Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. - Chenyu You; Weicheng Dai; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. - Chenyu You; Weicheng Dai; Fenglin Liu; Haoran Su; Xiaoran Zhang; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; James S. Duncan (IPMI, 2023)

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; James S. Duncan (MICCAI (3), 2023)

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; Jasjeet S. Sekhon; James S. Duncan (MICCAI (4), 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; David A. Clifton; S. Kevin Zhou; Lawrence H. Staib; James S. Duncan (NeurIPS, 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; Xiaoran Zhang; Chen Feng; David A. Clifton; S. Kevin Zhou; Lawrence Hamilton Staib; James S. Duncan (CoRR, 2023)

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. - Chenyu You; Yifei Min; Weicheng Dai; Jasjeet S. Sekhon; Lawrence H. Staib; James S. Duncan (CVPR, 2024)

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. - Chenyu You; Weicheng Dai; Fenglin Liu; Yifei Min; Nicha C. Dvornek; Xiaoxiao Li; David A. Clifton; Lawrence H. Staib; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)