List of Papers
- • 3D Spine Shape Estimation from Single 2D DXA
- • 3D Vessel Graph Generation Using Denoising Diffusion
- • 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
- • 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation
- • 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
- • 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks
- • 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective
- • 7T MRI Synthesization from 3T Acquisitions
- • A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation
- • A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement
- • A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
- • A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation
- • A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors
- • A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention
- • A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
- • A framework for assessing joint human-AI systems based on uncertainty estimation
- • A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis
- • A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images
- • A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement
- • A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
- • A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis
- • A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking
- • A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis
- • A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos
- • A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney
- • A New Perspective to Boost Performance Fairness For Medical Federated Learning
- • A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation
- • A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features
- • A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot
- • A Refer-and-Ground Multimodal Large Language Model for Biomedicine
- • A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization
- • A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method
- • A task-conditional mixture-of-experts model for missing modality segmentation
- • A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
- • A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning
- • A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages
- • A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations
- • ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation
- • Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
- • Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
- • ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology
- • AcneAI: A new acne severity assessment method using digital images and deep learning
- • Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
- • Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
- • AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
- • Adapting Pre-trained Generative Model to Medical Image for Data Augmentation
- • Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification
- • Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis
- • Adaptive Subtype and Stage Inference for Alzheimer’s Disease
- • Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
- • Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring
- • Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad
- • Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
- • Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
- • Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation
- • Affinity Learning Based Brain Function Representation for Disease Diagnosis
- • Airway segmentation based on topological structure enhancement using multi-task learning
- • Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images
- • Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias
- • Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction
- • Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
- • Aligning Medical Images with General Knowledge from Large Language Models
- • All-In-One Medical Image Restoration via Task-Adaptive Routing
- • AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation
- • An approach to building foundation models for brain image analysis
- • An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
- • An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law
- • An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons
- • An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis
- • An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
- • Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs
- • Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation
- • Anatomical Positional Embeddings
- • Anatomical Structure-Guided Medical Vision-Language Pre-training
- • Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
- • Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI
- • Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling
- • Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis
- • Anatomy-guided Pathology Segmentation
- • APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy
- • Are We Ready for Out-of-Distribution Detection in Digital Pathology?
- • ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images
- • ASPS: Augmented Segment Anything Model for Polyp Segmentation
- • Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
- • Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment
- • Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework
- • Automated Spinal MRI Labelling from Reports Using a Large Language Model
- • Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset
- • AutoSkull: Learning-based Skull Estimation for Automated Pipelines
- • Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
- • Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
- • BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision
- • Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models
- • BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
- • Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image
- • Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
- • BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance
- • BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
- • BiasPruner: Debiased Continual Learning for Medical Image Classification
- • BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
- • Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
- • Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
- • Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
- • Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans
- • Black-Box Adaptation for Medical Image Segmentation
- • Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI
- • Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
- • BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification
- • Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
- • BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders
- • Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
- • BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis
- • Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation
- • Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?
- • Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?
- • CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging
- • Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake
- • Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
- • Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement
- • CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights
- • Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
- • CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
- • Causal Intervention for Brain tumor Segmentation
- • CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention
- • Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia
- • CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment
- • CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
- • ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs
- • Centerline Boundary Dice Loss for Vascular Segmentation
- • Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects
- • Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction
- • Cephalometric Landmark Detection across Ages with Prototypical Network
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• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function
- Carrera-Pinzón, Andrés Felipe; Toro-Quitian, Leonard; Torres, Juan Camilo; Cerón, Alexander; Sarmiento, Wilsón; Mendez-Toro, Arnold; Cruz-Roa, Angel; Gutiérrez-Carvajal, R. E.; Órtiz-Davila, Carlos; González, Fabio; Romero, Eduardo; Iregui Guerrero, Marcela;
- [PDF] [Paper Information and Reviews] [bibtex]
- • CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
- • CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
- • Class and Region-Adaptive Constraints for Network Calibration
- • Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation
- • Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling
- • CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning
- • Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model
- • CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
- • Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance
- • Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images
- • CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
- • Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
- • Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
- • Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
- • Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations
- • Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging
- • Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
- • Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
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• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
- Christodoulou, Evangelia; Reinke, Annika; Houhou, Rola; Kalinowski, Piotr; Erkan, Selen; Sudre, Carole H.; Burgos, Ninon; Boutaj, Sofiène; Loizillon, Sophie; Solal, Maëlys; Rieke, Nicola; Cheplygina, Veronika; Antonelli, Michela; Mayer, Leon D.; Tizabi, Minu D.; Cardoso, M. Jorge; Simpson, Amber; Jäger, Paul F.; Kopp-Schneider, Annette; Varoquaux, Gaël; Colliot, Olivier; Maier-Hein, Lena;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation
- • Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images
- • Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans
- • Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data
- • Continual Domain Incremental Learning for Privacy-aware Digital Pathology
- • Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation
- • Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis
- • Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models
- • Controllable Counterfactual Generation for Interpretable Medical Image Classification
- • Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization
- • Convolutional Implicit Neural Representation of pathology whole-slide images
- • CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
- • Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis
- • Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning
- • COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network
- • CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis
- • CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation
- • Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
- • Cross-conditioned Diffusion Model for Medical Image to Image Translation
- • Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
- • Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation
- • Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
- • Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
- • Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
- • Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
- • CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models
- • Cryotrack: Planning and Navigation for Computer Assisted Cryoablation
