Jean-Baptiste SCHIRATTI
Jean-Baptiste SCHIRATTI
Owkin
Verified email at owkin.com
Title
Cited by
Cited by
Year
Learning spatiotemporal trajectories from manifold-valued longitudinal data
JB Schiratti, S Allassonniere, O Colliot, S Durrleman
Neural Information Processing Systems, 2015
532015
A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations
JB Schiratti, S Allassonnière, O Colliot, S Durrleman
The Journal of Machine Learning Research 18 (1), 4840-4872, 2017
342017
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ...
International conference on medical image computing and computer-assisted …, 2017
232017
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
JB Schiratti, S Allassonniere, A Routier, O Colliot, S Durrleman, ...
International Conference on Information Processing in Medical Imaging, 564-575, 2015
212015
Spatiotemporal propagation of the cortical atrophy: Population and individual patterns
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ...
Frontiers in neurology 9, 235, 2018
162018
An ensemble learning approach to detect epileptic seizures from long intracranial EEG recordings
JB Schiratti, JE Le Douget, M Le van Quyen, S Essid, A Gramfort
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
112018
Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment
P Blanc-Durand, JB Schiratti, K Schutte, P Jehanno, P Herent, F Pigneur, ...
Diagnostic and Interventional Imaging 101 (12), 789-794, 2020
62020
Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data
JB Schiratti, S Allassonnière, O Colliot, S Durrleman
5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, 2015
62015
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
Nature communications 12 (1), 1-11, 2021
42021
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
Inria Saclay Ile de France, 2020
42020
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
K Schutte, O Moindrot, P Hérent, JB Schiratti, S Jégou
arXiv preprint arXiv:2101.07563, 2021
22021
Methods and algorithms to learn spatio-temporal changes from longitudinal manifold-valued observations
JB Schiratti
Université Paris Saclay (COmUE), 2017
12017
Method for determining the temporal progression of a biological phenomenon and associated methods and devices
S Durrleman, J Schiratti, S Allassonniere, O Colliot
US Patent 10,832,089, 2020
2020
Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
medRxiv, 2020
2020
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