements

Daroach, Gagandeep B.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Das, Sudeshna

• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Dasegowda, Giridhar

• Overlooked Trustworthiness of Saliency Maps

David, Anna L.

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Davids, Joseph

• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

De Benetti, Francesca

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

De Momi, Elena

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

DeSilvio, Thomas

• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Deible, Christopher

• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Delatour, Benoît

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Delaunay, Remi

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Deng, Danruo

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Deng, Hannah H.

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Deng, Ruining

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Deng, Tingming

• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Denoeux, Thierry

• Evidence fusion with contextual discounting for multi-modality medical image segmentation

Denzinger, Felix

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Deprest, Jan

• Retrieval of surgical phase transitions using reinforcement learning

Derakhshani, Mohammad Mahdi

• LifeLonger: A Benchmark for Continual Disease Classification

Desai, Arjun D.

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Desrosiers, Christian

• Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Deutsch, Eric

• Region-guided CycleGANs for Stain Transfer in Whole Slide Images
• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Dey, Neel

• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

DiMaio, Simon

• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

DiMonte, Lela

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Diab, Khassan

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Diana, Michele

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Diao, Pengfei

• Histogram-based unsupervised domain adaptation for medical image classification

Diao, Zhaoqi

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Dietrich, Anna-Sophia

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Dima, Alina

• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Ding, Dayong

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Ding, Hao

• CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Ding, Lian

• Learning Incrementally to Segment Multiple Organs in a CT Image
• Aggregative Self-Supervised Feature Learning from Limited Medical Images

Ding, Qiaoqiao

• MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation

Ding, Xiaowei

• Weakly Supervised Online Action Detection for Infant General Movements

Ding, Xinpeng

• Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

Dinsdale, Nicola K.

• FedHarmony: Unlearning Scanner Bias with Distributed Data

Distler, Marius

• Stay focused - Enhancing model interpretability through guided feature training

Ditt, Hendrik

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Doan, Tan Nhu Nhat

• GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Dolz, Jose

• Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

Dombrowski, Mischa

• D'ARTAGNAN: Counterfactual Video Generation

Dong, Haoyu

• The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Dong, Jiuyang

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images

Dong, Li

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Dong, Nanqing

• Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Dong, Shunjie

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Dong, Siyuan

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
• Invertible Sharpening Network for MRI Reconstruction Enhancement

Dong, Yijie

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Dong, Yuhan

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Dou, Dejing

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Dou, Haoran

• Online Reflective Learning for Robust Medical Image Segmentation
• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Dou, Qi

• WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution
• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
• Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification
• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
• DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging
• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Draganski, Bogdan

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Dromey, Brian

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Droste, Richard

• USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding

Drukker, Lior

• USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding
• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data
• Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Drummond, Tom

• Deep Laparoscopic Stereo Matching with Transformers

Du, Bo

• What Makes for Automatic Reconstruction of Pulmonary Segments
• LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

Du, Changde

• Graph Emotion Decoding from Visually Evoked Neural Responses

Du, Dandan

• Learning Incrementally to Segment Multiple Organs in a CT Image

Du, Liwei

• Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Du, Shiyi

• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Du, Yuhao

• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Duchateau, Nicolas

• Reinforcement learning for active modality selection during diagnosis

Duenweg, Savannah R.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Dufumier, Benoît

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Dummer, Sven

• Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Duncan, James S.

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
• Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Duran, Fatih Said

• Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning

Durrleman, Stanley

• Progression models for imaging data with Longitudinal Variational Auto Encoders

Dutta, Sandeep

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Dvornek, Nicha C.

• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET

Dylov, Dmitry V.

• Optimal MRI Undersampling Patterns for Pathology Localization
• Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks
• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Dziadosz, Martyna

• Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Döllinger, Michael

• Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

D’Souza, Niharika S.

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Ebsim, Raja

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Eck, Ulrich

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

Egan, Gary

• A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Eggert, Dennis

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

El Barbari, Jan S.

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

El Fakhri, Georges

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Elhabian, Shireen

• From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach

Elkhill, Connor

• Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Elliott, Michael

• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

Elson, Daniel S.

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Emde, Cornelius

• Explaining Chest X-ray Pathologies in Natural Language

Emre, Taha

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

Endo, Mark

• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Eo, Taejoon

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Erattakulangara, Subin

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Ezhov, Ivan

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Faber, Benjamin G.

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Faber, Hanna

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Falta, Fenja

• Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks

Fan, De-Jun

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation
• Lesion-aware Dynamic Kernel for Polyp Segmentation

Fan, Lei

• Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Fan, Mengsi

• Learning Incrementally to Segment Multiple Organs in a CT Image

Fan, Richard

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Fan, Siu Hin

• Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Fan, Xiangshan

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Fan, Yiting

• DSR: Direct Simultaneous Registration for Multiple 3D Images

Fan, Yubo

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation
• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Fang, Chaowei

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Fang, Huihui

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Fang, Jiansheng

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Fang, Junjie

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Fang, Long

• Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Fang, Ruogu

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Fang, Xi

• Supervised Deep Learning for Head Motion Correction in PET
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Fang, Yi

• Implicit Neural Representations for Medical Imaging Segmentation

Fang, Yu

• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Fang, Yuqi

• Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Fang, Zhenghan

• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Fang, Zhenyu

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Farshad, Azade

• Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Farshad, Mazda

• Conditional Generative Data Augmentation for Clinical Audio Datasets

Fathollahi, Mona

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Fawaz, Abdulah

• A Deep-Discrete Learning Framework for Spherical Surface Registration

Fazekas, Botond

• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Fei, Yuchen

• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization

Fei-Fei, Li

• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Feizi, Navid

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Feng, Dagan

• Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Feng, Jun

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

Feng, Ming

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Feng, Qianjin

• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition

Feng, Wei

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Feng, Yingjie

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Feragen, Aasa

• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Fernández, Nicolás

• Towards Holistic Surgical Scene Understanding

Ferrara, Daniela

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Ferroli, Paolo

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Ferrucci, Luigi

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Fiehler, Jens

• Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Figini, Matteo

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Finn, J. Paul

• A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Foncubierta-Rodriguez, Antonio

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Fookes, Clinton

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Fooladgar, Fahimeh

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Foreman, Sarah C.

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Forkert, Nils D.

• Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Fortel, Igor

• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Frangi, Alejandro F.

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Frazer, Helen

• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

Freedman, Daniel

• RepsNet: Combining Vision with Language for Automated Medical Reports

Freiman, Moti

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency
• PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

French, Brooke

• Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Frenkel, Lior

• Calibration of Medical Imaging Classification Systems with Weight Scaling

Fripp, Jurgen

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Frisken, Sarah

• On the Dataset Quality Control for Image Registration Evaluation
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

Frouin, Vincent

• Interpretable signature of consciousness in resting-state functional network brain activity

Frysz, Monika

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Fréour, Thomas

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Fu, Darren

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Fu, Huazhu

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
• TBraTS: Trusted Brain Tumor Segmentation
• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation
• Instrument-tissue Interaction Quintuple Detection in Surgery Videos
• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Fu, Jun

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Fu, Junling

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Fu, Xinliang

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Fua, Pascal

• Weakly Supervised Volumetric Image Segmentation with Deformed Templates
• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
• Enforcing connectivity of 3D linear structures using their 2D projections

Fuchs, Moritz

• Federated Stain Normalization for Computational Pathology

Fujimoto, James

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Funke, Jan

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Furui, Akira

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Fürböck, Christoph

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Fürnstahl, Philipp

• Conditional Generative Data Augmentation for Clinical Audio Datasets

Gaitskell, Kezia

• Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Gal, Yaniv

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Galazis, Christoforos

• Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Galdran, Adrian

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

Gallegos, Isabel

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Gangolli, Sadjyot

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Ganz, Melanie

• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Gao, Chang

• A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Gao, Dongxu

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Gao, Fei

• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Gao, Feng

• Lesion-aware Dynamic Kernel for Polyp Segmentation

Gao, Jing

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

Gao, Jun

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Gao, Riqiang

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Gao, Shangqi

• Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Gao, Xiangbo

• Sample hardness based gradient loss for long-tailed cervical cell detection

Gao, Yibo

• Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Gao, Yuan

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Gao, Yunhe

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Gao, Yunshu

• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Gao, Yuqiang

• SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis

Gao, Zheyao

• Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Gao, Zhifan

• Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading
• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
• A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

Garberis, Ingrid

• Unsupervised Nuclei Segmentation using Spatial Organization Priors

Garg, Pankaj

• Transformer based feature fusion for left ventricle segmentation in 4D flow MRI

Garrucho, Lidia

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Gateno, Jaime

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Ge, Bao

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Ge, Enjie

• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Ge, Jia

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Ge, Rongjun

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Ge, Xinting

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

Ge, Zongyuan

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
• Flexible Sampling for Long-tailed Skin Lesion Classification
• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
• Deep Laparoscopic Stereo Matching with Transformers
• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Gehlbach, Peter

• Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Gerig, Guido

• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Gernand, Alison D.

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Gersing, Alexandra S.

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Ghaffari Laleh, Narmin

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

Ghaffari, Maani

• Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Ghamsarian, Negin

• DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Ghanem, Hossny

• MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Gholami, Zahra

• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

Gholipour, Ali

• Atlas-powered deep learning (ADL) - application to diffusion weighted MRI

Ghosal, Sagnik

• Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI

Ghosh, Shantanu

• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Gianatti, Andrea

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Giannarou, Stamatia

• Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning
• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Giganti, Francesco

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Gilad, Maya

• PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Gilani, Syed Zulqarnain

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Gilany, Mahdi

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Gilbert, Andrew

• Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

Giovannini, Andrea

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Githinji, Bilha

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Gkouzionis, Ioannis

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Glocker, Ben

• Vector Quantisation for Robust Segmentation
• Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Go, Heounjeong

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Goh, Vicky

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Goksel, Orcun

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Golby, Alexandra J.

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Goldberger, Jacob

• Calibration of Medical Imaging Classification Systems with Weight Scaling

Goldgof, Dmitry

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Goldstein, Jeffery A.

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Golland, Polina

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Gomariz, Alvaro

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Gomez, Chloé

• Interpretable signature of consciousness in resting-state functional network brain activity
• Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Goncalves, Jorge

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Gong, Haifan

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Gong, Kuang

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Gong, Mingming

• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Gong, Xuan

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

González Ballester, Miguel A.

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

Gori, Pietro

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Grabowski, Thomas

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Graham, Mark S.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Grant, P. Ellen

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Granziera, Cristina

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Gray, Robert

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Green, Andrew F.

• Automatic identification of segmentation errors for radiotherapy using geometric learning

Gregory, Jenny

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Grigis, Antoine

• Interpretable signature of consciousness in resting-state functional network brain activity
• Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Gritti, Giuseppe

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Gruber, Armin

• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Grussu, Francesco

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Grzeszczyk, Michal K.

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Grégoire, Vincent

• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Gu, Hanxue

• The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Gu, Lin

• Surgical Skill Assessment via Video Semantic Aggregation
• A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

Gu, Ran

• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Gu, Xianfeng

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Gu, Yi

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Gu, Yun

• CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs
• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Gu, Yuning

• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Gu, Yuxiang

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Guan, Cuntai

• Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Guan, Hao

• Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Gudmundsson, Eyjolfur

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Guillon, Louise

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Gunel, Beliz

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Guo, Dazhou

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Guo, Jia

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Guo, Lijun

• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Guo, Lin

• Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Guo, Lixin

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Guo, Pengfei

• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Guo, Xiaoqing

• Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
• Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

Guo, Xueqi

• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Gupta, Aarushi

• What can we learn about a generated image corrupting its latent representation?

Gupta, Akash

• Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Gupta, Anshu

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Gupta, Mayank

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Gupta, Pankaj

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Gupta, Rajarsi

• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Gurevitch, Guy

• fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

Gutaj, Paweł

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Gyawali, Prashnna K.

