SEIZURE

ANR-24-CE45-4399 · Panel CE45

SEIZURE

Seeing the EpileptogenIc Zone through machine Learning on strUctuRal and functional nEuroimaging data

Fusing MRI, PET and MEG with machine learning to localize the epileptogenic zone in drug-resistant epilepsy and predict surgical outcome.

Dec 2024 – Nov 2028 48 months Coordinator Carole Lartizien
Explore the project Members Publications Positions
ANR CREATIS CRNL ENS de Lyon HCL CNRS Inserm INSA Lyon Inria
Multimodal fusion for epileptogenic zone localization Three imaging modalities, MRI, PET and MEG, feed a machine learning graph that localizes the epileptogenic zone. MRI PET MEG AI EZ
Latest news
Jun 2025Hiring
We are hiring a Master intern
Spherical deep learning for epileptogenic zone localization, in WP4 at CREATIS.
May 2025Publication
New article in Computer Methods and Programs in Biomedicine
GAN based synthetic FDG PET from T1 MRI improves unsupervised anomaly detection.
Dec 2024Milestone
SEIZURE kicks off
Funded by the ANR for 48 months, coordinated by CREATIS with CRNL, ENS de Lyon and HCL.
Publications All
■preprint · 2026
OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
■journal · 2026
DeepEpiX: A software for visualization, annotation and automatic epileptical spike detection in MEG recordings
Journal of Neuroscience Methods
■journal · 2026
Automated interictal epileptic spike detection from simple and noisy annotations in MEG data
Brain Structure and Function
Open positions All
MasterWP4
Spherical deep learning models for epileptogenic zone localization
CREATIS, INSA Lyon (Villeurbanne)