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Nilser Laines Medina

Doctorat - Polytechnique
Superviseur⋅e principal⋅e
Julien Cohen-Adad
Sujets de recherche
Apprentissage profond

Publications

Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images
Nilser Laines Medina
Samira Mchinda
Benoit Testud
Sarah Demortière
Emanuele Pravatà
Govind Nair
Daniel S. Reich
Cristina Granziera
Charidimos Tsagkas
Virginie Callot
Julien Cohen-Adad
2026-04-30
Multiple Sclerosis and Related Disorders (publié)
doi.org
Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers
Pierre‐Louis Benveniste
Laurent Létourneau‐Guillon
David Araújo
Lydia Chougar
Dumitru Fetco
Masaaki Hori
Kouhei Kamiya
Steven Messina
Charidimos Tsagkas
Bertrand Audoin
Rohit Bakshi
Élise Bannier
Daniel Blezek
Jean‐Christophe Brisset
Virginie Callot
Erik Charlson
Michelle Chen
Olga Ciccarelli
Sarah Demortière
Gilles Edan … (voir 36 de plus)
M Filippi
Tobias Granberg
Cristina Granziera
Christopher C. Hemond
B. Mark Keegan
Anne Kerbrat
J Kirschke
Petr Kudlička
Pierre Labauge
Lisa Eunyoung Lee
Yaou Liu
Caterina Mainero
Julian McGinnis
Nilser Laines Medina
Mark Mühlau
Govind Nair
Kristin P. O’Grady
Jiwon Oh
Russell Ouellette
Alexandre Prat
Daniel S. Reich
Maria A. Rocca
Timothy M. Shepherd
Seth A. Smith
Leszek Stawiarz
Jason Talbott
Roger Tam
Shahamat Tauhid
Anthony Traboulsee
Constantina A. Treaba
Paola Valsasina
Zachary Vavasour
Marios Yiannakas
Hervé Lombaert
Julien Cohen-Adad
Shannon Kolind
The proposed model can achieve accurate and reliable spinal cord MS lesion segmentation across heterogeneous MRI data, addressing a key barr… (voir plus)ier to clinical translation. The model is available in the Spinal Cord Toolbox v7.2 and higher.Code repository: https://github.com/ivadomed/seg-sc-ms-lesion-multicontrast.
2026-04-23
Multiple Sclerosis Journal (publié)
doi.org