48 citations · 93 across the 3 of their papers we have counts for
3 papers
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
Charlie Saillard, Olivier Dehaene, Tanguy Marchand +4
Microsatellite instability (MSI) is a tumor phenotype whose diagnosis largely impacts patient care in colorectal cancers (CRC), and is associated with response to immunotherapy in…
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
Kathryn Schutte, Olivier Moindrot, Paul Hérent +2
As AI-based medical devices are becoming more common in imaging fields like radiology and histology, interpretability of the underlying predictive models is crucial to expand their…
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene, Axel Camara, Olivier Moindrot +2
One of the biggest challenges for applying machine learning to histopathology is weak supervision: whole-slide images have billions of pixels yet often only one global label. The s…