Julien Caldéraro

This paper develops a self-supervised learning model to predict iCCA transcriptomic classes from histological images, achieving good to very good performance in multiple validation sets.

This paper introduces HE2RNA, a deep learning model that predicts RNA-Seq profiles from histology slides without expert annotation, showing improved performance in predicting microsatellite instability.