List of Papers
- • µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
- • 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph
- • 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model
- • 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement
- • 6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion
- • A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation
- • A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients
- • A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos
- • A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
- • A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
- • A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
- • A flexible deep learning framework for survival analysis with medical data
- • A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement
- • A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data
- • A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets
- • A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation
- • A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD
- • A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity
- • A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm
- • A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification
- • A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency
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• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage
- Yoo, Youngjin; Georgescu, Bogdan; Zhang, Yanbo; Grbic, Sasa; Liu, Han; Aldea, Gabriela D.; Re, Thomas J.; Das, Jyotipriya; Ullaskrishnan, Poikavila; Eibenberger, Eva; Chekkoury, Andrei; Bodanapally, Uttam K.; Nicolaou, Savvas; Sanelli, Pina C.; Schroeppel, Thomas J.; Lui, Yvonne W.; Gibson, Eli;
- [PDF] [Paper Information and Reviews] [bibtex]
- • A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion
- • A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
- • A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation
- • A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection
- • A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
- • A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
- • A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images
- • A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features
- • A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning
- • A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging
- • A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation
- • Abnormality-Driven Representation Learning for Radiology Imaging
- • Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation
- • Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
- • Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
- • Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling
- • ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation
- • Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
- • Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision
- • ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
- • Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
- • Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
- • Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction
- • Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI
- • Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos
- • Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification
- • Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling
- • Adaptive Stain Normalization for Cross-Domain Medical Histology
- • Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
- • Addressing Label Scarcity and Domain Shift in Medical Image Segmentation
- • AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
- • Advancing Medical Representation Learning Through High-Quality Data
- • AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
- • AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
- • AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations
- • All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
- • Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion
- • Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
- • An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning
- • Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
- • Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities
- • Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images
- • Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation
- • Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
- • Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays
- • Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge
- • Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures
- • Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture
- • Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection
- • Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans
- • Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units
- • Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction
- • Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation
- • Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection
- • Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis
- • Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening
- • Automated Detection of Abnormalities in Zebrafish Development
- • Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers
- • Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery
- • Automatic dataset shift identification to support safe deployment of medical imaging AI
- • Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation
- • Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
- • AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis
- • Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks
- • Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification
- • BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA
- • Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections
- • BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images
- • BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement
- • BenchReAD: A systematic benchmark for retinal anomaly detection
- • Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations
- • Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
- • BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
- • BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields
- • Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation
- • BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA
- • Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
- • BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis
- • Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging
- • Blind Restoration of High-Resolution Ultrasound Video
- • Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching
- • BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration
- • Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
- • Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping
- • Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
- • Bowsher prior Enhanced Unsupervised PET image Denoising
- • Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes
- • Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference
- • BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner
- • Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning
- • Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis
- • BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data
- • BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis
- • BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
- • BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation
- • BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation
- • BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation
- • Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
- • Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
- • Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma
- • Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation
- • C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images
- • Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis
- • CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
- • CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
- • CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching
- • CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity
- • CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening
- • CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation
- • Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
- • CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery
- • CATVis: Context-Aware Thought Visualization
- • CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation
- • Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis
- • Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification
- • CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI
- • CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model
- • CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
- • CENet: Context Enhancement Network for Medical Image Segmentation
- • Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination
- • Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts
- • CF-Seg: Counterfactuals meet Segmentation
- • CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery
- • Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading
- • CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis
- • ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis
- • Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction
- • Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans
- • Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation
- • Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging
- • Clinically-guided Data Synthesis for Laryngeal Lesion Detection
- • CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography
- • ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
- • C-NCA: Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation
- • Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement
- • CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
- • CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
- • Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction
- • Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation
- • Concept-induced Graph Perception Model for Interpretable Diagnosis
- • Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
- • Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data
- • Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
- • Confidence in Angle Predictions for Clinical Decision Support
- • Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction
- • Conformal forecasting for surgical instrument trajectory
- • Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
- • Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
- • Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
- • ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
- • Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
- • Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors
- • Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis
- • Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
- • Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
- • Contrastive Knowledge-Guided Large Language Models for Medical Report Generation
- • Contrastive Masked Video Modeling for Coronary Angiography Diagnosis
- • Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans
- • Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection
- • Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods
- • Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model
- • CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
- • Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
- • Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning
- • CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching
- • Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation
- • Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment
- • Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis
- • Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features
- • Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis
- • Cross-Modal Graph Learning for Perivascular Spaces Segmentation
- • Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
- • Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy
- • Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
- • CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy
- • CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling
- • CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning
- • CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)
- • CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
- • CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition
- • CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays
- • CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories
- • Cycle Context Verification for In-Context Medical Image Segmentation
- • CytoSAE: Interpretable Cell Embeddings for Hematology
- • D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
- • D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training
- • D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors
- • D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction
- • D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
- • DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT
- • DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities
- • DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning
- • Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training
- • Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction
- • Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System
- • Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography
- • Deep Learning-based Alignment Measurement in Knee Radiographs
- • DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
- • DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
- • Delving into Out-of-Distribution Detection with Medical Vision-Language Models
- • DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
- • DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model
- • DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
- • DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis
- • DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal
- • DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
- • Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
- • DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation
- • DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
- • Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control
- • DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
- • Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation
- • DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance
- • Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View
- • Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis
- • Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
- • Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
- • DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
- • DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging
- • Direct Inversion Formula of the Multi-coil MR Operator under Arbitrary Trajectories
- • Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration
- • DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine
- • DisDiff: Disentanglement Diffusion Network for MR Imaging Translation
- • Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
- • Distilling foundation models for robust and efficient models in digital pathology
- • Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion
- • DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis
- • Does Connectome Harmonic Analysis pass the Spin Test?
- • Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features
- • Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba
- • Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
- • Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data
- • DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
- • DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation
- • DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
- • Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance
- • Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation
- • Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images
- • Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation
- • DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning
- • Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification
- • DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency
- • DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation
- • Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation
- • Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline
- • Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
- • Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction
- • E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
- • EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
- • EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
- • EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography
- • EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification
- • Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network
- • Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation
- • Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation
- • EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation
- • EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination
- • EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation
- • EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation
- • EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds
- • Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training
- • Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs
- • Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
- • Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting
- • Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records
- • EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy
- • Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion
- • EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
- • EndoGen: Conditional Autoregressive Endoscopic Video Generation
- • Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking
- • EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
- • EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy
- • EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction
- • Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation
- • Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion
- • Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT
- • End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization
- • Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images
- • Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation
- • Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
- • Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
- • Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
- • Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
- • Equitable Federated Learning with NCA
- • ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation
- • Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System
- • EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration
- • Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
- • Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models
- • Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
- • Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
- • Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography
- • Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data
- • Exploring the Design Space of 3D MLLMs for CT Report Generation
- • Exploring the feasibility of zero-shot super-resolution in preclinical imaging
- • Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
- • F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
- • Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning
- • Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models
- • Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
- • Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss
- • FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation
- • FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
- • FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
- • Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images
- • Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
- • FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities
- • FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
- • FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation
- • Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions
- • Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
- • Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation
- • FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction
- • FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
- • Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model
- • Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
- • Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
- • Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
- • Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
- • Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
- • Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
- • FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
- • FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality
- • Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
- • FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections
- • Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
- • Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
- • FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI
- • FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation
- • Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging
- • Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
- • Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation
- • From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation
- • From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
- • From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training
- • From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation
- • From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation
- • FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images
- • FunBench: Benchmarking Fundus Reading Skills of MLLMs
- • Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations
- • Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
- • Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
- • FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy
- • GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
- • Gaussian Primitive Optimized Deformable Retinal Image Registration
- • GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network
- • GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology
- • General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
- • Generating Novel Brain Morphology by Deforming Learned Templates
- • Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room
- • Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model
- • Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography
- • GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
- • GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
- • GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
- • GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation
- • Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
- • Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
- • GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs
- • GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration
- • GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion
- • Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
- • Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading
- • Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation
- • Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling
- • GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification
- • GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
- • Guided Augmentation for Monocular Depth Estimation in Cell Microscopy
- • Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
- • Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models
- • HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics
- • HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency
- • Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
- • Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification
- • HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma
- • Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays
- • Harnessing Side Information for Highly Accelerated MRI
- • HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation
- • HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images
- • HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
- • Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis
- • Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI
- • Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization
- • Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
- • Hierarchical Feature Learning for Medical Point Clouds via State Space Model
- • Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
- • Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology
- • Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
- • Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
- • HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation
- • High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion
- • High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
- • High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
- • High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning
- • HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
- • Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
- • Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy
- • HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography
- • HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
- • HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
- • Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation
- • Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation
- • Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis
- • HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
- • Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
- • HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis
- • Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
- • Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
- • Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis
- • HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
- • HyperSORT: Self-Organising Robust Training with hyper-networks
- • ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization
- • IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image
- • IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
- • IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities
- • Implicit Deformable Medical Image Registration with Learnable Kernels
- • Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
- • Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
- • Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI
- • Improving Autism Detection with Multimodal Behavioral Analysis
- • Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness
- • Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
- • Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data
- • IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction
- • Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
- • Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification
- • Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX
- • Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
- • Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
- • InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation
- • Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
- • Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis
- • Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer
- • Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication
- • Interactive Segmentation and Report Generation for CT Images
- • Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions
- • Interpretable fMRI Captioning via Contrastive Learning
- • Intra- and Cross-View Enhancement for OCTA Imaging
- • Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation
- • IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
- • Is Hyperbolic Space All You Need for Medical Anomaly Detection?
- • ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
- • ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation
- • Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
- • Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
- • ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation
- • KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy
- • KMUNet: A novel medical image segmentation model based on KAN and Mamba
- • Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
- • Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation
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• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation
- Pham, Duy Khoa; Mehta, Deval; Jiang, Yiwen; Thom, Daniel; Chang, Richard Shek-kwan; Nazem-Zadeh, Mohammad; Foster, Emma; Fazio, Timothy; Holper, Sarah; Verspoor, Karin; Liu, Jiahe; Nhu, Duong; Barnard, Sarah; O’Brien, Terence; Chen, Zhibin; French, Jacqueline; Kwan, Patrick; Ge, Zongyuan;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction
- • Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification
- • Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis
- • Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
- • Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
- • LDDMEm: Large Deformation Diffeomorphic Metric Embedding: Decoupling Shape Analysis from Image Registration
- • LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation
- • Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
- • Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
- • Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction
- • Learning Disease State from Noisy Ordinal Disease Progression Labels
- • Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
- • Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures
- • Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
- • Learning Segmentation from Radiology Reports
- • Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation
- • LEAVS: An LLM-based Labeler for Abdominal CT Supervision
- • Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
- • Lesion-centered vision transformer for stroke outcome prediction from image and clinical data
- • LesionDiffusion: Towards Text-controlled General Lesion Synthesis
- • Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
- • Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
- • Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
- • LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification
- • LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
- • Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
- • Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
- • LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction
- • LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking
- • LKA: Large Kernel Adapter for Enhanced Medical Image Classification
- • LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG
- • LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease
- • Localization Lens for Improving Medical Vision-Language Models
- • Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation
- • Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images
- • Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements
- • Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer
- • LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
- • LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
- • Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
- • Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation
- • M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation
- • MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant
- • MadCLIP: Few-shot Medical Anomaly Detection with CLIP
- • MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
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• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI
- Graf, Robert; Möller, Hendrik; Starck, Sophie; Atad, Matan; Braun, Philipp; Stelter, Jonathan; Peters, Annette; Krist, Lilian; Willich, Stefan N.; Völzke, Henry; Bülow, Robin; Pischon, Tobias; Niendorf, Thoralf; Paetzold, Johannes C.; Karampinos, Dimitrios; Rueckert, Daniel; Kirschke, Jan;
- [PDF] [Paper Information and Reviews] [bibtex]
- • MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
- • MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
- • Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation
- • MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information
- • MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba
- • MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms
- • Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation
- • MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion
- • Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion
- • Masked Contrastive Language-Image Modeling For Brain Segmentation
- • MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
- • MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions
- • MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation
- • Maverick: Collaboration-free Federated Unlearning for Medical Privacy
- • MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
- • MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
- • MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
- • MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions
- • Med-BiasX: Robust Medical Visual Question Answering with Language Biases
- • MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
- • MedGCD: Generalized Category Discovery in Medical Imaging
- • MedGNN: General Medical Image Recognition Network via GNN Visual Representations
- • MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
- • MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
- • Medical Contrastive Learning of Positive and Negative Mentions
- • Medical Large Vision Language Models with Multi-Image Visual Ability
- • Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
- • MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery
- • MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
- • Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
- • MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
- • MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction
- • MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis
- • MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
- • MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care
- • Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
- • Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
- • Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
- • Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits
- • Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling
- • Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
- • Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
- • MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma
- • MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
- • MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
- • MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
- • MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
- • Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
- • MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework
- • Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing
- • Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models
- • MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows
- • MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI
- • MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
- • MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
- • MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
- • MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation
- • MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts
- • MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging
- • Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration
- • More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
- • MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images
- • MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding
- • MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
- • MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport
- • Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
- • MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
- • MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
- • MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation
- • MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy
- • MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations
- • MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data
- • MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
- • MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
- • MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
- • MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction
- • Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models
- • Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
- • Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition
- • Multifrequency Neural Network-based Wave Inversion in MR Elastography
- • Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
- • Multi-Linear 3D Craniofacial Infant Shape Model
- • Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
- • Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification
- • Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients
- • Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction
- • Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
- • Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
- • Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
- • Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video
- • Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures
- • Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
- • Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis
- • Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation
- • Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
- • Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification
- • Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis
- • Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks
- • Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
- • Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
- • MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI
- • Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention
- • Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction
- • Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
- • MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction
- • Mutual Information Regularization for Fairness-aware Deep Imaging Representations
- • MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
- • MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models
- • Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
- • NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
- • Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis
- • NeRF-based CBCT Reconstruction needs Normalization and Initialization
- • NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging
- • Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction
- • Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders
- • NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech
- • New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions
- • New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
- • NIMOSEF: Neural implicit motion and segmentation functions
- • No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
- • Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation
- • Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation
- • Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation
- • Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds
- • Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders
- • NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification
- • Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
- • Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps
- • ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation
- • OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment
- • Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation
- • On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging
- • One For All: A Unified Approach to Classification and Self-Explanation
- • One-shot active learning for vessel segmentation
- • OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
- • Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins
- • Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
- • Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
- • OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy
- • OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery
- • OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
- • Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer
- • P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography
- • Paired Image Generation with Diffusion-Guided Diffusion Models
- • Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling
- • Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
- • Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
- • Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
- • PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
- • Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions
- • PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping
- • Pathology Image Compression with Pre-trained Autoencoders
- • Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions
- • Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
- • Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance
- • Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
- • PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
- • PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
- • PathVG: A New Benchmark and Dataset for Pathology Visual Grounding
- • Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images
- • Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond
- • PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification
- • PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
- • PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA
- • PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
- • PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
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• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts
- Huy, Ta Duc; Shoby, Abin; Tran, Sen; Xie, Yutong; Chen, Qi; Nguyen, Phi Le; Gole, Akshay; Liu, Lingqiao; Perperidis, Antonios; Friswell, Mark; Linke, Rebecca; Glynn, Andrea; To, Minh-Son; van den Hengel, Anton; Verjans, Johan; Liao, Zhibin; Phan, Minh Hieu;
- [PDF] [Paper Information and Reviews] [bibtex]
- • PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection
- • Personalized Federated Side-Tuning for Medical Image Classification
- • PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation
- • Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery
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• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder
- Onemli, Emre; Mahmood, Ahsan; Azrak, Omar; Garic, Dea; Swanson, Meghan R.; Grzadzinski, Rebecca; Mata, Kattia; Shen, Mark D.; Girault, Jessica B.; St. John, Tanya; Pandey, Juhi; Zwaigenbaum, Lonnie; Estes, Annette M.; Shen, Audrey M.; Dager, Stephen R.; Schultz, Robert T.; Botteron, Kelly N.; Evans, Alan C.; Elison, Jed T.; Yacoub, Essa; Kim, Sun Hyung; McKinstry, Robert C.; Gerig, Guido; Hazlett, Heather C.; Marrus, Natasha; Piven, Joseph; Pruett Jr., John R.; Styner, Martin;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
- • Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
- • Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
- • Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis
- • Physics-guided deep image prior network for general zero-shot stain deconvolution
- • Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging
- • Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
- • Physics-Informed Neural Operators for Tissue Elasticity Reconstruction
- • Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET
- • PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
- • PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
- • PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
- • PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
- • PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
- • Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
- • PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
- • PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
- • PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
- • Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
- • Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
- • Predicting Longitudinal Brain Development via Implicit Neural Representations
- • Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
- • PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
- • PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
- • Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning
- • Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
- • Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders
- • PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
- • Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
- • Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
- • Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
- • Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network
- • Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
- • ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation
- • Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease
- • Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
- • Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images
- • PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer
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• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection
- Elghareb, Tarek; Harmanani, Mohamed; To, Minh Nguyen Nhat; Wilson, Paul; Jamzad, Amoon; Fooladgar, Fahimeh; Abdelsamad, Baraa; Dzikunu, Obed; Sojoudi, Samira; Reznik, Gabrielle; Leveridge, Michael; Siemens, Robert; Chang, Silvia; Black, Peter; Mousavi, Parvin; Abolmaesumi, Purang;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
- • Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning
- • Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
- • PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
- • PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
- • pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback
- • Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis
- • Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
