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Jean-Baptiste SCHIRATTI
Jean-Baptiste SCHIRATTI
Owkin
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Cited by
Cited by
Year
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
1062021
Learning spatiotemporal trajectories from manifold-valued longitudinal data
JB Schiratti, S Allassonniere, O Colliot, S Durrleman
Advances in neural information processing systems 28, 2015
872015
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
622017
Spatiotemporal propagation of the cortical atrophy: Population and individual patterns
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonniere, ...
Frontiers in neurology 9, 235, 2018
332018
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
322017
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
272020
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
252021
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
232018
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
212015
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
112021
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
82020
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
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images. 1 2021
K Schutte, O Moindrot, P Hérent, JB Schiratti, S Jégou
URL https://arxiv. org/abs/2101.07563 v1, 0
5
Methods and algorithms to learn spatio-temporal changes from longitudinal manifold-valued observations
JB Schiratti
Université Paris-Saclay (ComUE), 2017
42017
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
32022
PULS-AI: A multimodal artificial intelligence model to predict survival of solid tumor patients treated with antiangiogenics
K Schutte, F Brulport, S Harguem-Zayani, JB Schiratti, R Ghermi, ...
Cancer Research 82 (12_Supplement), 1924-1924, 2022
2022
A Deep Learning Method for Identifying Predictors of Knee Osteoarthritis Radiographic Progression From Baseline MRI
JB Schiratti, R Dubois, P Herent, D Cahané, J Dachary, T Clozel, ...
2021
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
2020
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