2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
Weiren Zhao, Yi Dong, Cheng Chen
Unifying multimodal understanding and generation is a compelling frontier that is beginning to emerge in the medical field. However, the limited existing unified medical models typ…
cs.CV2025
MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation
Weiren Zhao, Lanfeng Zhong, Xin Liao +4
Semi-Supervised Learning (SSL) is important for reducing the annotation cost for medical image segmentation models. State-of-the-art SSL methods such as Mean Teacher, FixMatch and…
eess.IV2025★ 2 cited
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
Weiren Zhao, Feng Wang, Yanran Wang +3
Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. Wh…