48 citations · 86 across the 2 of their papers we have counts for
2 papers
eess.IV2021★ 38 cited
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…
eess.IV2020★ 48 cited
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…