- • R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs
- • R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image
- • RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
- • Radar-Based Imaging for Sign Language Recognition in Medical Communication
- • RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
- • RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images
- • RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
- • RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
- • RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
- • RadSAM: Segmenting 3D radiological images with a 2D promptable model
- • RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction
- • RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways
- • RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration
- • Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs
- • Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging
- • Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
- • ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
- • Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
- • Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
- • RedDino: A foundation model for red blood cell analysis
- • Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
- • RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
- • RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
- • Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
- • Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport
- • Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
- • Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model
- • Regression-assisted Classification for CT-based Portal Hypertension Diagnosis
- • RegScore: Scoring Systems for Regression Tasks
- • Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
- • Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control
- • ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
- • ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
- • Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment
- • Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis
- • ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
- • RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models
- • Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem
- • RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation
- • RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
- • RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
- • Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
- • Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
- • Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
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• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
- Chen, Boqi; Vincent-Cuaz, Cédric; Schoenpflug, Lydia A.; Madeira, Manuel; Fournier, Lisa; Subramanian, Vaishnavi; Andani, Sonali; Ruiperez-Campillo, Samuel; Vogt, Julia E.; Luisier, Raphaëlle; Thanou, Dorina; Koelzer, Viktor H.; Frossard, Pascal; Campanella, Gabriele; Rätsch, Gunnar;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification
- • RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
- • Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images
- • RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models
- • Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels
- • Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
- • Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
- • Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
- • Robust sensitivity control in digital pathology via tile score distribution matching
- • Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models
- • Robust Topographical Representation for Longitudinal Propagation of Tau Pathology
- • RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
- • RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
- • RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
- • SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
- • SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
- • SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
- • SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search
- • SAMASK-CLTR: A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
- • SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
- • SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
- • SAMUSA: Segment Anything Model 2 for UltraSound Annotation
- • Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
- • Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management
- • Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
- • Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
- • Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis
- • Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
- • Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
- • Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors
- • Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
- • Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
- • Self-Supervised Multiview Xray Matching
- • Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
- • Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization
- • Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
- • Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
- • Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
- • Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT
- • Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
- • SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
- • Separable tissue representations for attributable risk prediction
- • Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
- • SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views
- • SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis
- • ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere
- • Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis
- • SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
- • SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data
- • Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning
- • Single Image Test-Time Adaptation via Multi-View Co-Training
- • Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation
- • SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation
- • Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
- • Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications
- • SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
- • SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
- • Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment
- • Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
- • Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency
- • Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
- • Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
- • Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks
- • Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
- • Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer
- • Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation
- • Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy
- • Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
- • Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
- • Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos
- • Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization
- • Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
- • SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation
- • Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder
- • SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
- • Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention
- • Spline refinement with differentiable rendering
- • SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease
- • SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
- • SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
- • SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification
- • STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation
- • Steerable Anatomical Shape Synthesis with Implicit Neural Representations
- • StepAL: Step-aware Active Learning for Cataract Surgical Videos
- • STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning
- • Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images
- • Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
- • Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
- • Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities
- • Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap
- • StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap
- • Subgroup Performance Analysis in Hidden Stratifications
- • Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
- • SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning
- • Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies
- • Supervised Diffusion-Model-Based PET Image Reconstruction
- • Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
- • Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease
- • Surgical Action Planning with Large Language Models
- • SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
- • Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
- • SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
- • SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
- • SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
- • SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
- • Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
- • Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
- • SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts
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• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
- Roshanitabrizi, Pooneh; Guo, Pengfei; Aharonyan, Artur Arturi; Brown, Kelsey; Broudy, Taylor Gloria; Parida, Abhijeet; Tapp, Austin; Jiang, Zhifan; Tompsett, Alison; Rwebembera, Joselyn; Okello, Emmy; Beaton, Andrea; Roth, Holger R.; Xu, Daguang; Anwar, Syed Muhammad; Sable, Craig A.; Linguraru, Marius George;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network
- • Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging
- • T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS
- • T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
- • T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
- • T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification
- • Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS
- • Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling
- • Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
- • Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
- • TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
- • tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation
- • Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
- • TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
- • Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings
- • Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
- • Temporal Model-Based Federated Active Medical Image Classification
- • Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
- • Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
- • Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer
- • Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy
- • TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
- • TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI
- • Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation
- • Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
- • TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
- • Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
- • Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
- • TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2
- • The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
- • The Refining of Brain Connectivity Features on Residual Posterior Patterns
- • Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
- • This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
- • tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
- • Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images
- • ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset
- • Tied Prototype Model for Few-Shot Medical Image Segmentation
- • Time-Contrastive Pretraining for In-Context Image and Video Segmentation
- • Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining
- • TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
- • Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis
- • Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
- • Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
- • Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling
- • Towards Automated Pediatric Dental Development Staging: A Dataset and Model
- • Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach
- • Towards Holistic Surgical Scene Graph
- • Towards Interpretable Counterfactual Generation via Multimodal Autoregression
- • Towards Markerless Intraoperative Tracking of Deformable Spine Tissue
- • Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction
- • Towards Patient-Specific Deformable Registration in Laparoscopic Surgery
- • Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts
- • Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks
- • TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
- • Training state-of-the-art pathology foundation models with orders of magnitude less data
- • Training-free Test-time Improvement for Explainable Medical Image Classification
- • TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation
- • Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
- • Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation
- • TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation
- • Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
- • TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
- • Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
- • Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
- • Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
- • Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
- • UDPET: Ultra-low Dose PET Imaging Challenge Dataset
- • UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation
- • UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
- • Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer
- • UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
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• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
- Yu, Junxuan; Duan, Yaofei; Huang, Yuhao; Wang, Yu; Ling, Rongbo; Luo, Weihao; Zhang, Ang; Xu, Jingxian; Ni, Qiongying; Zhou, Yongsong; Li, Binghan; Dou, Haoran; Liu, Liping; Chu, Yanfen; Geng, Feng; Sheng, Zhe; Ding, Zhifeng; Zhang, Dingxin; Huang, Rui; Zhang, Yuhang; Xu, Xiaowei; Tan, Tao; Ni, Dong; Gou, Zhongshan; Yang, Xin;
- [PDF] [Paper Information and Reviews] [bibtex]
- • UltrON: Ultrasound Occupancy Networks
- • UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model
- • Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
- • Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
- • Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
- • Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
- • U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
- • UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction
- • UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution
- • UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning
- • UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
- • Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
- • Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting
- • Unleashing the Power of LLMs for Medical Video Answer Localization
- • Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
- • Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
- • Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures
- • Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation
- • Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model
- • Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints
- • Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs
- • Unsupervised OCT image interpolation using deformable registration and generative models
- • Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
- • Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation
- • UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
- • Untangling Vascular Trees for Surgery and Interventional Radiology
- • U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
- • UWT-Net: Mining low-frequency feature information for medical image segmentation
- • V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
- • VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
- • VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation
- • Variational Visible Layers: A Practical Framework for Uncertainty Estimation
- • Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition
- • Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection
- • VBCD: A Voxel-Based Framework for Personalized Dental Crown Design
- • Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance
- • Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging
- • VesselGPT: Autoregressive Modeling of Vascular Geometry
- • VesselSDF: Distance Field Priors for Vascular Network Reconstruction
- • VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
- • Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
- • VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
- • ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA
- • ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation
- • VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
- • VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
- • VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising
- • VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis
- • WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
- • WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation
- • Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging
- • WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images
- • Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
- • Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation
- • Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification
- • WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
- • World Model for AI Autonomous Navigation in Mechanical Thrombectomy
- • WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
- • XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
- • XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
- • X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
- • You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection
- • Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images