Diplôme d’ingénieur (Institut des sciences et industries du vivant et de l’environnement – AgroParisTech)
Master Mathématiques, Informatique, Décision et Organisation (Université Paris Dauphine-PSL)
Master de sciences cognitives (CogMaster de l’ENS)
Detection and analysis of anomalies in fetal images for early diagnosis and care.
Agenesis of the corpus callosum is one of the most frequent fetal cerebral anomalies. It can cause motor, learning and social delays. This thesis aims at detecting automatically agenesis of the corpus callosum in fetal MRI, analyzing its temporal evolution during pregnancy, and correlating features extracted from the images with the children neurodevelopmental outcome. In a clinical setting, this would lead to a more precise diagnosis of the disease and prediction of its neurological impairments, ensuring an anticipated follow-up of the patients.