Research Project:
“Une Assemblée d’IA pour la Prédiction des Maladies Neurologiques”
This research project focuses on developing artificial intelligence techniques for the prediction of neurological diseases using MRI (Magnetic Resonance Imaging). The goal is to assist clinicians in differential diagnosis by creating robust and fast deep learning methods for automatic disease detection, especially for pathologies such as Alzheimer’s Disease, Fronto-Temporal Dementia, and Dementia with Lewy Bodies.

Objectives:

1. Overcoming deep learning limitations in medical imaging for early diagnosis of neurological diseases.
2. Developing new tools for dementia diagnosis, including Alzheimer’s Disease, which affects over 50 million people globally.
3. Collaborating with experts from Bordeaux Hospital and the Institute of Neurodegenerative Diseases.

Collaborators:

• Dr. Pierrick Coupé (LaBRI, University of Bordeaux)
• Dr. Rémi Giraud (IMS, University of Bordeaux)
• Pr. José Manjon (Polytechnic University of Valencia, Spain)

Technology:

• Focus on advanced deep learning architectures such as transformers and collective artificial intelligence (AI assemblies).
• Methods could be deployed on platforms volBrain, a free MRI brain volumetry system that has processed over 500,000 MRI scans globally.