- • CS3: Cascade SAM for Sperm Segmentation
- • CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
- • CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths
- • Curriculum Prompting Foundation Models for Medical Image Segmentation
- • Customized Relationship Graph Neural Network for Brain Disorder Identification
- • Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
- • CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
- • Cycle-consistent Learning for Fetal Cortical Surface Reconstruction
- • Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition
- • Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
- • Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
- • DB-SAM: Delving into High Quality Universal Medical Image Segmentation
- • DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction
- • D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
- • DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth
- • Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions
- • Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
- • Decoding the visual attention of pathologists to reveal their level of expertise
- • Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning
- • Deep intra-operative illumination calibration of hyperspectral cameras
- • Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
- • Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification
- • Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
- • Deep Volume Reconstruction from Multi-focus Microscopic Images
- • Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping
- • DeepRepViz: Identifying potential confounders in deep learning model predictions
- • Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting
- • Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning
- • Deform-Mamba Network for MRI Super-Resolution
- • Depth-Aware Endoscopic Video Inpainting
- • Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
- • DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology
- • DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
- • Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
- • DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation
- • Detecting noisy labels with repeated cross-validations
- • Development of Effective Connectome from Infancy to Adolescence
- • Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks
- • DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models
- • Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
- • Differentiable Soft Morphological Filters for Medical Image Segmentation
- • DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
- • DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
- • DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration
- • Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
- • Diffusion Models with Implicit Guidance for Medical Anomaly Detection
- • Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment
- • Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
- • Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
- • Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
- • DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
- • DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration
- • DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
- • Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study
- • Disease-informed Adaptation of Vision-Language Models
- • Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis
- • Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
- • Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
- • Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation
- • D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
- • DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues
- • Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset
- • Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
- • DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment
- • Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer
- • DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation
- • DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
- • DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
- • DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
- • DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion
- • Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video
- • Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction
- • Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
- • Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
- • Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns
- • EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension
- • EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network
- • EchoNarrator: Generating natural text explanations for ejection fraction predictions
- • EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
- • EchoTracker: Advancing Myocardial Point Tracking in Echocardiography
- • Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
- • Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment
- • Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space
- • Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
- • EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos
- • Embracing Massive Medical Data
- • Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology
- • EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation
- • EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
- • Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging
- • Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
- • Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
- • EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
- • EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
- • EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
- • Endora: Video Generation Models as Endoscopy Simulators
- • EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
- • EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
- • EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
- • Energy-Based Controllable Radiology Report Generation with Medical Knowledge
- • Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
- • Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data
- • Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning
- • Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model
- • Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
- • Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
- • Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
- • Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images
- • Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration
- • Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
- • Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning
- • Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology
- • Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
- • Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
- • Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model
- • ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation
- • Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
- • Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation
- • Evaluating the Fairness of Neural Collapse in Medical Image Classification
- • Evaluating the Quality of Brain MRI Generators
- • Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
- • Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification
- • Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation
- • Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets
- • Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining
- • Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
- • F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
- • FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
- • Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
- • FairDiff: Fair Segmentation with Point-Image Diffusion
- • FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
- • FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
- • FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
- • FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
- • Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
- • Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
- • Feature Selection Gates with Gradient Routing for Endoscopic Image Computing
- • Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
- • Federated Multi-Centric Image Segmentation with Uneven Label Distribution
- • FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation
- • FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
- • FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
- • FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
- • FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
- • FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
- • Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
- • Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation
- • Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
- • Few-shot Adaptation of Medical Vision-Language Models
- • Few-Shot Domain Adaptive Object Detection for Microscopic Images
- • Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier
- • Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
- • Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification
- • FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
- • FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
- • FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
- • Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
- • Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms
- • Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
- • Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
- • FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
- • Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction
- • From Pixel to Cancer: Cellular Automata in Computed Tomography
- • From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos
- • fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
- • FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
- • Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
- • Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
- • Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis
- • Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
- • Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
- • Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
- • GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
- • GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity
- • GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
- • Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
- • Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
- • Generating Anatomically Accurate Heart Structures via Neural Implicit Fields
- • Generating Progressive Images from Pathological Transitions via Diffusion Model
- • Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
- • Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
- • Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact
- • GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model
- • GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation
- • Goal-conditioned reinforcement learning for ultrasound navigation guidance
- • Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising
- • Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions
- • Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
- • H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
- • Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
- • Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
- • HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
- • Hard Negative Sample Mining for Whole Slide Image Classification
- • Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
- • HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
- • HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?
- • HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
- • HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
- • Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI
- • Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
- • HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction
- • HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis
- • Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
- • Hierarchical multiple instance learning for COPD grading with relatively specific similarity
- • Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network
- • Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
- • High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning
- • HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction
- • HistoSyn: Histomorphology-Focused Pathology Image Synthesis
- • HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
- • HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
- • HuLP: Human-in-the-Loop for Prognosis
- • HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation
- • Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
- • HyperSpace: Hypernetworks for spacing-adaptive image segmentation
- • HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
- • I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation
- • IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography
- • IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
- • IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
- • Image Distillation for Safe Data Sharing in Histopathology
- • IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis
- • IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
- • Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging
- • Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures
- • Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation
- • Improved Esophageal Varices Assessment from Non-Contrast CT Scans
- • Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings
- • Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
- • Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
- • In vivo deep learning estimation of diffusion coefficients of nanoparticles
- • Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
- • Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System
- • Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis
- • InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations
- • Integrating Clinical Knowledge into Concept Bottleneck Models
- • Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
- • Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs
- • Interpretable phenotypic profiling of 3D cellular morphodynamics
- • Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
- • Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
- • Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
- • Intraoperative Registration by Cross-Modal Inverse Neural Rendering
- • Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning
- • IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation
- • IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation
- • Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis
- • Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
- • IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
- • Joint EM Image Denoising and Segmentation with Instance-aware Interaction
- • Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
- • Jumpstarting Surgical Computer Vision
- • KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
- • Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation
- • Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
- • Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training
- • Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
- • k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
- • Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
- • Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation
- • LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
- • Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection
- • Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
- • Large-Scale 3D Infant Face Model
- • Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans
- • LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
- • LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation
- • Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations
- • Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
- • Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
- • Learning from Partial Label Proportions for Whole Slide Image Segmentation
- • Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation
- • Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
- • Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
- • Let Me DeCode You: Decoder Conditioning with Tabular Data
- • Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising
- • Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering
- • Leveraging Image Captions for Selective Whole Slide Image Annotation
- • Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
- • LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation
- • LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
- • LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
- • LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
- • LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
- • Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
- • LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
- • LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans
- • LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
- • LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer
- • LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net
- • Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD
- • Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
- • LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
- • LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer
- • Longitudinal Mammogram Risk Prediction
- • Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
- • Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis
- • Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
- • Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
- • Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
- • Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
- • LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification
- • LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation
- • LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation
- • M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
- • M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
- • MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation
- • MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology
- • Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
- • MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs
- • Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA
- • Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
- • Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
- • Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
- • Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling
- • MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
- • MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
- • MEDBind: Unifying Language and Multimodal Medical Data Embeddings
- • MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
- • MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
- • Med-Former: A Transformer based Architecture for Medical Image Classification
- • Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning
- • Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
- • Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
- • MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
- • MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification
- • MedSynth: Leveraging Generative Model for Healthcare Data Sharing
- • MEGFormer: enhancing speech decoding from brain activity through extended semantic representations
- • Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
- • MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters
- • MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
- • MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET
- • MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars
- • MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation
- • MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction
- • MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
- • MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning
- • Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning
- • Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework
- • Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery
- • Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
- • Mitigating attribute amplification in counterfactual image generation
- • Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI
- • MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
- • MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
- • MMQL: Multi-Question Learning for Medical Visual Question Answering
- • MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
- • MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
- • MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
- • Modeling and Understanding Uncertainty in Medical Image Classification
- • ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
- • MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
- • MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality
- • MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
- • MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation
- • MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
- • mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain
- • MRScore: Evaluating Medical Report with LLM-based Reward System
- • MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
- • Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation
- • Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
- • Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
- • Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke
- • Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
- • Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
- • Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
- • Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction
- • Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
- • Multimodal Learning for Embryo Viability Prediction in Clinical IVF
- • Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
- • Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage
- • Multi-order Simplex-based Graph Neural Network for Brain Network Analysis
- • Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
- • Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI
- • Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation
- • Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
- • MultiVarNet - Predicting Tumour Mutational status at the Protein Level
- • MuST: Multi-Scale Transformers for Surgical Phase Recognition
- • Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion
- • Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
- • NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature
- • NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning
- • nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
- • NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations
- • Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
- • Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases
- • Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
- • No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
- • Nonrigid Reconstruction of Freehand Ultrasound without a Tracker