985 citations · 1k across the 4 of their papers we have counts for
4 papers
Federated Learning for Medical Image Analysis: A Survey
Hao Guan, Pew-Thian Yap, Andrea Bozoki +1
Machine learning in medical imaging often faces a fundamental dilemma, namely, the small sample size problem. Many recent studies suggest using multi-domain data pooled from differ…
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang, Pew-Thian Yap, Weili Lin +2
Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention for tackling domain-shift problems caused by distribution discrepancy across different doma…
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
Hao Guan, Mingxia Liu
Domain adaptation (DA) is an important technique for modern machine learning-based medical data analysis, which aims at reducing distribution differences between different medical…
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan, Mingxia Liu
Machine learning techniques used in computer-aided medical image analysis usually suffer from the domain shift problem caused by different distributions between source/reference da…