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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
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
Ouellette, R., Granberg, T., Treaba, C. A., Herranz, E., De Leener, B., Sloane, J. A., Tauhid, S., Yousuf, F., Dupont, S. M., Klawiter, E. C., Bakshi, R., Cohen-Adad, J., & Mainero, C. (2017). In vivo characterization of grey and white matter spinal cord pathology in multiple sclerosis using ultra high field MRI (P4.365). Neurology, 88(16_supplem). Lien externe
Prados, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M. J., Conrad, B. N., Datta, E., Dávid, 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
