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Items where Author is "Reich, Daniel S."

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Number of items: 8.

B

Benveniste, P.-L., Létourneau-Guillon, L., Araújo, D., Chougar, L., Fetco, D., Hori, M., Kamiya, K., Messina, S., Tsagkas, C., Audoin, B., Bakshi, R., Bannier, E., Blezek, D., Brisset, J.-C., Callot, V., Charlson, E., Chen, M., Ciccarelli, O., Demortière, S., ... Cohen-Adad, J. (2026). Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers. Multiple Sclerosis Journal. External link

Bagnato, F., Gauthier, S. A., Laule, C., Moore, G. R. W., Bove, R., Cai, Z., Cohen-Adad, J., Harrison, D. M., Klawiter, E. C., Morrow, S. A., Öz, G., Rooney, W. D., Smith, S. A., Calabresi, P. A., Henry, R. G., Oh, J., Ontaneda, D., Pelletier, D., Reich, D. S., ... Sicotte, N. L. (2020). Imaging Mechanisms of Disease Progression in Multiple Sclerosis: Beyond Brain Atrophy. Journal of Neuroimaging, 30(3), 251-266. External link

E

Enamundram, M. V. N. K., Bédard, S., Valošek, J., Aigner, C. S., Bannier, E., Bednařík, J., Callot, V., Combes, A., Curt, A., David, G., Eippert, F., Farner, L., Fehlings, M. G., Freund, P., Granberg, T., Granziera, C., Horn, U., Horák, T., Humphreys, S., ... Cohen-Adad, J. (2026). Monitoring morphometric drift in lifelong learning segmentation of the spinal cord. Imaging Neuroscience, 40 pages. External link

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. External link

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. External link

K

Kerbrat, A., Gros, C., Badji, A., Bannier, É., Galassi, F., Combès, B., Chouteau, R., Labauge, P., Ayrignac, X., Carra-Dalliere, C., Maranzano, J., Granberg, T., Ouellette, R., Stawiarz, L., Hillert, J., Talbott, J., Tachibana, Y., Hori, M., Kamiya, K., ... Cohen-Adad, J. (2020). Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability. Brain, 143(7), 2089-2105. External link

L

Laines Medina, N. J., Mchinda, S., Testud, B., Demortière, S., Pravatà, E., Nair, G., Reich, D. S., Granziera, C., Tsagkas, C., Callot, V., & Cohen-Adad, J. (2026). Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images. Multiple Sclerosis and Related Disorders, 111, 107250. External link

P

Paugam, F., Lefeuvre, J., Perone, C. S., Gros, C., Reich, D. S., Sati, P., & Cohen-Adad, J. (2019). Open-source pipeline for multi-class segmentation of the spinal cord with deep learning. Magnetic Resonance Imaging, 64, 21-27. External link

List generated on: Fri Sep 4 21:09:39 2026 EDT