Sara M. Dupont, Benjamin De Leener
, Manuel Taso, Arnaud Le Troter, Sylvie Nadeau, Nikola Stikov, Virginie Callot and Julien Cohen-Adad
Article (2017)
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| Department: |
Department of Electrical Engineering Department of Computer Engineering and Software Engineering |
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| Research Center: | NeuroPoly - Laboratoire de Recherche en Neuroimagerie |
| PolyPublie URL: | https://publications.polymtl.ca/36939/ |
| Journal Title: | NeuroImage (vol. 150) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.neuroimage.2016.09.026 |
| Official URL: | https://doi.org/10.1016/j.neuroimage.2016.09.026 |
| Date Deposited: | 18 Apr 2023 15:04 |
| Last Modified: | 25 Sep 2024 16:20 |
| Cite in APA 7: | 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. https://doi.org/10.1016/j.neuroimage.2016.09.026 |
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