Weicheng Dai

According to our database, Weicheng Dai authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance.

Chenyu Wang, Weicheng Dai, Han Liu, Wenchao Li, Kayhan Batmanghelich

CoRR, April, 2026

2025

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting.

Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich

CoRR, December, 2025

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., December, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts.

Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation.

Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan

Proceedings of the Information Processing in Medical Imaging, 2023

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, Lawrence H. Staib, James S. Duncan

CoRR, 2022