List of Papers by Subject Areas

Biomedical Image Computing for Neglected Diseases

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs

CS3: Cascade SAM for Sperm Segmentation

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Interpretable phenotypic profiling of 3D cellular morphodynamics

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

URCDM: Ultra-Resolution Image Synthesis in Histopathology

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Clinical Implementation and Monitoring of Imaging Solutions

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Large-Scale 3D Infant Face Model

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Textual Inversion and Self-supervised Refinement for Radiology Report Generation

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Clinical applications - Abdomen

A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

Embracing Massive Medical Data

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

From Pixel to Cancer: Cellular Automata in Computed Tomography

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

MMQL: Multi-Question Learning for Medical Visual Question Answering

Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

One registration is worth two segmentations

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Clinical applications - Breast

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Longitudinal Mammogram Risk Prediction

M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Clinical applications - Cardiac

Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoNarrator: Generating natural text explanations for ejection fraction predictions

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Goal-conditioned reinforcement learning for ultrasound navigation guidance

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

One registration is worth two segmentations

Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Real-world Visual Navigation for Cardiac Ultrasound View Planning

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Spatio-temporal neural distance fields for conditional generative modeling of the heart

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Clinical applications - Dermatology

AcneAI: A new acne severity assessment method using digital images and deep learning

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

BiasPruner: Debiased Continual Learning for Medical Image Classification

BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Shortcut Learning in Medical Image Segmentation

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Universal Semi-Supervised Learning for Medical Image Classification

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Clinical applications - Fetal Imaging

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video

Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation

Shortcut Learning in Medical Image Segmentation

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Zoom Pattern Signatures for Fetal Ultrasound Structures

Clinical applications - Lung

Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Airway segmentation based on topological structure enhancement using multi-task learning

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

MRScore: Evaluating Medical Report with LLM-based Reward System

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Clinical applications - Musculoskeletal

Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Automated Spinal MRI Labelling from Reports Using a Large Language Model

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation

IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

On predicting 3D bone locations inside the human body

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Clinical applications - Neuroimaging - Brain Development

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Customized Relationship Graph Neural Network for Brain Disorder Identification

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development

Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Clinical applications - Neuroimaging - DWI and Tractography

Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

TractOracle: towards an anatomically-informed reward function for RL-based tractography

Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Clinical applications - Neuroimaging - Functional Brain Networks

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Affinity Learning Based Brain Function Representation for Disease Diagnosis

BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Customized Relationship Graph Neural Network for Brain Disorder Identification

D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning

GBT: Geometric-oriented Brain Transformer for Autism Diagnosis

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Topological Cycle Graph Attention Network for Brain Functional Connectivity

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Clinical applications - Neuroimaging - Others

7T MRI Synthesization from 3T Acquisitions

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

A task-conditional mixture-of-experts model for missing modality segmentation

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

An approach to building foundation models for brain image analysis

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Evaluating the Quality of Brain MRI Generators

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

In vivo deep learning estimation of diffusion coefficients of nanoparticles

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Simulation Based Inference for PET iterative reconstruction

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Two Projections Suffice for Cerebral Vascular Reconstruction

Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Voxel Scene Graph for Intracranial Hemorrhage

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Clinical applications - Oncology

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

A framework for assessing joint human-AI systems based on uncertainty estimation

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Automated Spinal MRI Labelling from Reports Using a Large Language Model

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

HuLP: Human-in-the-Loop for Prognosis

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

One registration is worth two segmentations

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Simulation Based Inference for PET iterative reconstruction

SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Clinical applications - Ophthalmology

A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation

Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

FairDiff: Fair Segmentation with Point-Image Diffusion

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation

Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter

RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Universal Semi-Supervised Learning for Medical Image Classification

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Clinical applications - Vascular

3D Vessel Graph Generation Using Denoising Diffusion

3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Centerline Boundary Dice Loss for Vascular Segmentation

