Fiche de THIBEAU--SUTRE Elina

Titre : Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer's disease from neuroimaging data
Date : 8 décembre 2021
Heure: 14:30
Résumé : The goal of the PhD was the validation of the existence and the discovery of new subtypes of Alzheimer's disease, the first cause of dementia worldwide. Indeed, despite its discovery more than a century ago, it is still not well defined and existing treatments are only weakly effective, possibly because several phenotypes exist within the disease. In order to explore its heterogeneity, we employed deep learning methods applied to a neuroimaging modality, structural magnetic resonance imaging (MRI).
Lieu : Sorbonne Université Médecine salle 122 91 boulevard de l’hôpital 75013 Paris