Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations

SUnet: A multi-organ segmentation network based on multiple attention

Development and validation of a deep-learning model for the detection of non-displaced femoral neck fractures with anteroposterior and lateral hip radiographs

cgMSI: pathogen detection within species from nanopore metagenomic sequencing data

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Editorial: Deep learning for multimodal brain data processing and analysis

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

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

A deep learning MRI-based signature may provide risk-stratification strategies for nasopharyngeal carcinoma

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

RECIST WEAKLY SUPERVISED LESION SEGMENTATION VIA LABEL-SPACE CO-TRAINING

Novel deep learning-based computer-aided diagnosis system for predicting inflammatory activity in ulcerative colitis

ADVANCING RADIOGRAPH REPRESENTATION LEARNING WITH MASKED RECORD MODELING

GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis

XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers

Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction

Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis

RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

FedDP: Dual Personalization in Federated Medical Image Segmentation

RECIST WEAKLY SUPERVISED LESION SEGMENTATION VIA LABEL-SPACE CO-TRAINING

G2LL: GLOBAL-TO-LOCAL SELF-SUPERVISED LEARNING FOR LABEL-EFFICIENT TRANSFORMER-BASED SKIN LESION SEGMENTATION IN DERMOSCOPY IMAGES

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Medical Boundary Diffusion Model for Skin Lesion Segmentation

Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair

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

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images

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

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

ADVANCING RADIOGRAPH REPRESENTATION LEARNING WITH MASKED RECORD MODELING