D. W. Kim

This paper develops a causal representation learning framework using hand-drawn images to extract robust Parkinson's Disease features for improved early detection.

This paper develops a CVAE-based framework to learn causal representations from retinal fundus images for AMD prediction, achieving better causal disentanglement and reliable diagnosis.

This paper uses causal deep learning methods to identify key mechanisms of mortality in heart failure patients from observational data.