Andrew H. Beck

This paper introduces a deep learning model to predict collagen from H&E-stained images, enabling collagen quantification across cancer types and linking it to clinical outcomes.

This paper develops a method to predict molecular phenotypes from cancer pathology images using interpretable features, showing correlations with tumor microenvironment markers and predictive power for molecular signatures.