Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images

no code implementations • 19 Jan 2021 • Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou

We validate our approach on histology and radiology images, and demonstrate its ability to provide meaningful explanations that are more informative than GradCAM heatmaps.

Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

no code implementations • 25 Sep 2017 • Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman

Model parameters show the variability of this average pattern of atrophy in terms of trajectories across brain regions, age at disease onset and pace of propagation.

Learning spatiotemporal trajectories from manifold-valued longitudinal data

no code implementations • NeurIPS 2015 • Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman

The model allows to estimate a group-average trajectory in the space of measurements.