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Haak, Monique

• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Hacihaliloglu, Ilker

• Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency
• Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Hadjikhani, Nouchine

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Hafner, Michael

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Hagos, Yeman Brhane

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Hale, Matthew

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Hamarneh, Ghassan

• Deep Multimodal Guidance for Medical Image Classification

Hamill, Barbra

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Hammernik, Kerstin

• Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging
• Embedding Gradient-based Optimization in Image Registration Networks

Han, Hu

• SATr: Slice Attention with Transformer for Universal Lesion Detection

Han, Junwei

• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
• Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Han, Ligong

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Han, Luyi

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Han, Mei

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Han, Shuo

• Deep filter bank regression for super-resolution of anisotropic MR brain images

Han, Tong

• NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Han, Xianhua

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Han, Xiaoguang

• A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

Han, Xiaoyang

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Hang, Wenlong

• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

Hangel, Gilbert

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Hansen, Lasse

• Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks
• Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

Hao, Cong

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Hao, Jianye

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Hao, Jinkui

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

Hao, Luoying

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Hao, Qi

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Haouchine, Nazim

• On the Dataset Quality Control for Image Registration Evaluation

Haq, Mohammad Minhazul

• Self-Supervised Pre-Training for Nuclei Segmentation

Harandi, Mehrtash

• Deep Laparoscopic Stereo Matching with Transformers
• A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Harvey, Nicholas C.

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Hashimoto, Yuki

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Hattori, Nobutaka

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Hayashi, Yuichiro

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency
• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Hayashida, Junya

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Hayat, Munawar

• A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

He, Huaqing

• Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

He, Huiguang

• Graph Emotion Decoding from Visually Evoked Neural Responses

He, Jianzhong

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

He, Lei

• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

He, Lifang

• Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease
• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

He, Mengshen

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

He, Mingguang

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

He, Nanjun

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

He, Peter

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

He, Shenghua

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

He, Xiaopu

• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

He, Xiaoxiao

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

He, Xin

• Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

He, Yufan

• Efficient population based hyperparameter scheduling for medical image segmentation

He, Yushuang

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

He, Yuting

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction
• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

He, Zhiqiang

• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Heimann, Tobias

• End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Hein, Matthias

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Heinrich, Mattias P.

• Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks
• Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

Helbich, Thomas

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Henderson, Edward G. A.

• Automatic identification of segmentation errors for radiotherapy using geometric learning

Hendler, Talma

• fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

Heng, Pheng-Ann

• Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
• ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification
• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Henningson, Jann-Ole

• Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Henriksen, Anders

• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Henry, Théophraste

• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Henschel, Leonie

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Heo, Dawoon

• Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Heo, Hye-Young

• Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Hermoza, Renato

• Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Hernández, Isabela

• Towards Holistic Surgical Scene Understanding

Herzog, Richard

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Hesse, Linde S.

• INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

Hewitt, Katherine J.

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

Hickman, Cristina

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Hirsch, Peter

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Ho, Edmond S. L.

• Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Ho, Tsung-Ying

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Hoch, Armando

• Conditional Generative Data Augmentation for Clinical Audio Datasets

Hoffmann, Anna Sophie

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Hohberger, Bettina

• Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Holmberg, Olle

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Honarvar, Mohammad

• Learning-based US-MR Liver Image Registration with Spatial Priors

Hong, Kunlei

• Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Hong, SeulGi

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Hong, Seungbum

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Hong, Yi

• Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Hostettler, Alexandre

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Hou, Wentai

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Hou, Xiangyu

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Hou, Yonghe

• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Hou, Yuenan

• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Hou, Zeng-Guang

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Howard, James

• Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Hu, Bo

• Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
• Efficient Biomedical Instance Segmentation via Knowledge Distillation

Hu, Changhong

• Learning-based US-MR Liver Image Registration with Spatial Priors

Hu, Chengguang

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Hu, Dan

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Hu, Dewei

• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Hu, Dianlin

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Hu, Hongjie

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Hu, Jingtong

• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Hu, Jinpeng

• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Hu, Minhao

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Hu, Qingqiao

• Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Hu, Rui

• TransEM: Residual Swin-Transformer based regularized PET image reconstruction

Hu, Shishuai

• Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation

Hu, Tao

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Hu, X. Sharon

• Data-Driven Deep Supervision for Skin Lesion Classification

Hu, Xiaobin

• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Hu, Xindi

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Online Reflective Learning for Robust Medical Image Segmentation
• Fine-grained Correlation Loss for Regression

Hu, Yan

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection
• Instrument-tissue Interaction Quintuple Detection in Surgery Videos
• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Hu, Yang

• Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Hu, Ying

• A Self-Guided Framework for Radiology Report Generation

Hu, Yipeng

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Hu, Yiwen

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

Hua, Xian-Sheng

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding
• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Huang, Baoru

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Huang, Han

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Huang, Haoyuan

• Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Huang, Helong

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Huang, Heng

• Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
• Predicting Spatio-Temporal Human Brain Response Using fMRI
• Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Huang, Jiahao

• Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Huang, Jianfeng

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Huang, Jiawei

• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Huang, Junjia

• Attentive Symmetric Autoencoder for Brain MRI Segmentation

Huang, Junzhou

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis
• Self-Supervised Pre-Training for Nuclei Segmentation

Huang, Kai

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Huang, Kun

• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Huang, Ling

• Evidence fusion with contextual discounting for multi-modality medical image segmentation

Huang, Lu

• DisQ: Disentangling Quantitative MRI Mapping of the Heart

Huang, Qiming

• Stepwise Feature Fusion: Local Guides Global

Huang, Ruobing

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound
• Fine-grained Correlation Loss for Regression

Huang, Shoudong

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
• DSR: Direct Simultaneous Registration for Multiple 3D Images

Huang, Siyu

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Huang, Wei

• Efficient Biomedical Instance Segmentation via Knowledge Distillation
• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Huang, Weijun

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Huang, Xiao

• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Huang, Xiaolei

• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
• Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Huang, Xiaoqiong

• Online Reflective Learning for Robust Medical Image Segmentation

Huang, Xufeng

• Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

Huang, Yangxin

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Huang, Yankai

• Fine-grained Correlation Loss for Regression

Huang, Yawen

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• Orientation-Shared Convolution Representation for CT Metal Artifact Learning
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Huang, Yecheng

• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

Huang, Ying

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Huang, Yuhao

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Online Reflective Learning for Robust Medical Image Segmentation
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Huang, Yunzhi

• Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer
• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Huang, Zhengxing

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

Huang, Zhongyu

• Graph Emotion Decoding from Visually Evoked Neural Responses

Huang, Zhuobin

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Huang, Ziqi

• DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Huisken, Jan

• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Humbert, Olivier

• Privacy Preserving Image Registration

Huo, Yuankai

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Husvogt, Lennart

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Hutchinson, Charles

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Hwang, Dosik

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Hwang, Jae Youn

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Hyung, Woo Jin

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Ibragimov, Bulat

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

Iczkowski, Kenneth A.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Igarashi, Takeo

• Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Igel, Christian

• Histogram-based unsupervised domain adaptation for medical image classification

Iglesias, Juan Eugenio

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Ihler, Sontje

• A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

Ilanchezian, Indu

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Ilic, Slobodan

• What can we learn about a generated image corrupting its latent representation?

Imran, Abdullah-Al-Zubaer

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Indahlastari, Aprinda

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Ingrassia, Léa

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Islam, Ali

• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Islam, Mobarakol

• Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
• Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
• Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches
• Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Islam, Mohammad Mohaiminul

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Itoh, Hayato

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Iwamoto, Yutaro

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Jacob, Joseph

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Jacob, Mathews

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Jacobsohn, Kenneth M.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Jacquemont, Sebastien

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Jacques, Céline

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Jagadeesan, Jayender

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

Jager, Rolf

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Jago, James

• Learning-based US-MR Liver Image Registration with Spatial Priors

Jahanshad, Neda

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Jain, Shubham

• GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Jamal, Muhammad Abdullah

• Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Jamaludin, Amir

• Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Jamzad, Amoon

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Janahi, Mohammed

• Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Jang, Geonwoon

• Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Jansen, Florian

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Jarraya, Béchir

• Interpretable signature of consciousness in resting-state functional network brain activity
• Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Jenke, Alexander C.

• Stay focused - Enhancing model interpretability through guided feature training

Jenkinson, Mark

• FedHarmony: Unlearning Scanner Bias with Distributed Data

Jensen, Patrick

• Weakly Supervised Volumetric Image Segmentation with Deformed Templates

Jezierska, Anna

• Multi-task video enhancement for dental interventions

Jha, Debesh

• TGANet: Text-guided attention for improved polyp segmentation

Ji, Haoqin

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

Ji, Hua

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Ji, Xiaodan

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Jia, Congfu

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Jia, Meng

• Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Jia, Xiao

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

Jia, Xiaohong

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Jian, Bailiang

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Jiang, Caiwen

• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Jiang, Haotian

• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Jiang, Huiqin

• Transformer Based Multi-View Network for Mammographic Image Classification

Jiang, Jue

• Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Jiang, Liang

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Jiang, Meirui

• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Jiang, Runzhou

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Jiang, Weiwei

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Jiang, Xiajun

• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Jiang, Yankai

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Jiang, Zekun

• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Jiang, Zhiguo

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
• Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Jiang, Zhihao

• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Jiao, Menglei

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Jiao, Yining

• iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Jiao, Zhengyang

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Jiao, Zhicheng

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Jimenez, Gabriel

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Jin, Chen

• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Jin, Dakai

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding
• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Jin, Haibo

• Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Jin, Qiangguo

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Jin, Richu

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Jin, Ruinian

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Jo, Kyuhee

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Jodoin, Pierre-Marc

• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Jones, Mark G.

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Jonsson, Anders

• Reinforcement learning for active modality selection during diagnosis

Joshi, Anand A.

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Joskowicz, Leo

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Ju, Lie

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Flexible Sampling for Long-tailed Skin Lesion Classification

Judge, Thierry

• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Jung, Chanyong

• Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

Jung, Chul-Woo

• Attention mechanisms for physiological signal deep learning: which attention should we take?

Jung, Guil

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Jürgens, Markus

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

K. Kumamaru, Kanako

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

K. Z. Tehrani, Ali

• Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Kadir, Timor

• Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Kainmueller, Dagmar

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Kainz, Bernhard

• D'ARTAGNAN: Counterfactual Video Generation

Kaissis, Georgios

• Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Kajita, Hiroki

• Graph-based Compression of Incomplete 3D Photoacoustic Data

Kalogeiton, Vicky

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Kalra, Mannudeep K.

• Overlooked Trustworthiness of Saliency Maps

Kamagata, Koji

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Kamath, Pranav

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Kamnitsas, Konstantinos

• Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Kampffmeyer, Michael

• Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Kamzolov, Dmitry

• Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Kanding, Benjamin

• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Kang, Beomgu

• Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Kang, Eunsong

• Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Kang, Han

• Transformer Lesion Tracker
• RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Kang, Qingbo

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching
• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Kang, Zili

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Kanski, Mikael

• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Kapur, Tina

• On the Dataset Quality Control for Image Registration Evaluation

Kar, Anuradha

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Karbasi, Amin

• Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport

Kardonik, Sofia

• FSE Compensated Motion Correction for MRI Using Data Driven Methods

Karimi, Davood

• Atlas-powered deep learning (ADL) - application to diffusion weighted MRI

Karwande, Gaurang

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Kasprian, Gregor

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Kassim, Ashraf

• Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Kather, Jakob N.