Differentiable Soft Morphological Filters for Medical Image Segmentation

DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Self-supervised 3D Skeleton Completion for Vascular Structures

Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Topologically faithful multi-class segmentation in medical images

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Two Projections Suffice for Cerebral Vascular Reconstruction

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Computational (Integrative) Pathology

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

Convolutional Implicit Neural Representation of pathology whole-slide images

Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Decoding the visual attention of pathologists to reveal their level of expertise

Deep Volume Reconstruction from Multi-focus Microscopic Images

Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Hard Negative Sample Mining for Whole Slide Image Classification

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Integrating Clinical Knowledge into Concept Bottleneck Models

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Leveraging Image Captions for Selective Whole Slide Image Annotation

Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

PathoTune: Adapting Visual Foundation Model to Pathological Specialists

PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction

Prompting Whole Slide Image Based Genetic Biomarker Prediction

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Rethinking Cell Counting Methods: Decoupling Counting and Localization

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

Towards a text-based quantitative and explainable histopathology image analysis

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Computational Anatomy and Physiology

A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Development of Effective Connectome from Infancy to Adolescence

On predicting 3D bone locations inside the human body

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Towards Explainable Automated Neuroanatomy

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Computer Aided Diagnosis, Treatment Response, and Outcome Prediction

3D Spine Shape Estimation from Single 2D DXA

A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

A framework for assessing joint human-AI systems based on uncertainty estimation

A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

AcneAI: A new acne severity assessment method using digital images and deep learning

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Affinity Learning Based Brain Function Representation for Disease Diagnosis

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Aligning Medical Images with General Knowledge from Large Language Models

An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

Anatomical Structure-Guided Medical Vision-Language Pre-training

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Automated Spinal MRI Labelling from Reports Using a Large Language Model

BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Cephalometric Landmark Detection across Ages with Prototypical Network

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Controllable Counterfactual Generation for Interpretable Medical Image Classification

Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Customized Relationship Graph Neural Network for Brain Disorder Identification

Decoding the visual attention of pathologists to reveal their level of expertise

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

DeepRepViz: Identifying potential confounders in deep learning model predictions

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Detecting noisy labels with repeated cross-validations

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Evaluating the Fairness of Neural Collapse in Medical Image Classification

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Hard Negative Sample Mining for Whole Slide Image Classification

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

HuLP: Human-in-the-Loop for Prognosis

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Large-Scale 3D Infant Face Model

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Longitudinal Mammogram Risk Prediction

Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation

M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Med-Former: A Transformer based Architecture for Medical Image Classification

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

MMQL: Multi-Question Learning for Medical Visual Question Answering

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

MRScore: Evaluating Medical Report with LLM-based Reward System

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

On predicting 3D bone locations inside the human body

ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Prior Activation Map Guided Cervical OCT Image Classification

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image

Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Spot the Difference: Difference Visual Question Answering with Residual Alignment

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing

TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction

Textual Inversion and Self-supervised Refinement for Radiology Report Generation

The MRI Scanner as a Diagnostic: Image-less Active Sampling

TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Towards a Deeper insight into Face Detection in Neonatal wards

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

Human-centred AI in Medical Imaging

A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Decoding the visual attention of pathologists to reveal their level of expertise

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoNarrator: Generating natural text explanations for ejection fraction predictions

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Few-Shot Domain Adaptive Object Detection for Microscopic Images

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Large-Scale 3D Infant Face Model

LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Weakly-supervised Medical Image Segmentation with Gaze Annotations

Image Formation and Reconstruction

3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

All-In-One Medical Image Restoration via Task-Adaptive Routing

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Convolutional Implicit Neural Representation of pathology whole-slide images

Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Cross-conditioned Diffusion Model for Medical Image to Image Translation

Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Deep Volume Reconstruction from Multi-focus Microscopic Images

Deform-Mamba Network for MRI Super-Resolution

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Evaluating the Quality of Brain MRI Generators

Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Joint EM Image Denoising and Segmentation with Instance-aware Interaction

k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Large-Scale 3D Infant Face Model

