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Jean-Baptiste SCHIRATTI
Jean-Baptiste SCHIRATTI
Owkin
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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
1592021
Learning spatiotemporal trajectories from manifold-valued longitudinal data
JB Schiratti, S Allassonniere, O Colliot, S Durrleman
Advances in neural information processing systems 28, 2015
972015
A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations
JB Schiratti, S Allassonnière, O Colliot, S Durrleman
Journal of Machine Learning Research 18 (133), 1-33, 2017
822017
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
542021
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
402018
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
382020
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, 298610, 2018
362018
A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
JB Schiratti, R Dubois, P Herent, D Cahané, J Dachary, T Clozel, ...
Arthritis Research & Therapy 23, 1-10, 2021
352021
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
352017
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
JB Schiratti, S Allassonniere, A Routier, ...
Information Processing in Medical Imaging: 24th International Conference …, 2015
292015
Scaling self-supervised learning for histopathology with masked image modeling
A Filiot, R Ghermi, A Olivier, P Jacob, L Fidon, A Mac Kain, C Saillard, ...
medRxiv, 2023.07. 21.23292757, 2023
162023
AI-based multi-modal integration 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, ...
medRxiv, 2020.05. 14.20101972, 2020
92020
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. Nat Commun. 2021; 12: 634
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
8
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data
K Schutte, F Brulport, S Harguem-Zayani, JB Schiratti, R Ghermi, ...
European Journal of Cancer 174, 90-98, 2022
72022
Methods and algorithms to learn spatio-temporal changes from longitudinal manifold-valued observations
JB Schiratti
Université Paris Saclay (COmUE), 2017
72017
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
72015
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
32020
Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks
D Said, G Carbonell, D Stocker, S Hectors, N Vietti-Violi, O Bane, X Chin, ...
European Radiology 33 (9), 6020-6032, 2023
22023
623MO Machine Learning-based prediction of germinal center, MYC/BCL2 double protein expressor status, and MYC rearrangement from whole slide images in DLBCL patients
C Syrykh, JB Schiratti, E Brion, C Joubert, M Baia, L Marlot, C Maussion, ...
Annals of Oncology 33, S829, 2022
12022
Method for determining the temporal progression of a biological phenomenon and associated methods and devices
S Durrleman, JB Schiratti, S Allassonniere, O Colliot
US Patent 10,832,089, 2020
12020
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