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

Katsaros, Efklidis

• Multi-task video enhancement for dental interventions

Kaufman, Arie

• CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Kayat Bittencourt, Leonardo

• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Kayser, Maxime

• Explaining Chest X-ray Pathologies in Natural Language

Kazanzides, Peter

• CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Kazemi Esfeh, Mohammad Mahdi

• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

Kazeminia, Salome

• Anomaly-aware multiple instance learning for rare anemia disorder classification

Ke, Jing

• RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization

Kebiri, Hamza

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Keicher, Matthias

• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Khan, Muhammad Osama

• Implicit Neural Representations for Medical Imaging Segmentation

Kia, Seyed Mostafa

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Kim, Boah

• Diffusion Deformable Model for 4D Temporal Medical Image Generation

Kim, Daeseung

• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Kim, Dong-Hyun

• Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Kim, Dong-Wook

• Morphology-Aware Interactive Keypoint Estimation

Kim, Jinhee

• Morphology-Aware Interactive Keypoint Estimation

Kim, Jinman

• Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Kim, Jong-Hoon

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Kim, Jun-Ho

• Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Kim, Jun-Young

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Kim, Kyungeun

• GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Kim, Kyungsang

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Kim, Meejeong

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Kim, Myeong-Gee

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Kim, Sungjae

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Kim, Tae Soo

• Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Kim, Tae-sung

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Kim, Taesung

• Morphology-Aware Interactive Keypoint Estimation

Kim, Taewoo

• Morphology-Aware Interactive Keypoint Estimation

Kim, Won Hwa

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition
• How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Kim, Yoon-Ji

• Morphology-Aware Interactive Keypoint Estimation

Kim, You Jin

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Kim, You-sung

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Kim, Youngmin

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Kin, Taichi

• Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Kirschke, Jan S.

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Kishi, Kazuo

• Graph-based Compression of Incomplete 3D Photoacoustic Data

Kitasaka, Takayuki

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Kleesiek, Jens

• Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Knier, Benjamin

• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Koch, Lisa M.

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Koch, Valentin

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Kong, Ming

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

Kong, Youyong

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Konz, Nicholas

• The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Kooi, Thijs

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography
• Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Kordon, Florian

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Kori, Avinash

• Vector Quantisation for Robust Segmentation

Korngut, Noam

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Kornreich, Micha

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Kostakos, Vassilis

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Kourtzi, Zoe

• Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Koziński, Mateusz

• Enforcing connectivity of 3D linear structures using their 2D projections

Krag, Christian Hedeager

• Histogram-based unsupervised domain adaptation for medical image classification

Kreis, Roland

• Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Krishna, Adithya K

• Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Krishnaswamy, Pavitra

• Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Kuang, Kaiming

• What Makes for Automatic Reconstruction of Pulmonary Segments
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Kuang, Kun

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

Kuang, Tianshu

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Kuhle, Jens

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Kuhnke, Felix

• A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

Kumar Sharma, Shivam

• mulEEG: A Multi-View Representation Learning on EEG Signals

Kumar, Nilesh

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Kumar, Sidharth

• FSE Compensated Motion Correction for MRI Using Data Driven Methods

Kumar, Vamsi

• mulEEG: A Multi-View Representation Learning on EEG Signals

Kumaralingam, Logiraj

• Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Kunze, Holger

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Kuo, C.-C. Jay

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Kurugol, Sila

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Kushibar, Kaisar

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Kuzmina, Ekaterina

• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Kwak, Jin Tae

• GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Kwapong, William Robert

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Kweon, In So

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Kwon, Hyuksool

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Kyan, Matthew

• Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Kyathanahally, Sreenath P.

• Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Kügler, David

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Küstner, Thomas

• Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

L. Sapp, John

• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

LaViolette, Peter S.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Lachinov, Dmitrii

• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Lai, Maode

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Lai, Peiwen

• Lesion-aware Dynamic Kernel for Polyp Segmentation

Lall, Brejesh

• Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Lam, Saikit

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Lampen, Nathan

• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Landman, Bennett A.

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Lang, Yankun

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

Langs, Georg

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI
• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Lao, Qicheng

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching
• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Lassmann, Łukasz

• Multi-task video enhancement for dental interventions

Laurienti, Paul

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Lawry Aguila, Ana

• Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Le Bescond, Loïc

• Unsupervised Nuclei Segmentation using Spatial Organization Priors

LeBeau, Scott

• Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Leahy, Richard

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Lebrat, Léo

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Lee, Alex P.W.

• DSR: Direct Simultaneous Registration for Multiple 3D Images

Lee, Ciarán Gilligan

• D'ARTAGNAN: Counterfactual Video Generation

Lee, Francis Kar-ho

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Lee, Haejoon

• Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Lee, Ho Hin

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Lee, Hyung-Chul

• Attention mechanisms for physiological signal deep learning: which attention should we take?

Lee, Jieun

• A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

Lee, Jiwon

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Lee, Joohyung

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Lee, Joonhyung

• Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

Lee, Kyungsu

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Lee, Moon Hwan

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Lee, Sanghyup

• Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Lee, Seul

• Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Lee, Suho

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Lee, Victor Ho-fun

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Lee, Yueh Z.

• LiftReg: Limited Angle 2D/3D Deformable Registration

Leeson, Paul

• D'ARTAGNAN: Counterfactual Video Generation

Lei, Baiying

• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

Lei, Wenhui

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Lei, Yu

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Leibovitz, Rotem

• fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

Lekadir, Karim

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Leow, Alex

• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Lerousseau, Marvin

• Unsupervised Nuclei Segmentation using Spatial Organization Priors
• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Leroy, Amaury

• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Leslie, William D.

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Levac, Brett

• FSE Compensated Motion Correction for MRI Using Data Driven Methods

Lewandowska, Emilia

• Multi-task video enhancement for dental interventions

Lewis, Joshua R.

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Li, Anwei

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Li, Canran

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Li, Dong

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Li, Enyao

• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Li, Fang

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Li, Gang

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Li, Guanbin

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation
• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis
• Lesion-aware Dynamic Kernel for Polyp Segmentation
• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations
• Attentive Symmetric Autoencoder for Brain MRI Segmentation

Li, Guangyuan

• WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution

Li, Han

• SATr: Slice Attention with Transformer for Universal Lesion Detection

Li, Hao

• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Li, Haofeng

• Attentive Symmetric Autoencoder for Brain MRI Segmentation

Li, Haojie

• Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation
• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Li, Haoran

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Li, He

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Li, Heng

• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Li, Hongdong

• NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Li, Honglin

• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Li, Hongwei

• What Makes for Automatic Reconstruction of Pulmonary Segments
• Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Li, Huiqi

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Li, Jiacheng

• Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

Li, Jiajian

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Li, Jialu

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Li, Jing

• Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

Li, Jingxiong

• ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Li, Jingyu

• What Makes for Automatic Reconstruction of Pulmonary Segments

Li, Jinpeng

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification
• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Li, Jinxing

• ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Li, Jun

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
• Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
• A Self-Guided Framework for Radiology Report Generation

Li, Kailu

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Li, Kang

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching
• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Li, Lei

• Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Li, Lin

• Trichomonas Vaginalis Segmentation in Microscope Images

Li, Liunian Harold

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Li, Mei

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Li, Meng

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Li, Mingshuang

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Li, Mingxing

• Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Li, Qingli

• S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

Li, Quanzheng

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss
• Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Li, Shibo

• A Self-Guided Framework for Radiology Report Generation

Li, Shuo

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation
• SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis
• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction
• Contrastive Re-localization and History Distillation in Federated CMR Segmentation
• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Li, Suyun

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Li, Tian

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Li, Wen

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Li, Wenda

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Li, Wuyang

• Intervention & Interaction Federated Abnormality Detection with Noisy Clients

Li, Xi

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images

Li, Xiangyu

• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

Li, Xiaomeng

• Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
• Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Li, Xiaoxiao

• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
• Class Impression for Data-free Incremental Learning

Li, Xin

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Li, Xirong

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Li, Xiu

• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• A Medical Semantic-Assisted Transformer for Radiographic Report Generation

Li, Xuechen

• Sample hardness based gradient loss for long-tailed cervical cell detection

Li, Xuhong

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Li, Yang

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Li, Yi

• Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Li, Yiming

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Li, Yiyue

• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Li, Youru

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Li, Yueting

• Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Li, Yuexiang

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• Orientation-Shared Convolution Representation for CT Metal Artifact Learning
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
• Aggregative Self-Supervised Feature Learning from Limited Medical Images
• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Li, Yun Yvonna

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Li, Zeju

• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
• Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Li, Zezhong

• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Li, Zhen

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation
• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

Li, Zhenqiang

• Surgical Skill Assessment via Video Semantic Aggregation

Li, Zhiyuan

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Li, Zhongyu

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Lian, Jun

• Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Liang, Dong

• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Liang, Jiamin

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Online Reflective Learning for Robust Medical Image Segmentation

Liang, Peixian

• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models

Liang, Shuang

• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

Liang, Xinjie

• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

Liang, Yanting

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Liao, Fei

• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Liao, Hongen

• Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary
• Rib Suppression in Digital Chest Tomosynthesis

Liao, Renjie

• EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Liao, Weibin

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Liao, Weihang

• Graph-based Compression of Incomplete 3D Photoacoustic Data

Liao, Wenjun

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Liao, Zehui

• Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation

Liebner, David

• Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Liebschner, Michael A.K.

• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Lieffrig, Eléonore V.

• Supervised Deep Learning for Head Motion Correction in PET

Lienemann, Peter

• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Lim, Ruth

• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Lim, Yun Jeong

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Lin, Ailiang

• ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Lin, Bin

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Lin, Chen

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation
• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Lin, Hai

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Lin, Hongxiang

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Lin, Huangjing

• ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Lin, Jianyu

• Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Lin, Jun

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Lin, Junhao

• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Lin, Lanfen

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Lin, Li

• Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
• DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Lin, Lili

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Lin, Ruei-Sung

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Lin, Weili

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Lin, Weiyuan

• A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

Lin, Wenjun

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Lin, Yi

• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Lin, Yiqun

• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Lin, Yiyang

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images

Lin, Yuexiao

• Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Lin, Zehui

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Lin, Zhenyu

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Lin, Zhi

• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Lin, Zhihong

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Lin, Zongying

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Linardos, Akis

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Linch, David

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Lindner, Claudia

• Automation of clinical measurements on radiographs of children's hips
• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Lingala, Sajan Goud

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Linguraru, Marius George

• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization
• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Lipa, Michał

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Lippé, Sarah

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Liu, Baoer

• Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Liu, Chenyang

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Liu, Chi

• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Liu, Di

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Liu, Dongnan

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Liu, Feng

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation
• Extended Electrophysiological Source Imaging with Spatial Graph Filters
• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Liu, Fengbei

• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Liu, Han

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Liu, Haofeng

• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Liu, Haozhe

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Liu, Hong

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Liu, Hongbo

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Liu, Huabing

• Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Liu, Huafeng

• TransEM: Residual Swin-Transformer based regularized PET image reconstruction
• Physiological Model based Deep Learning Framework for Cardiac TMP Recovery
• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Liu, Hui

• A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

Liu, Jiaheng

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Liu, Jianfang

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Liu, Jiang

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans
• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection
• Instrument-tissue Interaction Quintuple Detection in Surgery Videos
• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Liu, Jiannan

• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Liu, Jiawei

• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

Liu, Jie

• Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Liu, Jingyi

• Trichomonas Vaginalis Segmentation in Microscope Images

Liu, Jinhua

• Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Liu, Jun

• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Liu, Kai

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Liu, Mianxin

• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Liu, Mingxia

• Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Liu, Minmin

• Sample hardness based gradient loss for long-tailed cervical cell detection

Liu, Paul

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Liu, Peng

• Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

Liu, Pengbo

• Learning Incrementally to Segment Multiple Organs in a CT Image

Liu, Ping

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Liu, Qin

• iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Liu, Quan

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Liu, Quande

• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Liu, Ruizhou

• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Liu, Sen

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Liu, Shaolei

• DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Liu, Shi-Qi

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Liu, Tianling

• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Liu, Tianming

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
• Embedding Human Brain Function via Transformer

Liu, Tianrui

• Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Liu, Ting

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Liu, Wan

• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Liu, Wangyan

• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Liu, Wei

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Liu, Wennan

• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Liu, Wentao

• Transforming the Interactive Segmentation for Medical Imaging
• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Liu, Xiao

• Why patient data cannot be easily forgotten?
• vMFNet: Compositionality Meets Domain-generalised Segmentation

Liu, Xiaofeng

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Liu, Xiaoyu

• Efficient Biomedical Instance Segmentation via Knowledge Distillation
• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Liu, Xinglong

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Liu, Xinwen

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Liu, Xinyu

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization
• Intervention & Interaction Federated Abnormality Detection with Noisy Clients

