NIFA: Low-dose CT imaging via noise intensity field aware networks

Article

SegMIC: A universal model for medical image segmentation through in-context learning

Article

TSAR: A two-stage approach to motion artifact reduction in OCTA images

Article

Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation

Conference paper

Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction

Conference paper

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Conference paper

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Conference paper

A closer look at the explainability of Contrastive language-image pre-training

Article

A new dataset and versatile multi-task surgical workflow analysis framework for thoracoscopic mitral valvuloplasty

Article

Artificial intelligence model for automatic 3-dimensional reconstruction of ossicular chain and bony labyrinth from high-resolution CT

Article

Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights

Article

Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs

Article

Constrained multi-scale dense connections for biomedical image segmentation

Article

Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation

Article

Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353] (Medical Image Analysis (2025) 99, (S1361841524002780), (10.1016/j.media.2024.103353))

Article

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach

Article

Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation

Article

Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification

Article

Enhancing Domain Generalization in Medical Image Segmentation With Global and Local Prompts

Article

FDTooth: Intraoral Photographs and CBCT Images for Fenestration and Dehiscence Detection

Article

GlandSAM: Injecting Morphology Knowledge into Segment Anything Model for Label-Free Gland Segmentation

Article

HiLM-D: Enhancing MLLMs with Multi-scale High-Resolution Details for Autonomous Driving

Article

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation

Article

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting

Article

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images

Article

OS-RRG: Observation State-Aware Radiology Report Generation With Balanced Diagnosis and Attention Intervention

Article

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images

Article

S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation

Article

Federated learning on long-tailed datasets

Book chapter

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Conference paper

CardiacCLIP: Video-Based CLIP Adaptation for LVEF Prediction in a Few-Shot Manner

Conference paper

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

Conference paper

Concept-Based Unsupervised Domain Adaptation

Conference paper

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness

Conference paper

EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Conference paper

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks

Conference paper

Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation

Conference paper

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Conference paper

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Conference paper

Multi-agent Collaboration for Integrating Echocardiography Expertise in Multi-modal Large Language Models

Conference paper

Teach CLIP to Develop a Number Sense for Ordinal Regression

Conference paper

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases

Conference paper

Cross-Domain Recommendation via Progressive Structural Alignment

Article

Development and research status of intelligent ophthalmology in China

Article

Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships

Article

Exploiting Hierarchical Interactions for Protein Surface Learning

Article

Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation

Article

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge

Article

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Article

High-fidelity reconstruction of large-area damaged turbulent fields with a physically constrained generative adversarial network

Article

Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation

Article

Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints

Article

Video-based face outline recognition

Article

中国智能眼科发展和研究现状之我见

Article

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

Conference paper

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

Conference paper

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding

Conference paper

C²RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction

Conference paper

CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Conference paper

DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models

Conference paper

Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation

Conference paper

ENERGY-BASED CONCEPT BOTTLENECK MODELS: UNIFYING PREDICTION, CONCEPT INTERVENTION, AND PROBABILISTIC INTERPRETATIONS

Conference paper

Energy-Based Conceptual Diffusion Model

Conference paper

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

Conference paper

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

Conference paper

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Conference paper

Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models

Conference paper

Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models

Conference paper

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

Conference paper

M³-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

Conference paper

M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

Conference paper

MULTIMODAL SURVIVAL ENSEMBLE NETWORK: INTEGRATING GENOMIC AND HISTOPATHOLOGICAL INSIGHTS FOR ENHANCED CANCER PROGNOSIS

Conference paper

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

Conference paper

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

Conference paper

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images

Conference paper

A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images

Article

Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation

Article

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos

Article

Deep learning for predicting epidermal growth factor receptor mutations of non-small cell lung cancer on PET/CT images

Article

Exploring the Complexities of Dissolved Organic Matter Photochemistry from the Molecular Level by Using Machine Learning Approaches

Article

ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images

Article

Less Is More: Surgical Phase Recognition From Timestamp Supervision

Article

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis

Article

CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval

Conference paper

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

Conference paper

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

Conference paper

DHC: Dual-Debiased Heterogeneous Co-training Framework for Class-Imbalanced Semi-supervised Medical Image Segmentation

Conference paper

Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification

Conference paper

FSDiffReg: Feature-Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images

Conference paper

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

Conference paper

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

Conference paper

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

Conference paper

Improved understanding of photochemical processing of DOM using machine learning approaches

Conference paper

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Conference paper

Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

Conference paper

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

Conference paper

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

Conference paper

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation

Conference paper

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

Conference paper

Towards Distribution-Agnostic Generalized Category Discovery

Conference paper

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

Conference paper

A two-stage multiresolution neural network for automatic diagnosis of hepatic echinococcosis from ultrasound images: A multicenter study

Article

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

Article

CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration

Article

Editorial: Machine learning in radiation oncology

Article

Exploring Language Hierarchy for Video Grounding

Article

Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos

Article

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Article

Rare disease classification via difficulty-aware meta learning

Book chapter

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Conference paper

Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation

Conference paper

Free Lunch for Surgical Video Understanding by Distilling Self-supervisions

Conference paper

Learning Shadow Correspondence for Video Shadow Detection

Conference paper

Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images

Conference paper

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

Conference paper

Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels

Conference paper

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Conference paper

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation

Conference paper

A rapid screening classifier for diagnosing COVID-19

Article

Artificial intelligence in image-guided radiotherapy: A review of treatment target localization

Article

Deep learning-augmented radioluminescence imaging for radiotherapy dose verification

Article

Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system

Article

Deep Neural Network with Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation

Article

Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

Article

Deep Sub-Region Network for Salient Object Detection

Article

Global guidance network for breast lesion segmentation in ultrasound images

Article

Metal artifact reduction in 2D CT images with self-supervised cross-domain learning

Article

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

Article

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

Article

Improved Heatmap-Based Landmark Detection

Conference paper

Support-Set Based Cross-Supervision for Video Grounding

Conference paper

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Article

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Article

Revisiting metric learning for few-shot image classification

Article

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

Article

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

Conference paper

Difficulty-aware meta-learning for rare disease diagnosis

Conference paper

Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Conference paper

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

Article

Feature-preserving ultrasound speckle reduction via L₀ minimization

Article

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Article

Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images

Conference paper

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Conference paper

Ultrasound speckle reduction via L₀ minimization

Conference paper

Multi-scale and modality dropout learning for intervertebral disc localization and segmentation

Conference paper

Interactive point based method for soft tissue deformation in surgical simulation

Article