Documents publiés en "2017"

Département de génie électrique

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

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

Département de génie informatique et génie logiciel

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

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

Institut de génie biomédical

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