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Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans

Enamundram Naga Karthik, Julian McGinnis, Reinhard Würm, Sebastian Ruehling, Robert Graf, Jan Valošek, Pierre-Louis Benveniste, Markus Lauerer, Jason F. Talbott, Rohit Bakshi, Shahamat Tauhid, Timothy M. Shepherd, Achim Berthele, Claus Zimmer, Bernhard Hemmer, Daniel Rueckert, Benedikt Wiestler, Jan S. Kirschke, Julien Cohen-Adad and Mark Mühlau

Article (2025)

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Department: Institut de génie biomédical
Department of Electrical Engineering
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
PolyPublie URL: https://publications.polymtl.ca/65924/
Journal Title: Imaging Neuroscience
Publisher: The MIT Press
DOI: 10.1162/imag.a.45
Official URL: https://doi.org/10.1162/imag.a.45
Date Deposited: 02 Jun 2025 17:03
Last Modified: 02 Jun 2025 17:03
Cite in APA 7: Naga Karthik, E., McGinnis, J., Würm, R., Ruehling, S., Graf, R., Valošek, J., Benveniste, P.-L., Lauerer, M., Talbott, J. F., Bakshi, R., Tauhid, S., Shepherd, T. M., Berthele, A., Zimmer, C., Hemmer, B., Rueckert, D., Wiestler, B., Kirschke, J. S., Cohen-Adad, J., & Mühlau, M. (2025). Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans. Imaging Neuroscience, -. https://doi.org/10.1162/imag.a.45

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