Chanwoo Kim

This paper introduces PICASSO, a framework that makes pathology foundation models interpretable and controllable by decomposing embeddings into human-interpretable visual concepts, enabling new biological insights and downstream applications.

MarcoPolo identifies differentially expressed genes without clustering, improving reliability by directly learning group information from gene expression bimodality.