Deep learning to predict progression independent of relapse activity at a first demyelinating event

Llucia Coll, Deborah Pareto, Francisco Aparicio-Serrano, Susana Otero-Romero, Alvaro Cobo-Calvo, Evy Reinders, Manel Alberich, María Jesús Arévalo, Georgina Arrambide, Cristina Auger, Joaquín Castilló, Manuel Comabella, Ingrid Galán, Luciana Midaglia, Carlos Nos, Frederik Novak, Arnau Oliver, Jordi Río, Breogán Rodríguez-Acevedo, Jaume Sastre-Garriga, Ángela Vidal-Jordana, Ana Zabalza, Xavier Montalban, Àlex Rovira, Mar Tintoré, Xavier Lladó, Carmen Tur

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DOI: 10.1093/braincomms/fcaf243
Published: 2025
Container: Brain Communications
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/braincomms/fcaf243,
  title = {Deep learning to predict progression independent of relapse activity at a first demyelinating event},
  author = {Llucia Coll and Deborah Pareto and Francisco Aparicio-Serrano and Susana Otero-Romero and Alvaro Cobo-Calvo and Evy Reinders and Manel Alberich and María Jesús Arévalo and Georgina Arrambide and Cristina Auger and Joaquín Castilló and Manuel Comabella and Ingrid Galán and Luciana Midaglia and Carlos Nos and Frederik Novak and Arnau Oliver and Jordi Río and Breogán Rodríguez-Acevedo and Jaume Sastre-Garriga and Ángela Vidal-Jordana and Ana Zabalza and Xavier Montalban and Àlex Rovira and Mar Tintoré and Xavier Lladó and Carmen Tur},
  year = {2025},
  journal = {Brain Communications},
  doi = {10.1093/braincomms/fcaf243},
  url = {https://doi.org/10.1093/braincomms/fcaf243}
}

RIS

TY  - JOUR
TI  - Deep learning to predict progression independent of relapse activity at a first demyelinating event
AU  - Llucia Coll
AU  - Deborah Pareto
AU  - Francisco Aparicio-Serrano
AU  - Susana Otero-Romero
AU  - Alvaro Cobo-Calvo
AU  - Evy Reinders
AU  - Manel Alberich
AU  - María Jesús Arévalo
AU  - Georgina Arrambide
AU  - Cristina Auger
AU  - Joaquín Castilló
AU  - Manuel Comabella
AU  - Ingrid Galán
AU  - Luciana Midaglia
AU  - Carlos Nos
AU  - Frederik Novak
AU  - Arnau Oliver
AU  - Jordi Río
AU  - Breogán Rodríguez-Acevedo
AU  - Jaume Sastre-Garriga
AU  - Ángela Vidal-Jordana
AU  - Ana Zabalza
AU  - Xavier Montalban
AU  - Àlex Rovira
AU  - Mar Tintoré
AU  - Xavier Lladó
AU  - Carmen Tur
PY  - 2025
JO  - Brain Communications
DO  - 10.1093/braincomms/fcaf243
UR  - https://doi.org/10.1093/braincomms/fcaf243
ER  -

APA

Coll, L., Pareto, D., Aparicio-Serrano, F., Otero-Romero, S., Cobo-Calvo, A., Reinders, E., Alberich, M., Arévalo, M. J., Arrambide, G., Auger, C., Castilló, J., Comabella, M., Galán, I., Midaglia, L., Nos, C., Novak, F., Oliver, A., Río, J., Rodríguez-Acevedo, B., Sastre-Garriga, J., Vidal-Jordana, Á., Zabalza, A., Montalban, X., Rovira, À., Tintoré, M., Lladó, X., & Tur, C. (2025). Deep learning to predict progression independent of relapse activity at a first demyelinating event. Brain Communications. https://doi.org/10.1093/braincomms/fcaf243

Source records

crossref · retrieved 2026-11-06T00:32:52.849Z