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation

Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Privacy Protection in MRI Scans Using 3D Masked Autoencoders

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior

Region Attention Transformer for Medical Image Restoration

Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Simulation Based Inference for PET iterative reconstruction

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Two Projections Suffice for Cerebral Vascular Reconstruction

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Image Registration

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration

DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Large-Scale 3D Infant Face Model

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery

NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

On predicting 3D bone locations inside the human body

One registration is worth two segmentations

Online learning in motion modeling for intra-interventional image sequences

On-the-Fly Guidance Training for Medical Image Registration

Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

uniGradICON: A Foundation Model for Medical Image Registration

WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Image Segmentation

3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

A task-conditional mixture-of-experts model for missing modality segmentation

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Airway segmentation based on topological structure enhancement using multi-task learning

AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Anatomy-guided Pathology Segmentation

ASPS: Augmented Segment Anything Model for Polyp Segmentation

Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Black-Box Adaptation for Medical Image Segmentation

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Causal Intervention for Brain tumor Segmentation

CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Centerline Boundary Dice Loss for Vascular Segmentation

Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Class and Region-Adaptive Constraints for Network Calibration

Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

CS3: Cascade SAM for Sperm Segmentation

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Curriculum Prompting Foundation Models for Medical Image Segmentation

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation

DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Differentiable Soft Morphological Filters for Medical Image Segmentation

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment

Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation

Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning

Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Embracing Massive Medical Data

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models

Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

FairDiff: Fair Segmentation with Point-Image Diffusion

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

From Pixel to Cancer: Cellular Automata in Computed Tomography

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation

HyperSpace: Hypernetworks for spacing-adaptive image segmentation

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation

Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Let Me DeCode You: Decoder Conditioning with Tabular Data

Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts

MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars

MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation

ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation

mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

Multi-scale Region-aware Implicit Neural Network for Medical Images Matting

Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

On predicting 3D bone locations inside the human body

One registration is worth two segmentations

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Polyp-Mamba: Polyp Segmentation with Visual Mamba

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation

Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Quest for Clone: Test-time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency

SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Shortcut Learning in Medical Image Segmentation

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

SynCellFactory: Generative Data Augmentation for Cell Tracking

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

TextPolyp: Point-supervised Polyp Segmentation with Text Cues

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Topologically faithful multi-class segmentation in medical images

Towards a Deeper insight into Face Detection in Neonatal wards

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Unsupervised Training of Neural Cellular Automata on Edge Devices

VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Weakly-supervised Medical Image Segmentation with Gaze Annotations

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Image-Guided Interventions and Surgery

3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

One registration is worth two segmentations

PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection

SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Topological SLAM in colonoscopies leveraging deep features and topological priors

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Two Projections Suffice for Cerebral Vascular Reconstruction

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Image-based Personalised Medicine

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Large-Scale 3D Infant Face Model

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

The MRI Scanner as a Diagnostic: Image-less Active Sampling

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Imaging Solutions for Vulnerable and Under-represented Populations

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

FairDiff: Fair Segmentation with Point-Image Diffusion

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

Large-Scale 3D Infant Face Model

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Imaging-related Clinical Studies

3D Spine Shape Estimation from Single 2D DXA

A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

CS3: Cascade SAM for Sperm Segmentation

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Longitudinal Mammogram Risk Prediction

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Modeling and Understanding Uncertainty in Medical Image Classification

MRScore: Evaluating Medical Report with LLM-based Reward System

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation

Prior Activation Map Guided Cervical OCT Image Classification

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Integration of Imaging with Non-Imaging Biomarkers

A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Automated Spinal MRI Labelling from Reports Using a Large Language Model

Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Mitigating attribute amplification in counterfactual image generation

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Interventional Imaging Systems

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Two Projections Suffice for Cerebral Vascular Reconstruction

Interventional Simulation Systems

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Towards realistic needle insertion training simulator using partitioned model order reduction

