Charley Gros
Charley Gros
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Cited by
Cited by
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C Gros, B De Leener, A Badji, J Maranzano, D Eden, SM Dupont, ...
Neuroimage 184, 901-915, 2019
Spatial distribution of multiple sclerosis lesions in the cervical spinal cord
D Eden, C Gros, A Badji, SM Dupont, B De Leener, J Maranzano, ...
Brain 142 (3), 633-646, 2019
Generic acquisition protocol for quantitative MRI of the spinal cord
J Cohen-Adad, E Alonso-Ortiz, M Abramovic, C Arneitz, N Atcheson, ...
Nature protocols 16 (10), 4611-4632, 2021
Convolutional neural network–based automated segmentation of the spinal cord and contusion injury: Deep learning biomarker correlates of motor impairment in acute spinal cord …
DB McCoy, SM Dupont, C Gros, J Cohen-Adad, RJ Huie, A Ferguson, ...
American Journal of Neuroradiology 40 (4), 737-744, 2019
SoftSeg: Advantages of soft versus binary training for image segmentation
C Gros, A Lemay, J Cohen-Adad
Medical image analysis 71, 102038, 2021
Spinal cord gray matter atrophy in amyotrophic lateral sclerosis
MÊ Paquin, MM El Mendili, C Gros, SM Dupont, J Cohen-Adad, PF Pradat
American Journal of Neuroradiology 39 (1), 184-192, 2018
Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
J Cohen-Adad, E Alonso-Ortiz, M Abramovic, C Arneitz, N Atcheson, ...
Scientific Data 8 (1), 219, 2021
Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability
A Kerbrat, C Gros, A Badji, E Bannier, F Galassi, B Combès, R Chouteau, ...
Brain 143 (7), 2089-2105, 2020
Automatic spinal cord localization, robust to MRI contrasts using global curve optimization
C Gros, B De Leener, SM Dupont, AR Martin, MG Fehlings, R Bakshi, ...
Medical image analysis 44, 215-227, 2018
Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning
A Lemay, C Gros, Z Zhuo, J Zhang, Y Duan, J Cohen-Adad, Y Liu
NeuroImage: Clinical 31, 102766, 2021
Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
F Paugam, J Lefeuvre, CS Perone, C Gros, DS Reich, P Sati, ...
Magnetic resonance imaging 64, 21-27, 2019
ivadomed: A Medical Imaging Deep Learning Toolbox
C Gros, A Lemay, O Vincent, L Rouhier, MH Bourget, A Bucquet, ...
arXiv preprint arXiv:2010.09984, 2021
Label fusion and training methods for reliable representation of inter-rater uncertainty
A Lemay, C Gros, EN Karthik, J Cohen-Adad
arXiv preprint arXiv:2202.07550, 2022
A cross-sectional study on the impact of arterial stiffness on the corpus callosum, a key white matter tract implicated in Alzheimer’s disease
A Badji, AN de la Colina, T Boshkovski, D Sabra, A Karakuzu, ...
Journal of Alzheimer's Disease 77 (2), 591-605, 2020
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
O Vincent, C Gros, J Cohen-Adad
arXiv preprint arXiv:2105.02197, 2021
OptiC: Robust and automatic spinal cord localization on a large variety of MRI data using a distance transform based global optimization
C Gros, B De Leener, SM Dupont, AR Martin, MG Fehlings, R Bakshi, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Vulnerable, but still poorly known, marine ecosystems: how to make distribution models more relevant and impactful for conservation and management of vmes?
C Gros, J Jansen, PK Dunstan, DC Welsford, NA Hill
Frontiers in Marine Science 9, 870145, 2022
Identifying vulnerable marine ecosystems: an image-based vulnerability index for the Southern Ocean seafloor
C Gros, J Jansen, C Untiedt, TRR Pearman, R Downey, DKA Barnes, ...
ICES Journal of Marine Science 80 (4), 972-986, 2023
Benefits of linear conditioning for segmentation using metadata
A Lemay, C Gros, O Vincent, Y Liu, JP Cohen, J Cohen-Adad
Medical Imaging with Deep Learning, 416-430, 2021
Benefits of linear conditioning with metadata for image segmentation
A Lemay, C Gros, O Vincent, Y Liu, JP Cohen, J Cohen-Adad
arXiv preprint arXiv:2102.09582, 2021
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