Liu, Yanbo

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Liu, Yang

• Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Liu, Yaou

• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Liu, Yi

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Liu, Yifan

• Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Liu, Yikang

• Invertible Sharpening Network for MRI Reconstruction Enhancement

Liu, Ying

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Liu, Yixun

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Liu, Yu

• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Liu, Yunbi

• A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

Liu, Yunhui

• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Liu, Yuxi

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Liu, Yuyuan

• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Liu, Zaiyi

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Liu, Zewen

• A Sense of Direction in Biomedical Neural Networks

Liu, Zhengliang

• Embedding Human Brain Function via Transformer

Liu, Zhexiong

• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Liu, Zhiwen

• Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

Liu, Zhizhe

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation
• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Liu, Zhouwu

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Liu, Ziwei

• Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

Liu, Zixuan

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Lizarraga, Aldana

• Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Lluch, Èric

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Lobo, Julio

• Learning-based US-MR Liver Image Registration with Spatial Priors

Lombaert, Herve

• Test-Time Adaptation with Shape Moments for Image Segmentation
• Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

Loncaric, Filip

• Reinforcement learning for active modality selection during diagnosis

Long, Yonghao

• Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Lorenzi, Marco

• Privacy Preserving Image Registration

Lourentzou, Ismini

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Lowman, Allison K.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Lu, Bo

• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Lu, Charles

• Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

Lu, Donghuan

• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
• An Inclusive Task-Aware Framework for Radiology Report Generation

Lu, Guangming

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
• ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Lu, Huanxiang

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Lu, Le

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding
• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Lu, Qi

• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Lu, Qing

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Lu, Shi

• Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Lu, Xiduo

• Fine-grained Correlation Loss for Regression

Lu, Ye

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

Lu, Yihuan

• Supervised Deep Learning for Head Motion Correction in PET

Lu, Yiting

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Lu, Zexin

• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Lu, Zhongyang

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Lu, Zixiao

• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Lukasiewicz, Thomas

• Explaining Chest X-ray Pathologies in Natural Language

Luo, Donghao

• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Luo, Gongning

• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Luo, Huanjia

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Luo, Jie

• On the Dataset Quality Control for Image Registration Evaluation
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Luo, Jiebo

• Federated Medical Image Analysis with Virtual Sample Synthesis

Luo, Luyang

• Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
• ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Luo, Mingyuan

• Fine-grained Correlation Loss for Regression
• Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Luo, Qi

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Luo, Tongyi

• Weakly Supervised Online Action Detection for Infant General Movements

Luo, Xiang

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Luo, Xiangde

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Luo, Xiaoling

• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Luo, Xiaoyuan

• DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Luo, Yong

• LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

Luo, Yulin

• RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization

Luong, Christina

• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

Lure, Yuan-ming Fleming

• Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Luu, Jennifer

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Lv, Yifan

• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Lv, Zhilong

• Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Lyu, Jun

• WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution
• DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging

Lyu, Shuchang

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Lyu, Yuanyuan

• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
• Rib Suppression in Digital Chest Tomosynthesis

López Diez, Paula

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Lüdke, David

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Ma, Chaofan

• Transforming the Interactive Segmentation for Medical Imaging

Ma, Guangshen

• On the Dataset Quality Control for Image Registration Evaluation

Ma, Han

• Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Ma, Jiquan

• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Ma, Jun

• Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

Ma, Kai

• Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Ma, Ke

• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Ma, Lan

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Ma, Lei

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Ma, Ling

• Transformer Based Multi-View Network for Mammographic Image Classification

Ma, Qiang

• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Ma, Shaodong

• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Ma, Weijie

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Ma, Wenao

• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Ma, Xi-Yao

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

MacKinnon, Andrew D.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

MacPherson, Matthew

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Machiraju, Raghu

• Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Madhusudhan, Savita

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Maes, Frederik

• The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Magdamo, Colin

• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Magnier, Baptiste

• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

Mah, Yee H.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Mahadevan, Jeyasuthan

• Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Mahapatra, Dwarikanath

• LifeLonger: A Benchmark for Continual Disease Classification

Mahmood, Faisal

• Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Mai, Juanyun

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Mai, Julia

• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Maicas, Gabriel

• Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Maier, Andreas

• Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model
• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning
• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Maillard, Anne

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Majchrowska, Sylwia

• The (de)biasing effect of GAN-based augmentation methods on skin lesion images

Makhro, Asya

• Anomaly-aware multiple instance learning for rare anemia disorder classification

Makris, Nikos

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Malin-Mayor, Caroline

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Mallya, Mayur

• Deep Multimodal Guidance for Medical Image Classification

Malmsten, Jonas

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Mangin, Jean-François

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Mann, Ritse

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Mansencal, Boris

• Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Mansi, Tommaso

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Manzoor, Komal

• RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Mao, Hangyu

• Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Mao, Zhehua

• DSR: Direct Simultaneous Registration for Multiple 3D Images

Mar, Victoria

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Marafioti, Teresa

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Marescaux, Jacques

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Margeta, Jan

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Markova, Viktoria

• Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Maron, David

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Marquand, Andre F.

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Marr, Carsten

• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
• Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction
• Anomaly-aware multiple instance learning for rare anemia disorder classification

Martinez-Cantin, Ruben

• On the Uncertain Single-View Depths in Colonoscopies

Martí Castellote, Pablo-Miki

• Reinforcement learning for active modality selection during diagnosis

Mathew, Shawn

• CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Mathieu, Marie-Christine

• Region-guided CycleGANs for Stain Transfer in Whole Slide Images

Matthews, Thomas Paul

• Deep is a Luxury We Don't Have

Maunz, Andreas

• Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Mauri, Chiara

• Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Mazurowski, Maciej

• The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Mbakwe, Amarachi B.

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

McCarthy, Davis J.

• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

Mcnamara, Christopher

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Mehta, Deval

• Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Mei, Lanzhuju

• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Meier, Matthias

• Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Meijering, Erik

• Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Meister, Felix

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Men, Qianhui

• Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Meng, Deyu

• Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Meng, Jia

• Stepwise Feature Fusion: Local Guides Global

Meng, Max Q.-H.

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation
• Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Meng, Mingyuan

• Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Meng, Qingjie

• Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Meng, Weiliang

• DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

Meng, Yanda

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Meng, Zhaopeng

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Menten, Martin J.

• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Menze, Bjoern H.

• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
• Landmark-free Statistical Shape Modeling via Neural Flow Deformations
• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Mestdagh, Guillaume

• An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

Metaxas, Dimitris

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Miao, Hanpei

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Miao, Juzheng

• Fine-grained Correlation Loss for Regression
• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Mihalef, Viorel

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Mikołajczyk, Agnieszka

• The (de)biasing effect of GAN-based augmentation methods on skin lesion images

Milecki, Leo

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Min, Xiongkuo

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Misawa, Kazunari

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Mishra, Suraj

• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
• Data-Driven Deep Supervision for Skin Lesion Classification

Missel, Ryan

• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Mithal, Leena

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Mo, Rong

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Mo, Yan

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Mogulkoc, Nesrin

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Mohammed, Shahed

• Learning-based US-MR Liver Image Registration with Spatial Priors

Mohareri, Omid

• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos
• Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis
• Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Moioli, Alessia

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Mok, Tony C. W.

• Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans

Mokhtari, Masoud

• EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Mombourquette, Brent

• Deep is a Luxury We Don't Have

Monajatipoor, Masoud

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Montana, Giovanni

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Moore, Ann Zenobia

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Moore, Caroline

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Moradi, Mehdi

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Morasso, Pietro

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Moreau, Clara A.

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Moretti, Paolo

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Mori, Kensaku

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency
• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Mottaghi, Ali

• Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Mou, Lei

• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Mousavi, Parvin

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Mouton, Peter R.

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Moyer, Daniel

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Muhtaseb, Rand

• EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

Mukhopadhyay, Anirban

• Federated Stain Normalization for Computational Pathology

Muthuswamy, Keerthini

• Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Mwinyelle, Delia

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Myronenko, Andriy

• Efficient population based hyperparameter scheduling for medical image segmentation
• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Márquez-Neila, Pablo

• Consistency-preserving Visual Question Answering in Medical Imaging

Mühlau, Mark

• Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Müller, Philip

• Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Müller, Sarah

• Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Müller-Stich, Beat P.

• Stay focused - Enhancing model interpretability through guided feature training

Mündermann, Lars

• Stay focused - Enhancing model interpretability through guided feature training

Nachev, Parashkev

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Nadeem, Saad

• CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
• CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Nagatomi, Ryoichi

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Najdenkoska, Ivona

• LifeLonger: A Benchmark for Continual Disease Classification

Nakamura, Ryosuke

• Surgical Skill Assessment via Video Semantic Aggregation

Nam, Hyeonseob

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Nam, Soo Jeong

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Namburete, Ana I. L.

• INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples
• FedHarmony: Unlearning Scanner Bias with Distributed Data
• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Nan, Yang

• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Nandakumar, Karthik

• Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
• Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Nandakumar, Naresh

• RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Narazani, Marla

• Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Nascimento, Jacinto C.

• Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Nath, Vishwesh

• Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Navab, Nassir

• Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
• What can we learn about a generated image corrupting its latent representation?
• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows
• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
• Conditional Generative Data Augmentation for Clinical Audio Datasets
• CACTUSS: Common Anatomical CT-US Space for US examinations
• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

Nawrin, Saida S.

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Nemirovsky-Rotman, Shira

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Nenning, Karl-Heinz

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Ng, Gary

• Learning-based US-MR Liver Image Registration with Spatial Priors

Nguyen, Anh

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Nguyen, Cuong M.

• Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Nguyen, Hien Van

• Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis

Nguyen, Huy Hoang

• AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Nguyen, Huy-Dung

• Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Nguyen, Khanh

• AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Nguyen, Toan

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Ni, Bingbing

• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Ni, Dong

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound
• Online Reflective Learning for Robust Medical Image Segmentation
• Fine-grained Correlation Loss for Regression
• Deep Motion Network for Freehand 3D Ultrasound Reconstruction
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Ni, Haomiao

• Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Ni, Wei

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Nie, Dong

• Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Niethammer, Marc

• LiftReg: Limited Angle 2D/3D Deformable Registration
• iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Ning, Lipeng

• On the Dataset Quality Control for Image Registration Evaluation

Ning, Munan

• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
• An Inclusive Task-Aware Framework for Radiology Report Generation

Nir, Talia M.

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Nishimura, Kazuya

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Noble, J. Alison

• USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding
• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data
• Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Noble, Stephanie

• The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference

Nordahl, Christine W

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Oberreuter, Johannes

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Oda, Masahiro

• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency
• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Odry, Benjamin

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Oguz, Ipek

• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Oh, Dong Jun

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Oh, Jieun

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Oh, Kwanseok

• A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

Oh, SeokHwan

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Okello, Emmy

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Olschewski, Horst

• OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Oner, Doruk

• Enforcing connectivity of 3D linear structures using their 2D projections

Onofrey, John A.

• Supervised Deep Learning for Head Motion Correction in PET
• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
• Atlas-based Semantic Segmentation of Prostate Zones

Osin, Jhonathan

• fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

Osman, Hussein

• Enforcing connectivity of 3D linear structures using their 2D projections

Ostrowski, Piotr K.

• Multi-task video enhancement for dental interventions

Otake, Yoshito

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Ou, Yanglan

• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation

OuYang, Pu-Yun

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Ounissi, Mehdi

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Ourselin, Sebastien

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Ouyang, Cheng

• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Ouyang, Hanqiang

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Oxtoby, Neil P.

• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

O’Donnell, Lauren J.

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

O’Neil, Alison Q.

• vMFNet: Compositionality Meets Domain-generalised Segmentation

O’Regan, Declan P

• Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Paetzold, Johannes C.

• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Page, Ann-Sophie

• Retrieval of surgical phase transitions using reinforcement learning

Pagnucco, Maurice

• Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Pai, Akshay

• Histogram-based unsupervised domain adaptation for medical image classification

Pal, Debashish

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Palumbo, Maria Chiara

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Pan, Chengwei

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Pan, Hongli

• Learning Incrementally to Segment Multiple Organs in a CT Image

Pan, Jiazhen

• Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Pan, Junwen

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Pan, Kai

• DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Pan, Qi

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Pan, Xipeng

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Pan, Yimu

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Pan, Yongsheng

• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Pandey, Prashant

• Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Pang, Emily H.T.

