| 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 | 219 | 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 | 99 | 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 | 71 | 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 | 64 | 2019 |
| SoftSeg: Advantages of soft versus binary training for image segmentation C Gros, A Lemay, J Cohen-Adad Medical image analysis 71, 102038, 2021 | 58 | 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 | 51 | 2018 |
| 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 | 46 | 2020 |
| 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 | 45 | 2021 |
| 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 | 43 | 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 | 32 | 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 | 22 | 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 | 17 | 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 | 12 | 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 | 11 | 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 | 9 | 2021 |
| 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 | 6 | 2022 |
| 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 | 6 | 2017 |
| 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 | 5 | 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 | 5 | 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 | 3 | 2021 |
Julien Cohen-Adad, PhDAssociate Professor of Biomedical Engineering, Polytechnique MontrealVerified email at polymtl.ca
