Master in Biomedical Engineering (BioImaging) from BME Paris (Arts et Métiers, Université de Paris, PSL, Télécom)
Deep learning for rating of atypical anatomical patterns on MRI data.
Incomplete hippocampal inversion (IHI) is an atypical anatomical pattern of the brain found in 15 to 20% of the general population which’s origins and link to different pathologies are still unknown. The aim of this project is to develop automatic rating methods based on anatomical criteria to apply them to big databases which would prove difficult to annotate manually. Using this data, we will perform genome wide association studies as well as heritability studies and study correlations to different pathologies.