• Learning-based US-MR Liver Image Registration with Spatial Priors

Pang, Guansong

• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Pang, Tianji

• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network

Pang, Yunkui

• Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Papadakis, Nicolas

• Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Papadopoulou, Athina

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Papageorghiou, Aris T.

• USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding
• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data
• Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Papiez, Bartlomiej

• Explaining Chest X-ray Pathologies in Natural Language

Paprottka, Philipp

• CACTUSS: Common Anatomical CT-US Space for US examinations

Paragios, Nikos

• Region-guided CycleGANs for Stain Transfer in Whole Slide Images
• End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Park, Bokyung

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Park, Eunkyung

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Park, HyunWook

• Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Park, JinHyeong

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Park, Sang Hyun

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Park, Seong-A

• Attention mechanisms for physiological signal deep learning: which attention should we take?

Park, SungHyun

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Park, Wonhyoung

• Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Parsons, Guy

• Explaining Chest X-ray Pathologies in Natural Language

Pascucci, Marco

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Passerini, Tiziano

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Patel, Bhavik

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Patel, Rajni

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Patel, Vishal M

• UNeXt: MLP-based Rapid Medical Image Segmentation Network
• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
• Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency
• Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Patou, François

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Patri, Godhuli

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Paul, Robert

• A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Paulli, Athelia Rosa

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Paulsen, Rasmus

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Pauly, John

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Pawar, Jayashri

• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Pedrosa, Filipe C.

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Peebles, Donald M.

• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Peiris, Himashi

• A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Pena, Ramon

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Peng, Cheng

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation
• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Peng, Qiong

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Peng, Tingying

• S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
• Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Peng, Xingchen

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Peng, Yu-Shao

• Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

Perkonigg, Matthias

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Perry, Daniel C.

• Automation of clinical measurements on radiographs of children's hips

Petersen, Eike

• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Petersen, Elina

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Petersen, Marvin

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Peto, Tunde

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Pham, Dzung L.

• Deep filter bank regression for super-resolution of anisotropic MR brain images

Pienn, Michael

• OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Pilanci, Mert

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Pinaya, Walter H. L.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Pinker, Katja

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Planche, Benjamin

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Plein, Sven

• Transformer based feature fusion for left ventricle segmentation in 4D flow MRI

Ploner, Stefan

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Pohl, Kilian M.

• Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
• A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Pomerantz, Stuart

• Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

Pomplun, Sabine

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Pontoppidan, Katarina

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Porras, Antonio R.

• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization
• Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Porumb, Mihaela

• CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Poston, Kathleen L.

• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Prasanna, Prateek

• GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Prayer, Daniela

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Preibisch, Stephan

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Prescott, Stephanie

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Prevost, Raphael

• Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Prince, Jerry L.

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
• Deep filter bank regression for super-resolution of anisotropic MR brain images

Privalov, Maxim

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Puonti, Oula

• Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Purdon, Patrick L.

• Extended Electrophysiological Source Imaging with Spatial Graph Filters

Pölsterl, Sebastian

• Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs
• CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Płotka, Szymon

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Qi, Baolian

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Qi, Xiaoming

• SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis
• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Qian, Jikuan

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Qian, Yueliang

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Qian, Ziniu

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Qiang, Ning

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Qin, Chen

• Embedding Gradient-based Optimization in Image Registration Networks

Qin, Chenchen

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Qin, Jing

• WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution
• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
• Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification
• DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging
• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Qin, Peiwu

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Qin, Yulei

• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Qiu, Bingjiang

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Qiu, Huaqi

• Embedding Gradient-based Optimization in Image Registration Networks

Qiu, Peng

• FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

Qiu, Xiangcheng

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Qiu, Zhongxi

• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Qu, Linhao

• DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Quezada, Sergio A.

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Raccuia, Gabriella

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Rackerseder, Julia

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection

Racoceanu, Daniel

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Radeva, Petia

• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Ragoza, Matthew

• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Rahman, Aimon

• Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency
• Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Rajapakse, Jagath C.

• Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Rajendran, Srijithesh

• mulEEG: A Multi-View Representation Learning on EEG Signals

Ramakrishnapillai, Sreekrishna

• Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

Rambaldi, Alessandro

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Ramsay, Alan

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Rana, Pratyaksha

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Rathi, Yogesh

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Ratnarajah, Nagulan

• Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Ravikumar, Nishant

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Razumov, Artem

• Optimal MRI Undersampling Patterns for Pathology Localization
• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Recasens, David

• On the Uncertain Single-View Depths in Colonoscopies

Redaelli, Alberto

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Reddy, Likith

• mulEEG: A Multi-View Representation Learning on EEG Signals

Rees, Geraint

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Reid, Siobhan

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Reisenbüchler, Daniel

• Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Reiß, Simon

• Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Rekik, Islem

• Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning
• Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

Remedios, Samuel W.

• Deep filter bank regression for super-resolution of anisotropic MR brain images

Ren, Bohan

• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Ren, Ge

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Ren, Hongliang

• Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
• Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
• Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Ren, Yan

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Reuter, Martin

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Revilla, Enette

• Supervised Deep Learning for Head Motion Correction in PET

Reyes, Mauricio

• Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Reynaud, Hadrien

• D'ARTAGNAN: Counterfactual Video Generation

Reynolds, Maxwell

• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Rha, Hyeongseop

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Rieck, Bastian

• Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Riedl, Sophie

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Rischewski, Jon

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Rist, Leonhard

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Rittscher, Jens

• Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Rivail, Antoine

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

Rivaz, Hassan

• Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Rivière, Denis

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Rizzo, Rudy

• Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Robben, David

• The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Robinson, Emma C.

• A Deep-Discrete Learning Framework for Spherical Surface Registration

Rockall, Andrea

• Vector Quantisation for Robust Segmentation

Roddan, Alfie

• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Rodriguez, Fatima

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Rodriguez-Puigvert, Javier

• On the Uncertain Single-View Depths in Colonoscopies

Rogov, Oleg Y.

• Optimal MRI Undersampling Patterns for Pathology Localization
• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Rohling, Robert

• Learning-based US-MR Liver Image Registration with Spatial Priors

Rohé, Marc-Michel

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

Romascano, David

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Romeo, Valeria

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Ronchetti, Matteo

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
• Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Roshanitabrizi, Pooneh

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Rossi, Riccardo L

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Roth, Holger R.

• Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning
• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Rotman, Elad

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Rouhsedaghat, Mozhdeh

• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Roy-Chowdhury, Amit K.

• Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Ruan, Su

• Evidence fusion with contextual discounting for multi-modality medical image segmentation

Rubin, Daniel

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Rueckert, Daniel

• Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays
• Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
• Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
• Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging
• Embedding Gradient-based Optimization in Image Registration Networks

Ruiz Puentes, Paola

• Towards Holistic Surgical Scene Understanding

Ruminski, Jacek

• Multi-task video enhancement for dental interventions

Runkel, Christina

• Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Rusho, Rushdi Zahid

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Rusu, Mirabela

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Rwebembera, Joselyn

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Rössler, Karl

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

S. MacLeod, Rob

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Saalbach, Axel

• Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

Sable, Craig

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Sacco, Dianne

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Sadafi, Ario

• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
• Anomaly-aware multiple instance learning for rare anemia disorder classification

Sadri, Amir Reza

• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Saeed, Numan

• TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Sahiner, Arda

• Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Saibro, Güinther

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Saiki, Shinji

• Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Sair, Haris I.

• RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Saitta, Simone

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Salcudean, Septimiu E.

• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos
• Learning-based US-MR Liver Image Registration with Spatial Priors

Salehi, Mehrdad

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
• CACTUSS: Common Anatomical CT-US Space for US examinations

Salehi, Raheleh

• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Salehi, Seyed Sadegh Mohseni

• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Salekin, Md Sirajus

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Saltz, Joel

• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Salvado, Olivier

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Samaras, Dimitris

• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

San José Estépar, Raúl

• LiftReg: Limited Angle 2D/3D Deformable Registration

Sanchez, Pedro

• vMFNet: Compositionality Meets Domain-generalised Segmentation

Sandhu, Alexander

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Sandkühler, Robin

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
• Diffusion Models for Medical Anomaly Detection

Santa Cruz, Rodrigo

• CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Santander, Jessica

• Towards Holistic Surgical Scene Understanding

Santella, Anthony

• Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Santhirasekaram, Ainkaran

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Sarasua, Ignacio

• Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs
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Sarfraz, M. Saquib

• Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Sarhan, Mohammad Hasan

• Video-based Surgical Skills Assessment using Long term Tool Tracking

Sarkar, Ram

• Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI

Sarsenbayeva, Zhanna

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Sato, Imari

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention
• Graph-based Compression of Incomplete 3D Photoacoustic Data

Sato, Yoichi

• Surgical Skill Assessment via Video Semantic Aggregation

Sato, Yoshinobu

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Sauer, Benoît

• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Saunders, Fiona

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Sauty, Benoît

• Progression models for imaging data with Longitudinal Variational Auto Encoders

Savas, Recep

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Sawalha, Khalid

• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Sbarra, Maria Chiara

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Scalbert, Marin

• Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Scheinost, Dustin

• The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference
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Schiariti, Marco

• Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Schiefelbein, Johannes

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Schlaefer, Alexander

• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Schlemper, Jo

• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Schmidt, Adam

• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Schmidt-Erfurth, Ursula

• TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
• SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Schneider, Caitlin

• Learning-based US-MR Liver Image Registration with Spatial Priors

Schoeffmann, Klaus

• DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Schottenhamml, Julia

• A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Schousboe, John T.

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Schulz, Heinrich

• Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

Schwartz, Ernst

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Schweidtmann, Artur

• Efficient Bayesian Uncertainty Estimation for nnU-Net

Schönlieb, Carola-Bibiane

• Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Seenivasan, Lalithkumar

• Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Seibold, Constantin

• Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Seibold, Matthias

• Conditional Generative Data Augmentation for Clinical Audio Datasets

Sekiguchi, Hiroyuki

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Selvan, Raghavendra

• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Semenov, Yevgeniy R.

• Extended Electrophysiological Source Imaging with Spatial Graph Filters

Semmler, Marion

• Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Seyfioğlu, Mehmet Saygın

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Shah, Mian

• Weakly Supervised Volumetric Image Segmentation with Deformed Templates

Shaharabany, Tal

• End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction

Shahin, Ahmed H.

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Shaikh, Abbas

• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

Shang, Fangxin

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
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Shang, Xianwen

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Shao, Lei

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Shao, Wei

• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Shao, Yanbo

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Shao, Zhuchen

• Multiple Instance Learning with Mixed Supervision in Gleason Grading

Shapiro, Linda

• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Sharghi, Aidean

• Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Sharif, Naeha

• Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Sharma, Yash

• MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Shen, Bo

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Shen, Dinggang

• RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images
• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints
• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis
• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images
• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Shen, Junyong

• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Shen, Li

• Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Shen, Linlin

• Sample hardness based gradient loss for long-tailed cervical cell detection
• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

Shen, Lu

• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Shen, Ruolin

• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Shen, Xiaojing

• TBraTS: Trusted Brain Tumor Segmentation

Shen, Yiqing

• RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization

Shen, Yuming

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Shen, Yutian

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation
• Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Shen, Ziyi

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Sheng, Yaru

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Shi, Danli

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Shi, Fangyu

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Shi, Jiacheng

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Shi, Jun

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
• Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Shi, Luyue

• A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

Shi, Rui

• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Shi, Xiaoshuang

• Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Shi, Xiaoyu

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Shi, Xiaozhou

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Shi, Xinyu

• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Shi, Yiyu

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Shi, Yonggang

• Personalized dMRI Harmonization on Cortical Surface

Shi, Yu

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Shih, Shu-Fu

• A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Shimatani, Koji

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Shin, Inkyu

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Shin, Seung Yeon

• Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

Shin, Soyeon

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Shin, Yejee

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Shu, Hai

• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Shu, Huazhong

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Shuang, Xue

• Fine-grained Correlation Loss for Regression

Shui, Zhongyi

• End-to-End cell recognition by point annotation
• ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Shum, Hubert P. H.

• Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Shusharina, Nadya

• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Si, Liping

• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Simson, Walter

• CACTUSS: Common Anatomical CT-US Space for US examinations

Sinclair, Matthew

• MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Sindel, Aline

• Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Singh, Sadanand

• Deep is a Luxury We Don't Have

Singh, Sneha

• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Singla, Somanshu

• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Sinusas, Albert J.

• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Sirazitdinov, Ilyas

• Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

Sirinukunwattana, Korsuk

• Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Sitek, Arkadiusz

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Sitges, Marta

• Reinforcement learning for active modality selection during diagnosis

Siupka-Mróz, Damian

• Multi-task video enhancement for dental interventions

Snoek, Cees G. M.

• LifeLonger: A Benchmark for Continual Disease Classification

Sobirov, Ikboljon

• TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Sofka, Michal

• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Sohn, Dae Kyung

• Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Soleymani Baghshah, Mahdieh

• Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Son, Geonhui

• Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Son, Young-Don

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Song, Andrew H.

• Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Song, Boram

• GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Song, Chao

• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Song, Heon

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Song, In-Seok

• Morphology-Aware Interactive Keypoint Estimation

Song, Jingwei

• Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Song, Meng

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Song, Sifan

• Stepwise Feature Fusion: Local Guides Global

Song, Tao

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Song, Yang

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning
• Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Song, Yangda

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Song, Yuhui

• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Song, Zhijian

• DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Sonn, Geoffrey

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Sotheeswaran, Sittampalam

• Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Soufi, Mazen

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Sowmya, Arcot

• Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Speidel, Stefanie

• Stay focused - Enhancing model interpretability through guided feature training

Spindeldreier, Svenja

• A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

Spitzer, Hannah

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Staib, Lawrence H.

• Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
• Atlas-based Semantic Segmentation of Prostate Zones

Stamminger, Marc

• Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Stavrinides, Vasilis

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Stern, Antonia

• Stay focused - Enhancing model interpretability through guided feature training

Stiefelhagen, Rainer

• Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Stimmer, Lev

• Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Stolte, Skylar E.

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Stone, Maureen

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

Stoyanov, Danail

• Retrieval of surgical phase transitions using reinforcement learning
• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Ströbel, Philipp

• End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Su, Jason

• Deep is a Luxury We Don't Have

Su, Jionglong

• Stepwise Feature Fusion: Local Guides Global

Su, Ran

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Su, Ruolin

• Why patient data cannot be easily forgotten?

Sugano, Nobuhiko

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Sui, Bin

• DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging

Suk, Heung-Il

• Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis
• A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

Suk, Julian

• Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Suliman, Mohamed A.

• A Deep-Discrete Learning Framework for Spherical Surface Registration

Sullivan, Edith V.

• GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Summers, Ronald M.

• Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

Sun, Changming

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Sun, Hailong

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Sun, Jian

• Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

Sun, Jiarun

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Sun, Jiayin

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Sun, Jinghan

• Lesion Guided Explainable Few Weak-shot Medical Report Generation

Sun, Kai

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Sun, Litao

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Sun, Shanhui

• Invertible Sharpening Network for MRI Reconstruction Enhancement

Sun, Shoukun

• MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Sun, Xiaowu

• Transformer based feature fusion for left ventricle segmentation in 4D flow MRI
• Contrastive learning for echocardiographic view integration

Sun, Xiaoyi

• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Sun, Xu

• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Sun, Yi

• An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Sun, Yihua

• Rib Suppression in Digital Chest Tomosynthesis

Sun, Yu

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Sun, Yuxuan

• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Sun, Zheng

• Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation

Sun, Zizhao

• Transformer Based Multi-View Network for Mammographic Image Classification

Sundgaard, Josefine Vilsbøll

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Sung, Hyun Jung

• Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Sung, Nakjun

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Sur, Tanuj

• Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Suter, David

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Svoboda, David

• Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Swartman, Benedict

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Syed, Sana

• MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Syeda-Mahmood, Tanveer

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Szmul, Adam

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Sznitman, Raphael

• DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
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Sørensen, Kristine

• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Špiclin, Žiga

• Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Ta, Calvin-Khang

• Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Taha, Ahmed

• Deep is a Luxury We Don't Have

Tai, Ying

• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Taiello, Riccardo

• Privacy Preserving Image Registration

Takao, Masaki

• BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Takáč, Martin

• Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Talbot, Hugues

• Unsupervised Nuclei Segmentation using Spatial Organization Priors

Tamir, Jonathan I.

• FSE Compensated Motion Correction for MRI Using Data Driven Methods

Tan, Shuangyi

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation
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Tang, Feilong

• Stepwise Feature Fusion: Local Guides Global

Tang, Haiming

• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Tang, Jiulai

• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Tang, Mingkang

• A Medical Semantic-Assisted Transformer for Radiographic Report Generation

Tang, Wen

• Transformer Lesion Tracker
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Tang, Xiaoying

• Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
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Tang, Youbao

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Tang, Yucheng

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Tang, Zhenyu

• Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Tanwani, Ajay K.

• RepsNet: Combining Vision with Language for Automated Medical Reports

Tao, Guangyu

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Tao, Huiren

• A Self-Guided Framework for Radiology Report Generation

Tao, Jinsheng

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Tao, Qian

• Efficient Bayesian Uncertainty Estimation for nnU-Net
• DisQ: Disentangling Quantitative MRI Mapping of the Heart

Tao, Rong

• UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?
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Tao, Yubo

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Taschwer, Mario

• DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Tascon-Morales, Sergio

• Consistency-preserving Visual Question Answering in Medical Imaging

Tasu, Jean-Pierre

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Taubmann, Oliver

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Taymourtash, Athena

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Teichmann, Marvin

• End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Teng, Clare

• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data
• Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Teng, Lin

• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition

Teng, Xinzhi

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Teo, James T.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Thaler, Franz

• OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Thamm, Aleksandra

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Thamm, Florian

• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

Thanikasalam, Kokul

• Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Theis, Fabian J

• Noise transfer for unsupervised domain adaptation of retinal OCT images

Thermos, Spyridon

• vMFNet: Compositionality Meets Domain-generalised Segmentation

Thomas, Sarina

• Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

Thompson, Paul M.

• Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
• Predicting Spatio-Temporal Human Brain Response Using fMRI
• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression
• Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Thompson, Peter

• Automation of clinical measurements on radiographs of children's hips

Tian, Lin

• LiftReg: Limited Angle 2D/3D Deformable Registration

Tian, Qi

• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Tian, Tong

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Tian, Xuanyu

• Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

Tian, Yapeng

• DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging

Tian, Yu

• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Tian, Yuan

• Weakly Supervised Online Action Detection for Infant General Movements

Tilborghs, Sofie

• The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Timsit, Marc-Olivier

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

Tirindelli, Maria

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection

Tirumani, Sree Harsha

• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Tiulpin, Aleksei

• AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

To, Minh Nguyen Nhat

• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Tobias, Jonathan H.

• Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Tolkach, Yuri

• Federated Stain Normalization for Computational Pathology

Toloubidokhti, Maryam

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Tomar, Nikhil Kumar

• TGANet: Text-guided attention for improved polyp segmentation

Tombari, Federico

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

Tomczak, Agnieszka

• What can we learn about a generated image corrupting its latent representation?

Tompsett, Alison

• Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Tong, Raymond Kai-yu

• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Torr, Philip

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Tougeron, David

• Deep treatment response assessment and prediction of colorectal cancer liver metastases

Tourbier, Sébastien

• Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Tran, Manuel

• S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Tran, Trac D.

• Deep filter bank regression for super-resolution of anisotropic MR brain images

Trattnig, Siegfried

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Tringale, Kathryn

• Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Truong Vu, Yen Nhi

• Deep is a Luxury We Don't Have

Trzciński, Tomasz

• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Tsaftaris, Sotirios A.

• Why patient data cannot be easily forgotten?
• vMFNet: Compositionality Meets Domain-generalised Segmentation

Tsai, Chen-Han

• Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

Tsang, Teresa

• EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction
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Tsuji, Toshio

• Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Tuch, David

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Tudosiu, Petru-Daniel

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Tukra, Samyakh

• Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Tulabandhula, Theja

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Turconi, Eleonora

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Tyagi, Neelam

• Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

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• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Uemura, Keisuke

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Uhrig, Lynn

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Unat, Omer

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Unberath, Mathias

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• Unsupervised Nuclei Segmentation using Spatial Organization Priors
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Wang, Adam

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Wang, An

• Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Wang, Bin

• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition

Wang, Bingchuan

• End-to-End cell recognition by point annotation

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• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Wang, Changwei

• DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

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• Hand Hygiene Quality Assessment using Image-to-Image Translation

Wang, Chengjia

• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

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• AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Wang, Chengyan

• WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution
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• NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models
• Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Wang, Fang

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Wang, Ge

• Overlooked Trustworthiness of Saliency Maps

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• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Wang, Haoqian

• Multiple Instance Learning with Mixed Supervision in Gleason Grading

Wang, He

• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Wang, Hong

• Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Wang, Hongzhang

• Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Wang, Hongzhi

• Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Wang, Hu

• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Wang, Hua

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Wang, James Z.

• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images
• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
• Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Wang, Jiacheng

• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Wang, Jiale

• UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

Wang, Jianing

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Wang, Jianji

• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
• Rib Suppression in Digital Chest Tomosynthesis

Wang, Jinda

• Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Wang, Jinfeng

• Stepwise Feature Fusion: Local Guides Global

Wang, Jing

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Wang, Jingwen

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Wang, Jinhong

• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Wang, Jiyue

• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Wang, Jun

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Wang, Kai-Ni

• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Wang, Kuanquan

• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Wang, Lei

• A Medical Semantic-Assisted Transformer for Radiographic Report Generation

Wang, Lemeng

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Wang, Li

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Wang, Liansheng

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification
• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis
• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
• Lesion Guided Explainable Few Weak-shot Medical Report Generation
• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Wang, Lin

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
• Flexible Sampling for Long-tailed Skin Lesion Classification
• An Inclusive Task-Aware Framework for Radiology Report Generation

Wang, Linwei

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Wang, Manning

• DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Wang, Meng

• TBraTS: Trusted Brain Tumor Segmentation

Wang, Minghao

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Wang, Na

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Wang, Puyang

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Wang, Qian

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Wang, Qingzhong

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Wang, Qiong

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Wang, Qiuli

• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Wang, Renzhi

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Wang, Ruixuan

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Wang, Runze

• UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?
• Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

Wang, Sen

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Wang, Sheng

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis
• Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Wang, Shuo

• Trichomonas Vaginalis Segmentation in Microscope Images

Wang, Sihan

• Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Wang, Wei

• ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
• Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Wang, Weimin

• Surgical Skill Assessment via Video Semantic Aggregation

Wang, Xia

• Learning Incrementally to Segment Multiple Organs in a CT Image

Wang, Xiangdong

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Wang, Xiaosong

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Wang, Xin

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
• Flexible Sampling for Long-tailed Skin Lesion Classification

Wang, Xingyue

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Wang, Xinyue

• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Wang, Xuesong

• Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

Wang, Xunkun

• Trichomonas Vaginalis Segmentation in Microscope Images

Wang, Yan

• S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification
• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Wang, Yanfeng

• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Wang, Yanqing

• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Wang, Yaohong

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Wang, Yifeng

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images
• Multiple Instance Learning with Mixed Supervision in Gleason Grading

Wang, Ying

• Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Wang, Yingheng

• Graph Emotion Decoding from Visually Evoked Neural Responses

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• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Wang, Yixin

• On the Dataset Quality Control for Image Registration Evaluation
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Wang, Yu

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Wang, Yuanyuan

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Wang, Yuchen

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Wang, Yuehao

• Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Wang, Zeyu

• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Wang, Zhanyu

• A Medical Semantic-Assisted Transformer for Radiographic Report Generation

Wang, Zhaowei

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Wang, Zhenwei

• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
• Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Wang, Zhihui

• Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation
• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Wang, Zhiyong

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Deep Laparoscopic Stereo Matching with Transformers

Wang, Zhongxian

• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Wang, Zhongyuan

• Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Wang, Ziheng

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Wang, Ziyi

• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Warfield, Simon

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Wei, Bingzheng

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Wei, Dong

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
• Lesion Guided Explainable Few Weak-shot Medical Report Generation
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
• An Inclusive Task-Aware Framework for Radiology Report Generation

Wei, Hongjiang

• Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

Wei, Jing

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Wei, Jun

• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

Wei, Leyi

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Wei, Qingyue

• Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Wei, Wen B.

