Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data

por Jaotombo, Franck, Adorni, Luca, Ghattas, Badih, Boyer, Laurent
Publicado 2023

FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN)

por Bazangani, Farideh, Richard, Frédéric J. P., Ghattas, Badih, Guedj, Eric
Publicado 2022

Computerized adaptive testing with decision regression trees: an alternative to item response theory for quality of life measurement in multiple sclerosis

por Michel, Pierre, Baumstarck, Karine, Loundou, Anderson, Ghattas, Badih, Auquier, Pascal, Boyer, Laurent
Publicado 2018

Machine-learning prediction for hospital length of stay using a French medico-administrative database

por Jaotombo, Franck, Pauly, Vanessa, Fond, Guillaume, Orleans, Veronica, Auquier, Pascal, Ghattas, Badih, Boyer, Laurent
Publicado 2022

Using the random forest method to detect a response shift in the quality of life of multiple sclerosis patients: a cohort study

por Boucekine, Mohamed, Loundou, Anderson, Baumstarck, Karine, Minaya-Flores, Patricia, Pelletier, Jean, Ghattas, Badih, Auquier, Pascal
Publicado 2013

A Multidimensional Computerized Adaptive Short-Form Quality of Life Questionnaire Developed and Validated for Multiple Sclerosis: The MusiQoL-MCAT

por Michel, Pierre, Baumstarck, Karine, Ghattas, Badih, Pelletier, Jean, Loundou, Anderson, Boucekine, Mohamed, Auquier, Pascal, Boyer, Laurent
Publicado 2016

Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database

por Jaotombo, Franck, Pauly, Vanessa, Auquier, Pascal, Orleans, Veronica, Boucekine, Mohamed, Fond, Guillaume, Ghattas, Badih, Boyer, Laurent
Publicado 2020

Muscle Quantitative MR Imaging and Clustering Analysis in Patients with Facioscapulohumeral Muscular Dystrophy Type 1

por Lareau-Trudel, Emilie, Le Troter, Arnaud, Ghattas, Badih, Pouget, Jean, Attarian, Shahram, Bendahan, David, Salort-Campana, Emmanuelle
Publicado 2015

Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19

por Bartoli, Axel, Fournel, Joris, Ait-Yahia, Léa, Cadour, Farah, Tradi, Farouk, Ghattas, Badih, Cortaredona, Sébastien, Million, Matthieu, Lasbleiz, Adèle, Dutour, Anne, Gaborit, Bénédicte, Jacquier, Alexis
Publicado 2022

Value and prognostic impact of a deep learning segmentation model of COVID-19 lung lesions on low-dose chest CT

por Bartoli, Axel, Fournel, Joris, Maurin, Arnaud, Marchi, Baptiste, Habert, Paul, Castelli, Maxime, Gaubert, Jean-Yves, Cortaredona, Sebastien, Lagier, Jean-Christophe, Million, Matthieu, Raoult, Didier, Ghattas, Badih, Jacquier, Alexis
Publicado 2022