Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates
- DOI
- 10.3389/fnins.2026.1878685
- Published
- 2026-07-24
- Container
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fnins.2026.1878685,
title = {Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates},
author = {Patrycja Romaniszyn-Kania and Weronika Galus and Julia Wyszomirska and Katarzyna Zawiślak-Fornagiel and Oskar Bożek and Daniel Ledwoń and Damian Kania and Aleksandra Tuszy and Joanna Siuda and Andrzej W. Mitas},
year = {2026},
journal = {Frontiers in Neuroscience},
doi = {10.3389/fnins.2026.1878685},
url = {https://doi.org/10.3389/fnins.2026.1878685}
}RIS
TY - JOUR TI - Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates AU - Patrycja Romaniszyn-Kania AU - Weronika Galus AU - Julia Wyszomirska AU - Katarzyna Zawiślak-Fornagiel AU - Oskar Bożek AU - Daniel Ledwoń AU - Damian Kania AU - Aleksandra Tuszy AU - Joanna Siuda AU - Andrzej W. Mitas PY - 2026 JO - Frontiers in Neuroscience DO - 10.3389/fnins.2026.1878685 UR - https://doi.org/10.3389/fnins.2026.1878685 ER -
APA
Romaniszyn-Kania, P., Galus, W., Wyszomirska, J., Zawiślak-Fornagiel, K., Bożek, O., Ledwoń, D., Kania, D., Tuszy, A., Siuda, J., & Mitas, A. W. (2026). Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2026.1878685
Source records
- crossref · retrieved 2026-09-26T15:43:02.707Z