Low-cost and Point-of-care Imaging Solutions

A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Large-Scale 3D Infant Face Model

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

The MRI Scanner as a Diagnostic: Image-less Active Sampling

Two Projections Suffice for Cerebral Vascular Reconstruction

Unsupervised Training of Neural Cellular Automata on Edge Devices

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

MIC and CAI Solutions for Minimally Trained Healthcare Workers

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Real-world Visual Navigation for Cardiac Ultrasound View Planning

STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

MIC and CAI Solutions for Remote and Rural Regions

A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

MIC and CAI for Limited-resource Settings

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

HistoSyn: Histomorphology-Focused Pathology Image Synthesis

HyperSpace: Hypernetworks for spacing-adaptive image segmentation

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Leveraging Image Captions for Selective Whole Slide Image Annotation

LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

The MRI Scanner as a Diagnostic: Image-less Active Sampling

TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Machine Learning - Active Learning

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Leveraging Image Captions for Selective Whole Slide Image Annotation

OSAL-ND: Open-set Active Learning for Nucleus Detection

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Machine Learning - Algorithmic Fairness

Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

BiasPruner: Debiased Continual Learning for Medical Image Classification

Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

DeepRepViz: Identifying potential confounders in deep learning model predictions

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Evaluating the Fairness of Neural Collapse in Medical Image Classification

Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

FairDiff: Fair Segmentation with Point-Image Diffusion

FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Mitigating attribute amplification in counterfactual image generation

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Machine Learning - Attention models

A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Deform-Mamba Network for MRI Super-Resolution

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

Hierarchical multiple instance learning for COPD grading with relatively specific similarity

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Interpretable phenotypic profiling of 3D cellular morphodynamics

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Longitudinal Mammogram Risk Prediction

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation

Med-Former: A Transformer based Architecture for Medical Image Classification

MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Topological Cycle Graph Attention Network for Brain Functional Connectivity

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Machine Learning - Continual Learning

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

BiasPruner: Debiased Continual Learning for Medical Image Classification

Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

DeepRepViz: Identifying potential confounders in deep learning model predictions

Embracing Massive Medical Data

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Online learning in motion modeling for intra-interventional image sequences

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Machine Learning - Data Efficient Learning

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Customized Relationship Graph Neural Network for Brain Disorder Identification

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

DeepRepViz: Identifying potential confounders in deep learning model predictions

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Disease-informed Adaptation of Vision-Language Models

Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Embracing Massive Medical Data

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Few-shot Adaptation of Medical Vision-Language Models

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

GBT: Geometric-oriented Brain Transformer for Autism Diagnosis

Generating Progressive Images from Pathological Transitions via Diffusion Model

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

HistoSyn: Histomorphology-Focused Pathology Image Synthesis

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Learning from Partial Label Proportions for Whole Slide Image Segmentation

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Leveraging Image Captions for Selective Whole Slide Image Annotation

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation

NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

On-the-Fly Guidance Training for Medical Image Registration

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Prior Activation Map Guided Cervical OCT Image Classification

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Reciprocal Collaboration for Semi-supervised Medical Image Classification

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

SynCellFactory: Generative Data Augmentation for Cell Tracking

Tail-Enhanced Representation Learning for Surgical Triplet Recognition

The MRI Scanner as a Diagnostic: Image-less Active Sampling

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Universal Semi-Supervised Learning for Medical Image Classification

URCDM: Ultra-Resolution Image Synthesis in Histopathology

Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels

Machine Learning - Foundation Models

3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

An approach to building foundation models for brain image analysis

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

ASPS: Augmented Segment Anything Model for Polyp Segmentation

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Black-Box Adaptation for Medical Image Segmentation

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Curriculum Prompting Foundation Models for Medical Image Segmentation

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

EchoNarrator: Generating natural text explanations for ejection fraction predictions

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Few-shot Adaptation of Medical Vision-Language Models

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Large-Scale 3D Infant Face Model

Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

MEDBind: Unifying Language and Multimodal Medical Data Embeddings

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

One registration is worth two segmentations

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

PathoTune: Adapting Visual Foundation Model to Pathological Specialists

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Reprogramming Distillation for Medical Foundation Models

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

SynCellFactory: Generative Data Augmentation for Cell Tracking

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

uniGradICON: A Foundation Model for Medical Image Registration

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

Machine Learning - Interpretability / Explainability

A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Aligning Medical Images with General Knowledge from Large Language Models

Anatomical Positional Embeddings

Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

Controllable Counterfactual Generation for Interpretable Medical Image Classification

Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Customized Relationship Graph Neural Network for Brain Disorder Identification

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

DeepRepViz: Identifying potential confounders in deep learning model predictions

Detecting noisy labels with repeated cross-validations

DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation

Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

EchoNarrator: Generating natural text explanations for ejection fraction predictions

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

HistoSyn: Histomorphology-Focused Pathology Image Synthesis

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Integrating Clinical Knowledge into Concept Bottleneck Models

Interpretable phenotypic profiling of 3D cellular morphodynamics

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Longitudinal Mammogram Risk Prediction

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Mitigating attribute amplification in counterfactual image generation

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

Modeling and Understanding Uncertainty in Medical Image Classification

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Prior Activation Map Guided Cervical OCT Image Classification

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Robust Conformal Volume Estimation in 3D Medical Images

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

This actually looks like that: Proto-BagNets for local and global interpretability-by-design

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Towards a text-based quantitative and explainable histopathology image analysis

Towards Explainable Automated Neuroanatomy

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Machine Learning - Meta-learning

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation

Machine Learning - Model Generalizability / Federated Learning

A New Perspective to Boost Performance Fairness For Medical Federated Learning

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

BiasPruner: Debiased Continual Learning for Medical Image Classification

CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

DeepRepViz: Identifying potential confounders in deep learning model predictions

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Disease-informed Adaptation of Vision-Language Models

Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging

Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Image Distillation for Safe Data Sharing in Histopathology

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

SiFT: A Serial Framework with Textual Guidance for Federated Learning

Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

SynCellFactory: Generative Data Augmentation for Cell Tracking

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Machine Learning - Other

3D Vessel Graph Generation Using Denoising Diffusion

7T MRI Synthesization from 3T Acquisitions

A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A task-conditional mixture-of-experts model for missing modality segmentation

A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

An approach to building foundation models for brain image analysis

Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs

Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Causal Intervention for Brain tumor Segmentation

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Convolutional Implicit Neural Representation of pathology whole-slide images

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Curriculum Prompting Foundation Models for Medical Image Segmentation

Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Deep intra-operative illumination calibration of hyperspectral cameras

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Detecting noisy labels with repeated cross-validations

Differentiable Soft Morphological Filters for Medical Image Segmentation

Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Evaluating the Quality of Brain MRI Generators

FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

HyperSpace: Hypernetworks for spacing-adaptive image segmentation

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

In vivo deep learning estimation of diffusion coefficients of nanoparticles

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes

Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

MEDBind: Unifying Language and Multimodal Medical Data Embeddings

MedSynth: Leveraging Generative Model for Healthcare Data Sharing

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Mitigating attribute amplification in counterfactual image generation

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Semi-Supervised Learning for Deep Causal Generative Models

Simulation Based Inference for PET iterative reconstruction

Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Topologically faithful multi-class segmentation in medical images

Towards a Deeper insight into Face Detection in Neonatal wards

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Two Projections Suffice for Cerebral Vascular Reconstruction

Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Unsupervised Training of Neural Cellular Automata on Edge Devices

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Voxel Scene Graph for Intracranial Hemorrhage

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Machine Learning - Reinforcement Learning

Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Goal-conditioned reinforcement learning for ultrasound navigation guidance

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

TractOracle: towards an anatomically-informed reward function for RL-based tractography

