A new strategy to improve coregistration of spect and MR images in patients with high grade glioma. - Jean-Marc Tacchella; Elodie Roullot; Muriel Lefort; Mike-Ely Cohen; Rémy Guillevin; Gregorio Petrirena; Jean-Yves Delattre; Marie Odile Habert; Nathanaelle Yeni; Aurélie Kas; Frédérique Frouin (EMBC, 2013)

A Framework using multimodal imaging for longitudinal monitoring of patients in neuro-oncology. Application to a SPECT/MRI study. - Jean-Marc Tacchella; Nathanaelle Yeni; Elodie Roullot; Muriel Lefort; Mike-Ely Cohen; Rémy Guillevin; Gregorio Petrirena; Jean-Yves Delattre; Marie Odile Habert; Aurélie Kas; Frédérique Frouin (EMBC, 2014)

Non-rigid registration of magnetic resonance imaging of brain. - Clément Chesseboeuf; Hermine Biermé; Julien Dambrine; Carole Guillevin; Rémy Guillevin (IPTA, 2015)

Diffuse Low Grade Glioma NMR Assessment for Better Intra-operative Targeting Using Fuzzy Logic. - Mathieu Naudin; Benoit Tremblais; Carole Guillevin; Rémy Guillevin; Christine Fernandez-Maloigne (ACIVS, 2018)

Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. - Alexandre Fenneteau; Pascal Bourdon; David Helbert; Christine Fernandez-Maloigne; Christophe Habas; Rémy Guillevin (3DMDP, 2020)

An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences. - Matthieu Coupet; Thierry Urruty; Teerapong Leelanupab; Mathieu Naudin; Pascal Bourdon; Christine Fernandez-Maloigne; Rémy Guillevin (ICONIP (1), 2020)

Assigning a new glioma grade label ground-truth for the BraTS dataset using radiologic criteria. - Paul Dequidt; Pascal Bourdon; Benoit Tremblais; Carole Guillevin; Benoit Gianelli; Claire Boutet; Jean-Philippe Cottier; Jean-Noël Vallée; Christine Fernandez-Maloigne; Rémy Guillevin (IPTA, 2020)

CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural Network Architectures. - Saifeddine Rjiba; Thierry Urruty; Pascal Bourdon; Christine Fernandez-Maloigne; Roger Delepaule; Luc-Philippe Christiaens; Rémy Guillevin (IPTA, 2020)

7T MRI super-resolution with Generative Adversarial Network. - Huy Do; Pascal Bourdon; David Helbert; Mathieu Naudin; Rémy Guillevin (3D Imaging and Applications, 2021)

MRS-XNet: An Explainable One-Dimensional Deep Neural Network for Magnetic Spectroscopic Data Classification. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Adrien Julian; Rémy Guillevin (ICIP, 2022)

MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain 18F-FDG PET Imaging. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Christine Fernandez-Maloigne; Rémy Guillevin (PRIME@MICCAI, 2022)

Attention-guided neural network for early dementia detection using MRS data. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Adrien Julian; Christine Fernandez-Maloigne; Rémy Guillevin (Comput. Medical Imaging Graph., 2022)

A multi-sequences MRI deep framework study applied to glioma classfication. - Matthieu Coupet; Thierry Urruty; Teerapong Leelanupab; Mathieu Naudin; Pascal Bourdon; Christine Fernandez-Maloigne; Rémy Guillevin (Multim. Tools Appl., 2022)

MR Spectroscopy Spectrum Fitting Using a Physically Informed Neural Network. - Landoline Bonnin; Wissal Ramchi; Pascal Bourdon; Carole Guillevin; Rémy Guillevin; Clement Giraud; Christine Fernandez-Maloigne (MICAD, 2024)

Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. - Pierre Fayolle; Alexandre Bône; Noëlie Debs; Mathieu Naudin; Pascal Bourdon; Rémy Guillevin; David Helbert (ISBI, 2025)