Thomas Duboudin

Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization

2021 · arXiv (Cornell University)

Traditional deep learning algorithms often fail to generalize when they are tested outside of the domain of the training data. The issue can be mitigated by using unlabeled data from the target domain at training …

CytoSyn: a Foundation Diffusion Model for Histopathology - Tech Report

2026 · HAL (Le Centre pour la Communication Scientifique Directe)

<div> Computational pathology has made significant progress in recent years, fueling advances in both fundamental disease understanding and clinically ready tools. This evolution is driven by the availability of large amounts of digitized slides and …