List of Papers

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

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

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

• 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

• 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions

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

• A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy

• A coupled-mechanisms modelling framework for neurodegeneration

• A denoised Mean Teacher for domain adaptive point cloud registration

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

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

• A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

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

• A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images

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

• A Multi-Task Method for Immunofixation Electrophoresis Image Classification

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

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

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

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

• A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration

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

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

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

• A Sheaf Theoretic Perspective for Robust Prostate Segmentation

• A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding

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

• A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

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

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

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

• A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization

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

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

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

• Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera

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

• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

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

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

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

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

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

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

• Additional Positive Enables Better Representation Learning for Medical Images

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

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

• AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling

• Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

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

• AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

• AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor

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

• An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark

• An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway

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

• An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

• An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

• An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography

• An Unsupervised Multispectral Image Registration Network for Skin Diseases

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

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

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

• Anatomy-Driven Pathology Detection on Chest X-rays

• Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

• Aneurysm Pose Estimation with Deep Learning

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

• Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

• Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation

• AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes

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

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

• Artifact Restoration in Histology Images with Diffusion Probabilistic Models

• ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation

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

• Assignment Theory-Augmented Neural Network for Dental Arch Labeling

• Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

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

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

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

• Automated CT Lung Cancer Screening Workflow using 3D Camera

• Automatic Bleeding Risk Rating System of Gastric Varices

• Automatic Retrieval of Corresponding US Views in Longitudinal Examinations

• Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning

• Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network

• B-Cos Aligned Transformers Learn Human-Interpretable Features

• BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

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

• Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

• BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

• Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation

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

• Boundary Difference Over Union Loss For Medical Image Segmentation

• Boundary-weighted logit consistency improves calibration of segmentation networks

• Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

• BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

• Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

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

• Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction

• Can point cloud networks learn statistical shape models of anatomies?

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

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

• CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees

• Category-independent Visual Explanation for Medical Deep Network Understanding

• Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

• CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

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

• CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification

• CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation

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

• Certification of Deep Learning Models for Medical Image Segmentation

• Chest X-ray Image Classification: A Causal Perspective

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

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

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

• Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification

• Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation

• Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

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

• CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

• Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

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

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

• Co-assistant Networks for Label Correction

• Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning

• CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

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

• Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images

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

• Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

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

• Community-Aware Transformer for Autism Prediction in fMRI Connectome

• Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

• Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

• Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment

• Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

• Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

• Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling

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

• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

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

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

• Contrastive Feature Decoupling for Weakly-supervised Disease Detection

• Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning

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

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

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

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

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

• CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph

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

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

• COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities

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

• Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

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

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

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

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

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

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

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

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

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

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

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

• DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation

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

• Debiasing Medical Visual Question Answering via Counterfactual Training

• Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

• Decoupled Consistency for Semi-supervised Medical Image Segmentation

• DeDA: Deep Directed Accumulator

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

• Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

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

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

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

• Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation

• Deep probability contour framework for tumour segmentation and dose painting in PET images

• Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

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

• DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics

• DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data

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

• Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

• Deployment of Image Analysis Algorithms under Prevalence Shifts

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

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

• Detection of basal cell carcinoma in whole slide images

• Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images

• Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images

• Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner

• Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation

• DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

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

• DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

• Differentiable Beamforming for Ultrasound Autofocusing

• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

• DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

• DiffULD: Diffusive Universal Lesion Detection

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

• Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI

• Diffusion Transformer U-Net for Medical Image Segmentation

• Diffusion-based Data Augmentation for Nuclei Image Segmentation

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

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

• DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration

• DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning

• DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

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

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

• Distilling BlackBox to Interpretable models for Efficient Transfer Learning

• Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI

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

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

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

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

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

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

• Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation

• DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

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

• Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

• Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty

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

• Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification

• Dynamic Functional Connectome Harmonics

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

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

• EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

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

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

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

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

• Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery

• Efficient Subclass Segmentation in Medical Images

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

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

• Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation

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

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

• Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation

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

• Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

• EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation

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

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

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

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

• Evolutionary normalization optimization boosts semantic segmentation network performance

• Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation

• Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models

• Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach

• Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

• Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen

• Factor Space and Spectrum for Medical Hyperspectral Image Segmentation

• FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

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

• Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images

• Fast Reconstruction for Deep Learning PET Head Motion Correction

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

• FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation

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

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

• Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

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

• FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

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

• FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis

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

• Few Shot Medical Image Segmentation with Cross Attention Transformer

• Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

• Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss

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

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

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

• Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions

• FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

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

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

• Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization

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

• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

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

• FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction

• Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

• From Mesh Completion to AI Designed Crown

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

• From Tissue to Sound: Model-based Sonification of Medical Imaging

• FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

• Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising

• Fully Bayesian VIB-DeepSSM

• Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

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

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

• Gene-induced Multimodal Pre-training for Image-omic Classification

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

• Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

• Geometric Ultrasound Localization Microscopy

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

• Geometry-invariant abnormality detection

• GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

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

• GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos

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

• Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels

• Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification

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

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

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

• Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images

• H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment

• HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis

• HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

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

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

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

• Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images

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

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

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

• Histopathology Image Classification using Deep Manifold Contrastive Learning

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

• How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging?

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

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

• Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions

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

• Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

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

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

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

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

• Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

• Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

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

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

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

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

• Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

• Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

• Infusing physically inspired known operators in deep models of ultrasound elastography

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

• Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

• Intelligent Virtual B-scan Mirror (IVBM)

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

• Interpretable Medical Image Classification using Prototype Learning and Privileged Information

• Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning

• Intraoperative CT augmentation for needle-based liver interventions

• Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields

• Inverse Consistency by Construction for Multistep Deep Registration

• InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model

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

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

• JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

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

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

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

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

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

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

• L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

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

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

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

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

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

• Learnable Query Initialization for Surgical Instrument Instance Segmentation

• Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis

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

• Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis

• Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

• Learning Expected Appearances for Intraoperative Registration during Neurosurgery

• Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

• Learning normal asymmetry representations for homologous brain structures

• Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation

• Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models

• Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk

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

• Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-Site Structural MRI

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

• Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis

• LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

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

• Localized Questions in Medical Visual Question Answering

• Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation

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

• LOTUS: Learning to Optimize Task-based US representations

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

• LSOR: Longitudinally-Consistent Self-Organized Representation Learning

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

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

• M3D-NCA: Robust 3D Segmentation with Built-in Quality Control

• Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging

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

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

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

• Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images

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

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

• Maximum-entropy estimation of joint relaxation-diffusion distribution using multi-TE diffusion MRI

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

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

• MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation

• Medical Boundary Diffusion Model for Skin Lesion Segmentation

• Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking

• MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

• Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection

• MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

• Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

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

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

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

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

• Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments

• Minimal-supervised Medical Image Segmentation via Vector Quantization Memory

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

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

• Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

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

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

• Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis

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

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

• Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks

• ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

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

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

• Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

• Motion Compensated Unsupervised Deep Learning for 5D MRI

• MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

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

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

• MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation

• Multi-Head Multi-Loss Model Calibration

• Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

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

• Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

• Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study

• Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis

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

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

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

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

• Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction

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

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

• Multi-Scale Prototypical Transformer for Whole Slide Image Classification

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

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

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

• MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

• Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

• Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development

• Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

• Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence

• Multi-View Vertebra Localization and Identification from CT Images

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

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

• Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

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

• NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

• NISF: Neural Implicit Segmentation Functions

• Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising

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

• Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration

• Nonuniformly Spaced Control Points based on Variational Cardiac Image Registration

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

• One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation

• One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification

• OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

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

• Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue

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

• Optimizing the 3D Plate Shape for Proximal Humerus Fractures

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

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

• Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning

• Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment

• PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network

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

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

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

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

• Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

• Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints

• Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network

• Performance Metrics for Probabilistic Ordinal Classifiers

• Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimer's Disease

• PET Image Denoising with Score-Based Diffusion Probabilistic Models

• PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model

• Physics-based Decoding Improves Magnetic Resonance Fingerprinting

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

• Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography

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

• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

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

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

• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

• Point Cloud Diffusion Models for Automatic Implant Generation

• Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation

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

• Position-aware masked autoencoder for histopathology WSI representation learning

• Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis

• POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

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

• Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet

• Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning

• Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping

• Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement

• Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition

• Privacy-preserving Early Detection of Epileptic Seizures in Videos

• Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation

• Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening

• Progressively Coupling Network for Brain MRI Registration in Few-shot Situation

• Prompt-based Grouping Transformer for Nucleus Detection and Classification

• Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

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

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

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

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

• Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

• Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting

• RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization

• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

• Realistic endoscopic illumination modeling for NeRF-based data generation

• Reconstructing the Hemodynamic Response Function via a Bimodal Transformer

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

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

• Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

• Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography

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

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

• Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture

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

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

• RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform

• Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data

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

• Retinal Thickness Prediction from Multi-modal Fundus Photography

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

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

• Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

• Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery

• Revisiting Feature Propagation and Aggregation in Polyp Segmentation

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

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

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

• Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement

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

• Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus

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

• Robust Segmentation via Topology Violation Detection and Feature Synthesis

• Robust T-Loss for Medical Image Segmentation

• Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks

• S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

• S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

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

• SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation

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

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

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

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

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

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

• SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos

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

• Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations

• Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

• SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation

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

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

• Self-adaptive Adversarial Training for Robust Medical Segmentation

• Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

• Self-distillation for surgical action recognition

• Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data

• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

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

• Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning

• Self-Supervised Learning for Endoscopic Video Analysis

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

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

• Self-Supervised MRI Reconstruction with Unrolled Diffusion Models

• Self-Supervised Polyp Re-Identification in Colonoscopy

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

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

• Semantic segmentation of surgical hyperspectral images under geometric domain shifts

• Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery

• Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

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

• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions

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

• SFusion: Self-attention based N-to-One Multimodal Fusion Block

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

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

• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

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

• SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI

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

• Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction

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

• Skin Lesion Correspondence Localization in Total Body Photography

• SLPD: Slide-level Prototypical Distillation for WSIs

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

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

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

• Soft-tissue Driven Craniomaxillofacial Surgical Planning

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

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

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

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

• Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change

• Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

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

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

• SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases

• StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-Ensemble

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

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

• Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation

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

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

• Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation

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

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

• Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions

• Surgical Activity Triplet Recognition via Triplet Disentanglement

• Surgical Video Captioning with Mutual-Modal Concept Alignment

• SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

• SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

• SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation

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

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

• Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

• Synthetic Augmentation with Large-scale Unconditional Pre-training

• TabAttention: Learning Attention Conditionally on Tabular Data

• TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation

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

• TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope

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

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

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

• Text-guided Foundation Model Adaptation for Pathological Image Classification

• The Role of Subgroup Separability in Group-Fair Medical Image Classification

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

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

• Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

• Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

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

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

• Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

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

• Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

• Towards frugal unsupervised detection of subtle abnormalities in medical imaging

• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

• Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning

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

• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation

• Trackerless Volume Reconstruction from Intraoperative Ultrasound Images

• Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy

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

• Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors

• Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation

• Transformer-based Annotation Bias-aware Medical Image Segmentation

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

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

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

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

• TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation

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

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

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

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

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

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

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

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

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

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

• Uncertainty Inspired Autism Spectrum Disorder Screening

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

• Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography

• Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases

• Understanding Silent Failures in Medical Image Classification

• Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations

• Unified surface and volumetric inference on functional imaging data

• UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner

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

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

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

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

• Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features

• Unsupervised Domain Adaptation for Anatomical Landmark Detection

• Unsupervised Domain Transfer with Conditional Invertible Neural Networks

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

• UOD: Universal One-shot Detection of Anatomical Landmarks

• UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

• Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

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

• UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network

• Vertex Correspondence in Cortical Surface Reconstruction

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

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

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

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

• Vision Transformer based Multi-Class Lesion Detection in IVOCT

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

• Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction

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

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

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

• Wasserstein Distance-Preserving Vector Space of Persistent Homology

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

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

• Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization

• Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery

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

• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

• What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection

• Whole-Heart Reconstruction with Explicit Topology Integrated Learning

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

• Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis

• X-Ray to CT Rigid Registration Using Scene Coordinate Regression

• YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection

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

• You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

• Zero-shot Nuclei Detection via Visual-Language Pre-trained Models