The paper introduces a deep learning tool, SHIVA-WMH, for detecting white matter hyperintensities across different WMH severities and demonstrates its superior performance compared to existing methods.

Human Brain Mapping · Dec 5, 2023Peer-reviewedNeuroscience

The MRi-Share database: brain imaging in a cross-sectional cohort of 1,870 university students

Ami Tsuchida, Alexandre Laurent, Fabrice Crivello, Laurent Petit, Marc Joliot, Antonietta Pepe, Naka Beguedou, Marie-Fateye Gueye, Violaine Verrecchia, Victor Nozais, Laure Zago, Nathalie Tzourio‐Mazoyer, Emmanuel Mellet, Stéphanie Debette, Christophe Tzourio, Bernard M. Mazoyer

The paper introduces the MRi-Share database, a multi-modal brain MRI dataset of 1,870 young adults, and presents preliminary findings on age and sex associations with brain phenotypes.

Brain Structure and Function · Jul 20, 2021Peer-reviewedNeuroscience

3D segmentation of perivascular spaces on T1-weighted 3 Tesla MR images with a convolutional autoencoder and a U-shaped neural network

Philippe Boutinaud, Ami Tsuchida, Alexandre Laurent, Filipa Adonias, Zahra Hanifehlou, Victor Nozais, Violaine Verrecchia, Leonie Lampe, Junyi Zhang, Yi‐Cheng Zhu, Christophe Tzourio, Bernard M. Mazoyer, Marc Joliot

This paper develops a deep learning algorithm for 3D segmentation of perivascular spaces in MRI data, achieving high accuracy and demonstrating interoperability across scanners.

Frontiers in Neuroinformatics · Jun 18, 2021Peer-reviewedNeuroscience

Deep learning-based classification of resting-state fMRI independent-component analysis

Victor Nozais, Philippe Boutinaud, Violaine Verrecchia, Marie-Fateye Gueye, Pierre‐Yves Hervé, Christophe Tzourio, Bernard M. Mazoyer, Marc Joliot

The paper develops a deep learning classifier to assign independent components from resting-state fMRI to predefined resting-state networks, achieving 92% accuracy and creating an RSN atlas.

Neuroinformatics · Feb 4, 2021Peer-reviewedNeuroscience