Machine Learning - Semi-/Weakly-/Un-/Self-supervised Representation Learning

A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

Affinity Learning Based Brain Function Representation for Disease Diagnosis

Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Anatomical Positional Embeddings

Anatomical Structure-Guided Medical Vision-Language Pre-training

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Automated Spinal MRI Labelling from Reports Using a Large Language Model

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Controllable Counterfactual Generation for Interpretable Medical Image Classification

Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks

Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

DeepRepViz: Identifying potential confounders in deep learning model predictions

DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Few-Shot Domain Adaptive Object Detection for Microscopic Images

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Goal-conditioned reinforcement learning for ultrasound navigation guidance

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Hard Negative Sample Mining for Whole Slide Image Classification

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Interpretable phenotypic profiling of 3D cellular morphodynamics

IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Learning from Partial Label Proportions for Whole Slide Image Segmentation

Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification

LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

MEDBind: Unifying Language and Multimodal Medical Data Embeddings

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation

MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation

mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Online learning in motion modeling for intra-interventional image sequences

On-the-Fly Guidance Training for Medical Image Registration

Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter

Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Quest for Clone: Test-time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space

Reciprocal Collaboration for Semi-supervised Medical Image Classification

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation

Self-supervised 3D Skeleton Completion for Vascular Structures

Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

Semi-Supervised Learning for Deep Causal Generative Models

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

TextPolyp: Point-supervised Polyp Segmentation with Text Cues

Topological SLAM in colonoscopies leveraging deep features and topological priors

Towards Explainable Automated Neuroanatomy

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Two Projections Suffice for Cerebral Vascular Reconstruction

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Unsupervised Latent Stain Adaptation for Computational Pathology

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Weakly-supervised Medical Image Segmentation with Gaze Annotations

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Machine Learning - Transfer Learning

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

An approach to building foundation models for brain image analysis

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Anatomical Structure-Guided Medical Vision-Language Pre-training

ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment

Disease-informed Adaptation of Vision-Language Models

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Few-shot Adaptation of Medical Vision-Language Models

Few-Shot Domain Adaptive Object Detection for Microscopic Images

Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Longitudinal Mammogram Risk Prediction

LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting

MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

PathoTune: Adapting Visual Foundation Model to Pathological Specialists

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Reprogramming Distillation for Medical Foundation Models

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Unsupervised Latent Stain Adaptation for Computational Pathology

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Machine Learning - Uncertainty

A framework for assessing joint human-AI systems based on uncertainty estimation

Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Class and Region-Adaptive Constraints for Network Calibration

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Modeling and Understanding Uncertainty in Medical Image Classification

Multi-scale Region-aware Implicit Neural Network for Medical Images Matting

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising

Online learning in motion modeling for intra-interventional image sequences

Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Robust Conformal Volume Estimation in 3D Medical Images

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Medical Robotics and Haptics

A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Modalities - Biophotonics

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Deep intra-operative illumination calibration of hyperspectral cameras

Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Modalities - CT

3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Airway segmentation based on topological structure enhancement using multi-task learning

All-In-One Medical Image Restoration via Task-Adaptive Routing

An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law

Anatomical Positional Embeddings

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Anatomy-guided Pathology Segmentation

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Centerline Boundary Dice Loss for Vascular Segmentation

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Differentiable Soft Morphological Filters for Medical Image Segmentation

Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

Embracing Massive Medical Data

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

From Pixel to Cancer: Cellular Automata in Computed Tomography

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

HuLP: Human-in-the-Loop for Prognosis

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Let Me DeCode You: Decoder Conditioning with Tabular Data

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

MMQL: Multi-Question Learning for Medical Visual Question Answering

Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

One registration is worth two segmentations

On-the-Fly Guidance Training for Medical Image Registration

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Voxel Scene Graph for Intracranial Hemorrhage

WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising

Modalities - EEG/ECG

A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Modalities - Endoscope

A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

ASPS: Augmented Segment Anything Model for Polyp Segmentation

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Depth-Aware Endoscopic Video Inpainting

Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning

DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Endora: Video Generation Models as Endoscopy Simulators

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Online 3D reconstruction and dense tracking in endoscopic videos

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues

Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

TextPolyp: Point-supervised Polyp Segmentation with Text Cues

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Modalities - Histopathology

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Decoding the visual attention of pathologists to reveal their level of expertise

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Disease-informed Adaptation of Vision-Language Models

Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Generating Progressive Images from Pathological Transitions via Diffusion Model

Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Hard Negative Sample Mining for Whole Slide Image Classification

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

HistoSyn: Histomorphology-Focused Pathology Image Synthesis

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Image Distillation for Safe Data Sharing in Histopathology

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Integrating Clinical Knowledge into Concept Bottleneck Models

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Learning from Partial Label Proportions for Whole Slide Image Segmentation

Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Leveraging Image Captions for Selective Whole Slide Image Annotation

Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars

MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

OSAL-ND: Open-set Active Learning for Nucleus Detection

PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

PathoTune: Adapting Visual Foundation Model to Pathological Specialists

Prompting Whole Slide Image Based Genetic Biomarker Prediction

Reciprocal Collaboration for Semi-supervised Medical Image Classification

Rethinking Cell Counting Methods: Decoupling Counting and Localization

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

Spatial Diffusion for Cell Layout Generation

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

Towards a text-based quantitative and explainable histopathology image analysis

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation

Unsupervised Latent Stain Adaptation for Computational Pathology

URCDM: Ultra-Resolution Image Synthesis in Histopathology

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Modalities - Integration of Imaging and Non-imaging Data

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Automated Spinal MRI Labelling from Reports Using a Large Language Model

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning

Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Let Me DeCode You: Decoder Conditioning with Tabular Data

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction

Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Spot the Difference: Difference Visual Question Answering with Residual Alignment

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Modalities - MRI

3D Vessel Graph Generation Using Denoising Diffusion

7T MRI Synthesization from 3T Acquisitions

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

A task-conditional mixture-of-experts model for missing modality segmentation

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Affinity Learning Based Brain Function Representation for Disease Diagnosis

Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

All-In-One Medical Image Restoration via Task-Adaptive Routing

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Automated Spinal MRI Labelling from Reports Using a Large Language Model

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Causal Intervention for Brain tumor Segmentation

CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

Centerline Boundary Dice Loss for Vascular Segmentation

Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Controllable Counterfactual Generation for Interpretable Medical Image Classification

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Cross-conditioned Diffusion Model for Medical Image to Image Translation

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Customized Relationship Graph Neural Network for Brain Disorder Identification

Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

DeepRepViz: Identifying potential confounders in deep learning model predictions

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Deform-Mamba Network for MRI Super-Resolution

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Development of Effective Connectome from Infancy to Adolescence

Diffusion Models with Implicit Guidance for Medical Anomaly Detection

DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models

Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Evaluating the Quality of Brain MRI Generators

Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

GBT: Geometric-oriented Brain Transformer for Autism Diagnosis

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction

Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation

MMQL: Multi-Question Learning for Medical Visual Question Answering

MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction

ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation

MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation

mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

One registration is worth two segmentations

Online learning in motion modeling for intra-interventional image sequences

On-the-Fly Guidance Training for Medical Image Registration

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Privacy Protection in MRI Scans Using 3D Masked Autoencoders

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

The MRI Scanner as a Diagnostic: Image-less Active Sampling

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Two Projections Suffice for Cerebral Vascular Reconstruction

Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation

When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Modalities - Microscopy

Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Convolutional Implicit Neural Representation of pathology whole-slide images

CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Decoding the visual attention of pathologists to reveal their level of expertise

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Few-Shot Domain Adaptive Object Detection for Microscopic Images

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

In vivo deep learning estimation of diffusion coefficients of nanoparticles

Integrating Clinical Knowledge into Concept Bottleneck Models

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Interpretable phenotypic profiling of 3D cellular morphodynamics

Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Med-Former: A Transformer based Architecture for Medical Image Classification

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning

Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior

Rethinking Cell Counting Methods: Decoupling Counting and Localization

SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

SynCellFactory: Generative Data Augmentation for Cell Tracking

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Topologically faithful multi-class segmentation in medical images

Modalities - PET/SPECT

A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Adaptive Subtype and Stage Inference for Alzheimer’s Disease

All-In-One Medical Image Restoration via Task-Adaptive Routing

Anatomy-guided Pathology Segmentation

Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

HuLP: Human-in-the-Loop for Prognosis

LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction

MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Region Attention Transformer for Medical Image Restoration

Simulation Based Inference for PET iterative reconstruction

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Modalities - Ultrasound

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoNarrator: Generating natural text explanations for ejection fraction predictions

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Goal-conditioned reinforcement learning for ultrasound navigation guidance

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Online learning in motion modeling for intra-interventional image sequences

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Real-world Visual Navigation for Cardiac Ultrasound View Planning

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Shortcut Learning in Medical Image Segmentation

STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Zoom Pattern Signatures for Fetal Ultrasound Structures

Modalities - Video

A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Endora: Video Generation Models as Endoscopy Simulators

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Interpretable phenotypic profiling of 3D cellular morphodynamics

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Online 3D reconstruction and dense tracking in endoscopic videos

Online learning in motion modeling for intra-interventional image sequences

PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition

SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Towards a Deeper insight into Face Detection in Neonatal wards

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Modalities - other

3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Disease-informed Adaptation of Vision-Language Models

DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Evaluating the Fairness of Neural Collapse in Medical Image Classification

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations

Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Longitudinal Mammogram Risk Prediction

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

Mitigating attribute amplification in counterfactual image generation

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Reciprocal Collaboration for Semi-supervised Medical Image Classification

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays

Spot the Difference: Difference Visual Question Answering with Residual Alignment

Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Two Projections Suffice for Cerebral Vascular Reconstruction

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Population Imaging and Imaging Genetics

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

MultiVarNet - Predicting Tumour Mutational status at the Protein Level

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Surgical Data Science

Deep intra-operative illumination calibration of hyperspectral cameras

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Depth-Aware Endoscopic Video Inpainting

Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Endora: Video Generation Models as Endoscopy Simulators

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Jumpstarting Surgical Computer Vision

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MuST: Multi-Scale Transformers for Surgical Phase Recognition

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Spatial Context Awareness in Surgery through Sound Source Localization

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Surgical Planning and Simulation

3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Towards realistic needle insertion training simulator using partitioned model order reduction

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Surgical Scene Understanding

Depth-Aware Endoscopic Video Inpainting

Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Endora: Video Generation Models as Endoscopy Simulators

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MuST: Multi-Scale Transformers for Surgical Phase Recognition

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Spatial Context Awareness in Surgery through Sound Source Localization

StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Tail-Enhanced Representation Learning for Surgical Triplet Recognition

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Two Projections Suffice for Cerebral Vascular Reconstruction

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Surgical Skill and Work Flow Analysis

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Jumpstarting Surgical Computer Vision

Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

MuST: Multi-Scale Transformers for Surgical Phase Recognition

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

Spatial Context Awareness in Surgery through Sound Source Localization

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Surgical Visualization and Mixed/Augmented/Virtual Reality

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Endora: Video Generation Models as Endoscopy Simulators

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Online 3D reconstruction and dense tracking in endoscopic videos

SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues

SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Towards realistic needle insertion training simulator using partitioned model order reduction

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Telemedicine and Mobile Health Imaging Technologies

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Visualization in Biomedical Imaging

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Decoding the visual attention of pathologists to reveal their level of expertise

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Large-Scale 3D Infant Face Model

LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction

Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

URCDM: Ultra-Resolution Image Synthesis in Histopathology

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics