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Documents dont l'auteur est "Dupont, Sara M."

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Nombre de documents: 9

D

Dupont, S. M., De Leener, B., Taso, M., Le Troter, A., Nadeau, S., Stikov, N., Callot, V., & Cohen-Adad, J. (2017). Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter. NeuroImage, 150, 358-372. Lien externe

De Leener, B., Lévy, S., Dupont, S. M., Fonov, V. S., Stikov, N., Collins, D. L., Callot, V., & Cohen-Adad, J. (2017). SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. NeuroImage, 145, 24-43. Lien externe

E

Eden, D., Gros, C., Badji, A., Dupont, S. M., De Leener, B., Maranzano, J., Zhuoquiong, R., Liu, Y., Granberg, T., Ouellette, R., Stawiarz, L., Hillert, J., Talbott, J., Bannier, É., Kerbrat, A., Edan, G., Labauge, P., Callot, V., Pelletier, J., ... Cohen-Adad, J. (2019). Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain, 142(3), 633-646. Lien externe

G

Gros, C., De Leener, B., Badji, A., Maranzano, J., Eden, D., Dupont, S. M., Talbott, J., Zhuoquiong, R., Liu, Y., Granberg, T., Ouellette, R., Tachibana, Y., Hori, M., Kamiya, K., Chougar, L., Stawiarz, L., Hillert, J., Bannier, É., Kerbrat, A., ... Cohen-Adad, J. (2019). Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. NeuroImage, 184, 901-915. Lien externe

Gros, C., De Leener, B., Dupont, S. M., Martin, A. R., Fehlings, M. G., Bakshi, R., Tummala, S., Auclair, V., McLaren, D. G., Callot, V., Cohen-Adad, J., & Sdika, M. (2018). Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Analysis, 44, 215-227. Lien externe

Gros, C., De Leener, B., Dupont, S. M., Martin, A. R., Fehlings, M. G., Bakshi, R., Tummala, S., Auclair, V., McLaren, D. G., Callot, V., Sdika, M., & Cohen-Adad, J. (septembre 2017). OptiC: Robust and automatic spinal cord localization on a large variety of MRI data using a distance transform based global optimization [Communication écrite]. 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017), Québec City, QC, Canada. Lien externe

O

Ouellette, R., Treaba, C. A., Granberg, T., Herranz, E., Barletta, V., Mehndiratta, A., De Leener, B., Tauhid, S., Yousuf, F., Dupont, S. M., Klawiter, E. C., Sloane, J. A., Bakshi, R., Cohen-Adad, J., & Mainero, C. (2020). 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain, 143(10), 2973-2987. Lien externe

P

Paquin, M.-Ê., El Mendili, M. M., Gros, C., Dupont, S. M., Cohen-Adad, J., & Pradat, P. F. (2018). Spinal Cord Gray Matter Atrophy in Amyotrophic Lateral Sclerosis. American Journal of Neuroradiology, 39(1), 184-192. Lien externe

Prados, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M. J., Conrad, B. N., Datta, E., David, G., De Leener, B., Dupont, S. M., Freund, P., Wheeler-Kingshott, C. A. M. G., Grussu, F., Henry, R., Landman, B. A., Ljungberg, E., Lyttle, B., Ourselin, S., ... Cohen-Adad, J. (2017). Spinal cord grey matter segmentation challenge. NeuroImage, 152, 312-329. Disponible

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