Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images

Nilser Jherald Laines Medina, Samira Mchinda, Benoît Testud, Sarah Demortière, Emanuele Pravatà, Govind Nair, Daniel S. Reich, Cristina Granziera, Charidimos Tsagkas, Virginie Callot, Julien Cohen-Adad

Article (2026)

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Uncontrolled Keywords

Department:
Institut de génie biomédical
Department of Electrical Engineering
Research Center:
NeuroPoly - Laboratoire de Recherche en Neuroimagerie
Funders:
Fonds de Recherche du Québec - Santé, Agence Nationale de la Recherche, Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Foundation for Innovation
PolyPublie URL:
https://publications.polymtl.ca/77312/
Journal Title :
Multiple Sclerosis and Related Disorders ( vol. 111 )
Publisher:
Elsevier BV
DOI:
10.1016/j.msard.2026.107250
Official URL:
https://doi.org/10.1016/j.msard.2026.107250
OAI:
oai:publications.polymtl.ca:77312
ORCID
Date Deposited:
09 Jun 2026 14:48
Last Modified:
08 Oct 2026 19:09
Cite in APA 7:
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. https://doi.org/10.1016/j.msard.2026.107250

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