Jean-Christophe Pesquet

Laboratoire
CVN
Mots cles
optimization, inverse problems, artificial intelligence, signal and image processing
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Publications (394)

Article dans une revue 01/01/2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nathalie Lassau , Samy Ammari , Hugo Gortais , Paul Herent , Matthieu Devilder , Samer Soliman , Olivier Meyrignac , Marie-Pauline Talabard , Jean-Philippe Lamarque , Rémy Dubois , Nicolas Loiseau , Paul Trichelair , Etienne Bendjebbar , Gabriel Garcia , Corinne Balleyguier , Mansouria Merad , Annabelle Stoclin , Simon Jegou , Franck Griscelli , Emilie Chouzenoux , Jean-Christophe Pesquet , Hugues Talbot
Rapport 15/05/2020
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
Nathalie Lassau , Samy Ammari , Hugo Gortais , Paul Herent , Matthieu Devilder , Samer Soliman , Olivier Meyrignac , Marie-Pauline Talabard , Jean-Philippe Lamarque , Rémy Dubois , Nicolas Loiseau , Paul Trichelair , Etienne Bendjebbar , Gabriel C Garcia , Corinne Balleyguier , Mansouria Merad , Annabelle Stoclin , Simon Jegou , Franck Griscelli , Emilie Chouzenoux , Jean-Christophe Pesquet , Hugues Talbot