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Wein, Wolfgang

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
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Weiss, Kurt

• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Weitz, Jürgen

• Stay focused - Enhancing model interpretability through guided feature training

Weld, Alistair

• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Wells III, William M.

• On the Dataset Quality Control for Image Registration Evaluation
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Wen, Song

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Wen, Xuyun

• Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Wen, Ziqi

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Wendler, Thomas

• Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Werring, David

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Westin, Carl-Fredrik

• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

White, Jacob

• Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Wickramasinghe, Udaranga

• Weakly Supervised Volumetric Image Segmentation with Deformed Templates
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Widhalm, Georg

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

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Wiesner, David

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Williams, Logan Z. J.

• A Deep-Discrete Learning Framework for Spherical Surface Registration

Williamson, Drew F.K.

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Willis, Marc

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Wilms, Matthias

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Wilson, Paul

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Winder, Anthony

• Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

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• Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Wolf, Lior

• fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits
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Wolleb, Julia

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
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• Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Won, Jungeun

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Wong, Kelvin

• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
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Wong, Stephen T.C.

• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
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Wong, Tien-Tsin

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Woo, Jonghye

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
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Wood, Ruby

• Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Woods, Adam J.

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Worring, Marcel

• LifeLonger: A Benchmark for Continual Disease Classification

Wouters, Koen

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

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• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Wu, Chaoyi

• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Wu, Dan

• An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Wu, Dasheng

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Wu, Dijia

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

Wu, Fei

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

Wu, Fuping

• Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Wu, Guoqing

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Wu, Guorong

• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition
• How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks
• Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Wu, Huisi

• Sample hardness based gradient loss for long-tailed cervical cell detection

Wu, Jian

• Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation
• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Wu, Jie Ying

• CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Wu, Joy T.

• CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Wu, Jun

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Wu, Junde

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Wu, Junyang

• Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

Wu, Kun

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis

Wu, Lin

• Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Wu, Meijing

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Wu, Pengcheng

• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Wu, Qianyi

• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Wu, Qing

• Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

Wu, Wei

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Wu, Xi

• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Wu, Xiao-Jian

• Lesion-aware Dynamic Kernel for Polyp Segmentation

Wu, Xingwang

• Learning Incrementally to Segment Multiple Organs in a CT Image

Wu, Yawen

• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors
• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Wu, Yicheng

• Flexible Sampling for Long-tailed Skin Lesion Classification
• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Wu, Yinzhe

• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Wu, Yixuan

• Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Wu, Zhengwang

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Wu, Zhenhua

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation

Wu, Zhonghua

• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Wu, Zihao

• Embedding Human Brain Function via Transformer

Wu, Ziyan

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Węsierski, Daniel

• Multi-task video enhancement for dental interventions

Włódarczak, Krzysztof

• Multi-task video enhancement for dental interventions

Xia, Chao

• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Xia, Cong

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Xia, Ding

• Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Xia, James J.

• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Xia, Liming

• DisQ: Disentangling Quantitative MRI Mapping of the Heart

Xia, Wenjun

• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Xia, Yihao

• Personalized dMRI Harmonization on Cortical Surface

Xia, Yingda

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Xia, Yong

• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data
• Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation
• Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis
• DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Xia, Zhaoyang

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Xian, Min

• MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Xiang, Jinyi

• FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

Xiang, Li

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Xiang, Tian-Zhu

• Trichomonas Vaginalis Segmentation in Microscope Images

Xiang, Tianqi

• Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Xiao, Haonan

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Xiao, Jia

• Weakly Supervised Online Action Detection for Infant General Movements

Xiao, Jianghong

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Xiao, Jianyu

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Xiao, Jing

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Xiao, Li

• Learning Incrementally to Segment Multiple Organs in a CT Image

Xiao, Ruoxiu

• Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Xiao, Tingsong

• Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Xiao, Yi

• Rib Suppression in Digital Chest Tomosynthesis

Xiao, Zunjie

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Xie, Fang-Yun

• Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Xie, Fengying

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
• Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Xie, Huidong

• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Xie, Jinheng

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

Xie, Kunzi

• Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Xie, Qi

• Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Xie, Shaoan

• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Xie, Weidi

• Transforming the Interactive Segmentation for Medical Imaging
• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Xie, Xiao-Liang

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Xie, Xingran

• S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

Xie, Yanting

• Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

Xie, Yifan

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Xie, Yutong

• PET denoising and uncertainty estimation based on NVAE model using quantile regression loss
• Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Xing, Fangxu

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
• ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Xing, Fuyong

• Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection
• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

Xing, Xiaodan

• Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Xing, Xiaohan

• Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Xing, Zhaohu

• NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Xiong, Haoyi

• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Xiong, Yi

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Fine-grained Correlation Loss for Regression

Xiong, Zhiwei

• Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
• Efficient Biomedical Instance Segmentation via Knowledge Distillation
• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency
• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Xu, Chenchu

• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Xu, Chi

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Xu, Chundan

• Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

Xu, Daguang

• Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning
• Efficient population based hyperparameter scheduling for medical image segmentation
• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Xu, Dunyuan

• Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Xu, Haozheng

• Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Xu, Hongwei

• Transformer Based Multi-View Network for Mammographic Image Classification

Xu, Jiayu

• ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Xu, Jing

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Xu, Jun

• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Xu, Junshen

• SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Xu, Mengya

• Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
• Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Xu, Mou-Cheng

• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Xu, Rongtao

• DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

Xu, Rui

• LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
• Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation
• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Xu, Shibiao

• DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

Xu, Weijin

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Xu, Wenlong

• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Xu, Xiaowei

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Xu, Xiaoyin

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Xu, Xuanang

• Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Xu, Yan

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Xu, Yanwu

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations
• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection
• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Xu, Yikai

• Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Xu, Zhe

• On the Dataset Quality Control for Image Registration Evaluation
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Xu, Zhenlin

• iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Xu, Zhikang

• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Xu, Ziyue

• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Xuan, Kai

• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Xue, Peng

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Xue, Tengfei

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Xue, Yuan

• Deep filter bank regression for super-resolution of anisotropic MR brain images
• Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Xue, Zhong

• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Yagi, Takayuki

• Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Yakushev, Igor

• Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Yaldizli, Özgür

• Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Yan, Jiangpeng

• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

Yan, Ke

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding
• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Yan, Pingkun

• Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
• Overlooked Trustworthiness of Saliency Maps
• Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Yan, Rui

• Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Yan, Songlin

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Yan, Yuguang

• Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Yan, Zhennan

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Yang, Carl

• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Yang, Changchun

• Efficient Bayesian Uncertainty Estimation for nnU-Net
• DisQ: Disentangling Quantitative MRI Mapping of the Heart

Yang, Dalu

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Yang, Dawei

• Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Yang, Dong

• Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning
• Efficient population based hyperparameter scheduling for medical image segmentation
• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Yang, Fan

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Yang, Gang

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Yang, Guang

• Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
• CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Yang, Guang-Zhong

• CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

Yang, Guanyu

• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
• SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis
• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Yang, Haibo

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Yang, Haichun

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Yang, Han

• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Yang, Heran

• Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

Yang, Hongzheng

• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Yang, Huihua

• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Yang, Hyun-Lim

• Attention mechanisms for physiological signal deep learning: which attention should we take?

Yang, Jaeseung

• USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Yang, Jiancheng

• What Makes for Automatic Reconstruction of Pulmonary Segments
• Weakly Supervised Volumetric Image Segmentation with Deformed Templates
• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation
• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
• LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

Yang, Jiawei

• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Yang, Jie

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Yang, Kangning

• Hand Hygiene Quality Assessment using Image-to-Image Translation

Yang, Lei

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Yang, Lin

• End-to-End cell recognition by point annotation
• ChrSNet: Chromosome Straightening using Self-attention Guided Networks
• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Yang, Meng

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Yang, Min

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Yang, Mingming

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Yang, Qi

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Yang, Qianye

• Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Yang, Qiushi

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

Yang, Wei

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Yang, Wenming

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Yang, Xi

• Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Yang, Xin

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Online Reflective Learning for Robust Medical Image Segmentation
• Fine-grained Correlation Loss for Regression
• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
• Deep Motion Network for Freehand 3D Ultrasound Reconstruction
• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Yang, Yang

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening
• FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation
• Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Yang, Yanzhan

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Yang, Yehui

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Yang, Yixing

• Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Yang, Yuhuan

• Transforming the Interactive Segmentation for Medical Imaging

Yang, Zhaoxia

• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Yang, Zhixiong

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Yang, Ziyuan

• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Yao, Huifeng

• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Yao, Jianhua

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis
• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Yao, Jiawen

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Yao, Lina

• Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

Yao, Lisha

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Yao, Qingsong

• Rib Suppression in Digital Chest Tomosynthesis

Yao, Weiwu

• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Yap, Pew-Thian

• Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer
• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
• Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data
• DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

Yaqub, Mohammad

• TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
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• DRGen: Domain Generalization in Diabetic Retinopathy Classification

Yarra, Chiranjeevi

• mulEEG: A Multi-View Representation Learning on EEG Signals

Yasrab, Robail

• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Ye, Chuyang

• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
• Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation
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Ye, Jong Chul

• Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising
• Diffusion Deformable Model for 4D Temporal Medical Image Generation

Ye, Meng

• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Ye, Xianghua

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding
• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Ye, Xiaojing

• A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

Ye, Xinchen

• Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation
• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Ye, Yinyu

• Fine-grained Correlation Loss for Regression

Ye, Yiwen

• DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Yeganeh, Yousef

• Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Yeung, Pak-Hei

• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Yeung, Serena

• Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Yew, Wei Chee

• Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Yi, Jingru

• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Yin, Airu

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Yin, Lei

• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Yin, Minmin

• Learning Incrementally to Segment Multiple Organs in a CT Image

Ying, Guohao

• Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

Yoder, Josiah A.

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Yoon, Jihun

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

You, Chenyu

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
• Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

You, Jian

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

You, Kihyun

• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

You, Sunkyoung

• Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

Yu, Chengjin

• Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

Yu, Guangjun

• Weakly Supervised Online Action Detection for Infant General Movements

Yu, Haogang

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Yu, Hayeong

• Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Yu, Hong

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Yu, Ichen

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Yu, Jinhua

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Yu, Ke

• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Yu, Lequan

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification
• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
• NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Yu, Minhui

• Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Yu, Pengxin

• Transformer Lesion Tracker
• RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Yu, Rongshan

• Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Yu, Xiaowei

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Yu, Xin

• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Yu, Yiduo

• Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Yu, Yizhou

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Yu, Zhan

• Transformer Based Multi-View Network for Mammographic Image Classification

Yu, Zhen

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
• Flexible Sampling for Long-tailed Skin Lesion Classification

Yu, Ziqi

• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Yuan, Huishu

• MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Yuan, Wenguang

• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

Yuan, Xuedong

• TBraTS: Trusted Brain Tumor Segmentation

Yuan, Ye

• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation

Yuan, Yinyin

• DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Yuan, Yixuan

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization
• Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
• Intervention & Interaction Federated Abnormality Detection with Noisy Clients
• Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation
• Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis
• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Yue, Ling

• Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Yue, Xiaodong

• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Zachow, Stefan

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Zaffrani-Reznikov, Yael

• SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Zaman, Md Shakil

• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Zaman, Sameer

• Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Zambrano Chavez, Juan Manuel

• Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Zamzmi, Ghada

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Zaninovic, Nikica

• Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Zare, Samira

• Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis

Zekelman, Leo R.

