GLITAI : Glioma Tumor detection and grade identification using Artificial Intelligence

The project

The GLITAI project (GLIoma Tumor Detection and Grade Identification Using Artificial Intelligence) aims to establish collaboration with the team led by Professor Seung Hong Choi, a neuroradiologist who also has access to a 7T MRI scanner. The goal is to jointly develop new AI-based approaches for identifying and predicting glioma grade using high-field magnetic resonance imaging.

Sponsored by

Olfa Ben-Ahmed, I3M, XLIM CNRS Laboratory – UMR 7252 – University of Poitiers and Rémy Guillevin, Poitiers University Hospital

Social and economic partners

• Molecular and translational neuroimaging Lab and Department of Radiology, Seoul National University Hospital
• Within I3M: SIEMENS HEALTHINEERS and Poitiers University Hospital

Pierre Fayolle’s thesis

Artificial Intelligence Methods for Post-Processing of Cerebral Perfusion MRI and Optimization of Injection Strategies – I3M: Imaging and AI for Tomorrow’s Medical Innovations