Mathieu Naudin

According to our database, Mathieu Naudin authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge.

Iris N. Vos, Ynte M. Ruigrok, Edwin Bennink, Mireille R. E. Velthuis, Barbara Paic, Maud E. H. Ophelders, Myrthe A. D. Buser, Bas H. M. van der Velden, Chen Geng, Matthieu Coupet, Félix Dumais, Adrian Galdran, Junyi Zhang, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K. P., Keerthi A. S. Pillai, Pengcheng Shi, Thierry Urruty, Yakang Dai, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf

Medical Image Anal., 2025

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Topological 3D reconstruction of multiple anatomical structures from volumetric medical data.

Sylvain Gerbaud, Arthur Cavalier, Sébastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin, Philippe Meseure

Comput. Graph., 2024

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

A Hybrid Method for 3D Reconstruction of MR Images.

Loubna Lechelek, Sébastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin

J. Imaging, 2022

2021

7T MRI super-resolution with Generative Adversarial Network.

Huy Do, Pascal Bourdon, David Helbert, Mathieu Naudin, Rémy Guillevin

Proceedings of the 3D Imaging and Applications 2021, online, January 11-28, 2021, 2021

2020

DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data.

Olfa Ben Ahmed, Seifeddine Fezzani, Carole Guillevin, Lobna Fezai, Mathieu Naudin, Benoit Gianelli, Christine Fernandez-Maloigne

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2018

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

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018