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Zeng, Bowei

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images

Zeng, Dewen

• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Zeng, Lu

• Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Zeng, Pinxian

• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Zeng, Qi

• Learning-based US-MR Liver Image Registration with Spatial Priors

Zeng, Tianyi

• Supervised Deep Learning for Head Motion Correction in PET

Zeng, Wenwen

• Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Zeng, Xinyi

• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Zeng, Zeng

• Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Zenger, Brian

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
• Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Zettinig, Oliver

• PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
• Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Zha, Ruyi

• NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Zhai, Shuwei

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Zhan, Liang

• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
• Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
• Predicting Spatio-Temporal Human Brain Response Using fMRI
• Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Zhan, Yiqiang

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Zhang, Bojun

• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Zhang, Chaoyi

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Zhang, Chi

• Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations

Zhang, Chuncao

• Weakly Supervised Online Action Detection for Infant General Movements

Zhang, Daoqiang

• Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary
• Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis
• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors
• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Zhang, Defu

• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

Zhang, Dingwen

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Zhang, Dong

• Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework
• Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Zhang, Donghao

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Zhang, Fa

• Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Zhang, Fan

• White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
• TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Zhang, Hanwen

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Zhang, Hanxiao

• CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

Zhang, Hao

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Zhang, Haochen

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Zhang, Haoyue

• Transformer Lesion Tracker
• RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Zhang, Haozheng

• Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Zhang, Hongrun

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Zhang, Huahong

• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Zhang, Huimao

• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Zhang, Jiadong

• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Zhang, Jiajin

• Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
• Overlooked Trustworthiness of Saliency Maps

Zhang, Jian

• Multiple Instance Learning with Mixed Supervision in Gleason Grading

Zhang, Jiang

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Zhang, Jianguo

• Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Zhang, Jianpeng

• DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Zhang, Jiazhen

• Supervised Deep Learning for Head Motion Correction in PET
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
• Atlas-based Semantic Segmentation of Prostate Zones

Zhang, Jingwei

• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Zhang, Jingyang

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
• Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints
• Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Zhang, Jintan

• CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Zhang, Jiong

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Zhang, Jiyong

• Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

Zhang, Ke

• ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

Zhang, Le

• Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Zhang, Lei

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Zhang, Li

• What Makes for Automatic Reconstruction of Pulmonary Segments
• Data-Driven Deep Supervision for Skin Lesion Classification
• Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Zhang, Liangliang

• Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Zhang, Lichi

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Zhang, Lijuan

• Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Zhang, Lin-Sen

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

Zhang, Ling

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Zhang, Lu

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Zhang, Mengke

• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Zhang, Min

• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Zhang, Minghui

• CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

Zhang, Ning

• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Zhang, Qingchao

• A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

Zhang, Qinghua

• Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images

Zhang, Rongguo

• Transformer Lesion Tracker
• RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Zhang, Ruifei

• Lesion-aware Dynamic Kernel for Polyp Segmentation

Zhang, Ruimao

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Zhang, Ruisi

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Zhang, Shaoting

• Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Zhang, Shengjie

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Zhang, Shichuan

• End-to-End cell recognition by point annotation

Zhang, Shuai

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Zhang, Shuting

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Zhang, Tianyu

• Data-Driven Deep Supervision for Skin Lesion Classification

Zhang, Tuo

• Embedding Human Brain Function via Transformer

Zhang, Weiwen

• Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Zhang, Wentian

• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Zhang, Xiao

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

Zhang, Xiao-Yong

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Zhang, Xiaopeng

• DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

Zhang, Xiaoqing

• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Zhang, Xiaoqun

• MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation

Zhang, Xiatian

• Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Zhang, Xin

• Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
• Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
• Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Zhang, Xinxin

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Zhang, Xuanye

• A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

Zhang, Ya

• Transforming the Interactive Segmentation for Medical Imaging
• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Zhang, Yang

• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Zhang, Yanhao

• NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Zhang, Yao

• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Zhang, Yi

• An adaptive network with extragradient for diffusion MRI-based microstructure estimation
• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Zhang, Yidan

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Zhang, Yikun

• DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Zhang, Yitong

• Retrieval of surgical phase transitions using reinforcement learning

Zhang, Yiwen

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Zhang, Yizhe

• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
• Data-Driven Deep Supervision for Skin Lesion Classification

Zhang, Yongbing

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images
• Multiple Instance Learning with Mixed Supervision in Gleason Grading
• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Zhang, Yu

• Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease
• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
• Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography
• Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

Zhang, Yuan

• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Zhang, Yuanji

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Zhang, Yueyi

• Efficient Biomedical Instance Segmentation via Knowledge Distillation
• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Zhang, Yunlong

• ChrSNet: Chromosome Straightening using Self-attention Guided Networks
• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Zhang, Yuyao

• Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

Zhang, Zheng

• Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Zhang, Zhengwu

• Analyzing Brain Structural Connectivity as Continuous Random Functions

Zhang, Zhicheng

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Zhang, Ziyi

• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Zhangli, Qilong

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Zhao, An

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Zhao, Botao

• Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Zhao, Can

• Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Zhao, Cheng

• USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding

Zhao, Chongyue

• Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
• Predicting Spatio-Temporal Human Brain Response Using fMRI
• Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Zhao, Fenqiang

• Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Zhao, Gangming

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Zhao, He

• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Zhao, Jianchun

• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Zhao, Jiaxin

• Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Zhao, Liang

• SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
• DSR: Direct Simultaneous Registration for Multiple 3D Images

Zhao, Lin

• Invertible Sharpening Network for MRI Reconstruction Enhancement
• Embedding Human Brain Function via Transformer

Zhao, Pengju

• An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Zhao, Qi

• Using Guided Self-Attention with Local Information for Polyp Segmentation

Zhao, Qingyu

• Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
• A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Zhao, Ruihan

• Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Zhao, Shijie

• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
• Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Zhao, Shilin

• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Zhao, Shuang

• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Zhao, Xiaoying

• Learning Incrementally to Segment Multiple Organs in a CT Image

Zhao, Xin

• Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
• Flexible Sampling for Long-tailed Skin Lesion Classification

Zhao, Xinkai

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation

Zhao, Yanfeng

• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Zhao, Yao

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation
• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Zhao, Yidong

• Efficient Bayesian Uncertainty Estimation for nnU-Net
• DisQ: Disentangling Quantitative MRI Mapping of the Heart

Zhao, Yitian

• Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
• Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Zhao, Yu

• SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis
• ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Zhao, Yue

• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Zhao, Zechen

• Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

Zhao, Ziyuan

• Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Zhen, Chaojiong

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Zhen, Xiantong

• LifeLonger: A Benchmark for Continual Disease Classification

Zheng, Bo

• Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Zheng, Dandan

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Zheng, Guoyan

• UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?
• Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning
• Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning
• Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation
• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Zheng, Hanci

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Zheng, Hao

• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models

Zheng, Jian-Qing

• Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Zheng, Jiangbin

• Semi-supervised histological image segmentation via hierarchical consistency enforcement

Zheng, Jiayin

• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Zheng, Meng

• Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Zheng, Qingqing

• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data
• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Zheng, Shuai

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation
• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Zheng, Shuang

• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Zheng, Sunyi

• End-to-End cell recognition by point annotation
• ChrSNet: Chromosome Straightening using Self-attention Guided Networks
• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Zheng, Tianshu

• An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Zheng, Wei-shi

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Zheng, Weihao

• An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Zheng, Wenhao

• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Zheng, Yalin

• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

Zheng, Yaojia

• Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Zheng, Yefeng

• Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
• Orientation-Shared Convolution Representation for CT Metal Artifact Learning
• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
• Lesion Guided Explainable Few Weak-shot Medical Report Generation
• Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data
• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
• An Inclusive Task-Aware Framework for Radiology Report Generation
• A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Zheng, Yinqiang

• Graph-based Compression of Incomplete 3D Photoacoustic Data

Zheng, Yushan

• Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
• Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Zhi, Shaohua

• Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Zhong, Fangxun

• AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Zhong, Liming

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Zhong, Xiaodong

• A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Zhong, Yiran

• Deep Laparoscopic Stereo Matching with Transformers

Zhou, Bo

• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
• Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
• ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Zhou, Dan

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Zhou, Fangcheng

• Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Zhou, Guang-Quan

• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Zhou, Hangqi

• Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Zhou, Hong-Yu

• ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Zhou, Houliang

• Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Zhou, Jian

• Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Zhou, Jianqiao

• Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Zhou, Jiliu

• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Zhou, Luping

• A Medical Semantic-Assisted Transformer for Radiographic Report Generation
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Zhou, Mu

• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Zhou, Ping

• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Zhou, Qian

• Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Zhou, Qin

• Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

Zhou, Qizheng

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
• A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Zhou, S. Kevin

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation
• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
• Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
• SATr: Slice Attention with Transformer for Universal Lesion Detection
• Rib Suppression in Digital Chest Tomosynthesis
• Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation
• Learning Incrementally to Segment Multiple Organs in a CT Image
• BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations
• Aggregative Self-Supervised Feature Learning from Limited Medical Images

Zhou, Tao

• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Zhou, Wei

• RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Zhou, Wenshuo

• Opinions Vary? Diagnosis First!
• Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Zhou, Wenxue

• Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Zhou, Wu

• Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Zhou, Xiao-Hu

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Zhou, Xinrui

• Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
• Online Reflective Learning for Robust Medical Image Segmentation
• Fine-grained Correlation Loss for Regression

Zhou, Yan-Jie

• DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
• A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

Zhou, Yi

• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Zhou, Yu

• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Zhou, Yuan

• 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

Zhou, Yuanfeng

• Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Zhou, Yuanping

• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Zhou, Yukun

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI
• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Zhu, Chenglu

• End-to-End cell recognition by point annotation
• ChrSNet: Chromosome Straightening using Self-attention Guided Networks
• Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Zhu, Chengzhang

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Zhu, Dajiang

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
• Embedding Human Brain Function via Transformer

Zhu, Huiyuan

• AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Zhu, Jiuwen

• Aggregative Self-Supervised Feature Learning from Limited Medical Images

Zhu, Lei

• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network
• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
• NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images
• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Zhu, Meilu

• Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Zhu, Min

• Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Zhu, Qi

• Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis
• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Zhu, Qiang

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

Zhu, Qikui

• SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation
• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Zhu, Qiuchen

• Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Zhu, Wei

• Federated Medical Image Analysis with Virtual Sample Synthesis

Zhu, Xiaofeng

• Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Zhu, Xiaohong

• Learning Incrementally to Segment Multiple Organs in a CT Image

Zhu, Yanqiao

• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Zhu, Ye

• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Zhu, Yinsu

• SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis

Zhu, Yongpei

• Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Zhu, Yuran

• Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

Zhu, Zhenfeng

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation
• Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Zhu, Zhonghang

• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

Zhu, Zhuotun

• Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

Zhuang, Shuaishuai

• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Zhuang, Xiahai

• ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
• Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
• Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Zhuang, Zixu

• Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Zhuo, Cheng

• RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Zhuo, Jiachen

• Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

Zhuo, Zhizheng

• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Zisserman, Andrew

• Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Zou, Beiji

• Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Zou, Congyu

• Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Zou, Hua

• Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Zou, Ke

• TBraTS: Trusted Brain Tumor Segmentation

Zou, Qing

• Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Zou, Yiwen

• Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Zou, Yuxin

• Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Zu, Chen

• Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
• Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
• 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Zucker, Evan

• Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Zuo, Yingli

• Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

da Costa Zemsch, Maria Luise

• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

da Costa, Pedro F.

• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

de Graaf, Robin

• Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

de Groot, Marius

• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

the INTERGROWTH-21st Consortium

• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

van Beek, Frouke

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

van Es, Hendrik W.

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

van Herk, Marcel

• Automatic identification of segmentation errors for radiotherapy using geometric learning

van Kaick, Oliver

• Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

van Moorsel, Coline H.M.

• Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

van Sonsbeek, Tom

• LifeLonger: A Benchmark for Continual Disease Classification

van der Geest, Rob J.

• Transformer based feature fusion for left ventricle segmentation in 4D flow MRI
• Contrastive learning for echocardiographic view integration

Önen, Melek

• Privacy Preserving Image Registration

Örnek, Evin Pınar

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

Özsoy, Ege

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling