Localisation des tumeurs en TEP-FDG
Tumors Location on PET-FDG
Même sujet à différentes échelles / modalités
Same subject at different scales / modalities
Analyse de forme (RIM)
Shape Analyse (RIM)
Harmonisation de paramètres
Feature Harmonization
Analyse de Texture 2D ou 3D
2D or 3D Texture Analysis
IRIS Team
Welcome to IRIS

The primary objective of the BIOMEDE-IA project (2020-2024) was to predict by machine learning methods the main genomic mutations of patients with diffuse intrinsic pontine gliomas from their clinical and imaging (multi-parametric MRI) features, to manage the cases for which biopsy is not available. We also predicted subjects with long survival; i.e. greater than two years. This project, carried out in collaboration with Gustave-Roussy, Necker Hospital and Neurospin, is based on data acquired by clinical trials BIOMEDE (2014-2019) and BIOMEDE2 (2022-2028).

Publications :DOI :10.1093/neuonc/noae064.360, DOI:10.3389/fmed.2023.1071447, DOI:10.3390/cancers13236113,DOI: 10.1109/EMBC46164.2021.9629704, DOI :10.1007/978-3-030-80209-7_83

People involved in the lab: Joseph Al Khoury, Frédérique Frouin (PI). Alumni: Fahad Khalid, Stéphanie Jehan-Besson.