43 citations · 137 across the 7 of their papers we have counts for
7 papers
CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
Yizhou Fang, Pujin Cheng, Yixiang Liu +2
Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in u…
CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift
Yizhou Fang, Pujin Cheng, Yixiang Liu +2
Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in u…
Improving Representation of High-frequency Components for Medical Visual Foundation Models
Yuetan Chu, Yilan Zhang, Zhongyi Han +5
Foundation models have recently attracted significant attention for their impressive generalizability across diverse downstream tasks. However, these models are demonstrated to exh…
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou +13
Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…
SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model
Juexiao Zhou, Xiaonan He, Liyuan Sun +7
Skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases, impacting a considerable portion of the population. Nonetheless,…
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Juexiao Zhou, Longxi Zhou, Di Wang +5
Heterogeneous data is endemic due to the use of diverse models and settings of devices by hospitals in the field of medical imaging. However, there are few open-source frameworks f…
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
Juexiao Zhou, Haoyang Li, Xingyu Liao +5
Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries. However, with the developmen…