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Rémy Guillevin
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2020 – today
- 2022
- [j2]Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais
, Adrien Julian, Christine Fernandez-Maloigne, Rémy Guillevin:
Attention-guided neural network for early dementia detection using MRS data. Comput. Medical Imaging Graph. 99: 102074 (2022) - [j1]Matthieu Coupet, Thierry Urruty
, Teerapong Leelanupab
, Mathieu Naudin, Pascal Bourdon, Christine Fernandez-Maloigne, Rémy Guillevin:
A multi-sequences MRI deep framework study applied to glioma classfication. Multim. Tools Appl. 81(10): 13563-13591 (2022) - [c11]Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien Julian, Rémy Guillevin:
MRS-XNet: An Explainable One-Dimensional Deep Neural Network for Magnetic Spectroscopic Data Classification. ICIP 2022: 3923-3927 - [c10]Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Christine Fernandez-Maloigne, Rémy Guillevin:
MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain 18F-FDG PET Imaging. PRIME@MICCAI 2022: 79-90 - 2021
- [c9]Huy Do, Pascal Bourdon, David Helbert, Mathieu Naudin, Rémy Guillevin:
7T MRI super-resolution with Generative Adversarial Network. 3D Imaging and Applications 2021: 1-7 - 2020
- [c8]Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, Rémy Guillevin:
Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. 3DMDP 2020 - [c7]Matthieu Coupet, Thierry Urruty
, Teerapong Leelanupab, Mathieu Naudin, Pascal Bourdon, Christine Fernandez-Maloigne, Rémy Guillevin:
An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences. ICONIP (1) 2020: 113-125 - [c6]Paul Dequidt, Pascal Bourdon, Benoit Tremblais
, Carole Guillevin, Benoit Gianelli, Claire Boutet, Jean-Philippe Cottier, Jean-Noël Vallée, Christine Fernandez-Maloigne, Rémy Guillevin:
Assigning a new glioma grade label ground-truth for the BraTS dataset using radiologic criteria. IPTA 2020: 1-6 - [c5]Saifeddine Rjiba, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne, Roger Delepaule, Luc-Philippe Christiaens, Rémy Guillevin:
CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural Network Architectures. IPTA 2020: 1-6
2010 – 2019
- 2018
- [c4]Mathieu Naudin
, Benoit Tremblais
, Carole Guillevin, Rémy Guillevin, Christine Fernandez-Maloigne:
Diffuse Low Grade Glioma NMR Assessment for Better Intra-operative Targeting Using Fuzzy Logic. ACIVS 2018: 200-210 - 2015
- [c3]Clément Chesseboeuf, Hermine Biermé, Julien Dambrine
, Carole Guillevin, Rémy Guillevin:
Non-rigid registration of magnetic resonance imaging of brain. IPTA 2015: 385-390 - 2014
- [c2]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
:
A Framework using multimodal imaging for longitudinal monitoring of patients in neuro-oncology. Application to a SPECT/MRI study. EMBC 2014: 1905-1908 - 2013
- [c1]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
:
A new strategy to improve coregistration of spect and MR images in patients with high grade glioma. EMBC 2013: 4002-4005
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last updated on 2024-05-08 21:53 CEST by the dblp team
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