Brain age in multiple sclerosis: a study with deep learning and traditional machine learning

Lars Skattebøl, Gro O Nygaard, Esten H Leonardsen, Tobias Kaufmann, Thomas Moridi, Leszek Stawiarz, Russel Ouellette, Benjamin V Ineichen, Daniel Ferreira, J Sebastian Muehlboeck, Mona K Beyer, Piotr Sowa, Ali Manouchehrinia, Eric Westman, Tomas Olsson, Elisabeth G Celius, Jan Hillert, Ingrid Kockum, Hanne F Harbo, Fredrik Piehl, Tobias Granberg, Lars T Westlye, Einar A Høgestøl

Open source

DOI: 10.1093/braincomms/fcaf152
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/fcaf152,
  title = {Brain age in multiple sclerosis: a study with deep learning and traditional machine learning},
  author = {Lars Skattebøl and Gro O Nygaard and Esten H Leonardsen and Tobias Kaufmann and Thomas Moridi and Leszek Stawiarz and Russel Ouellette and Benjamin V Ineichen and Daniel Ferreira and J Sebastian Muehlboeck and Mona K Beyer and Piotr Sowa and Ali Manouchehrinia and Eric Westman and Tomas Olsson and Elisabeth G Celius and Jan Hillert and Ingrid Kockum and Hanne F Harbo and Fredrik Piehl and Tobias Granberg and Lars T Westlye and Einar A Høgestøl},
  year = {2025},
  journal = {Brain Communications},
  doi = {10.1093/braincomms/fcaf152},
  url = {https://doi.org/10.1093/braincomms/fcaf152}
}

RIS

TY  - JOUR
TI  - Brain age in multiple sclerosis: a study with deep learning and traditional machine learning
AU  - Lars Skattebøl
AU  - Gro O Nygaard
AU  - Esten H Leonardsen
AU  - Tobias Kaufmann
AU  - Thomas Moridi
AU  - Leszek Stawiarz
AU  - Russel Ouellette
AU  - Benjamin V Ineichen
AU  - Daniel Ferreira
AU  - J Sebastian Muehlboeck
AU  - Mona K Beyer
AU  - Piotr Sowa
AU  - Ali Manouchehrinia
AU  - Eric Westman
AU  - Tomas Olsson
AU  - Elisabeth G Celius
AU  - Jan Hillert
AU  - Ingrid Kockum
AU  - Hanne F Harbo
AU  - Fredrik Piehl
AU  - Tobias Granberg
AU  - Lars T Westlye
AU  - Einar A Høgestøl
PY  - 2025
JO  - Brain Communications
DO  - 10.1093/braincomms/fcaf152
UR  - https://doi.org/10.1093/braincomms/fcaf152
ER  -

APA

Skattebøl, L., Nygaard, G. O., Leonardsen, E. H., Kaufmann, T., Moridi, T., Stawiarz, L., Ouellette, R., Ineichen, B. V., Ferreira, D., Muehlboeck, J. S., Beyer, M. K., Sowa, P., Manouchehrinia, A., Westman, E., Olsson, T., Celius, E. G., Hillert, J., Kockum, I., Harbo, H. F., Piehl, F., Granberg, T., Westlye, L. T., & Høgestøl, E. A. (2025). Brain age in multiple sclerosis: a study with deep learning and traditional machine learning. Brain Communications. https://doi.org/10.1093/braincomms/fcaf152

Source records

crossref · retrieved 2026-09-25T21:54:00.687Z