68 citations · 126 across the 6 of their papers we have counts for
3 papers · 1 filter
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle +35
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Publ…
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…