Doctoral project “Une Assemblée d’IA pour la Prédiction des Maladies Neurologiques” within the Images and Sound team at LaBRI (UMR 5800).

Designing ensembles of deep learning models for 3D brain MRI to support differential diagnosis of Alzheimer’s disease, frontotemporal dementia, and dementia with Lewy bodies, under the supervision of Pierrick Coupé (advisor), Rémi Giraud (co-advisor), and Boris Mansencal in the Mathematics and Computer Science doctoral school. Collaborative work with Bordeaux University Hospital and the Institute of Neurodegenerative Diseases.

Keywords: MRI, deep learning, transformers, differential diagnosis, semi-supervised learning.

Used convolutional neural networks to characterize texture orientations in supervised learning experiments.

Supervised by Kévin Polisano.

Courses included:

• Machine Learning and Neural Networks
• Advanced Data Analysis
• Probability Theory and Stochastic Processes