1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu, Bo Li, Meike W. Vernooij +3
This study addresses the challenges of confounding effects and interpretability in artificial-intelligence-based medical image analysis. Whereas existing literature often resolves…
cs.CV2021★ 1 cited
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
Xianjing Liu, Bo Li, Esther Bron +3
Confounding bias is a crucial problem when applying machine learning to practice, especially in clinical practice. We consider the problem of learning representations independent t…