Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis
These findings highlight the potential of ML-driven radiomics in predicting disability worsening, warranting validation in larger, balanced datasets and exploration of advanced deep learning approaches.
Authors
- Henry C. Woodruff (ORCID: https://orcid.org/0000-0001-7911-5123)
- Edward De Brouwer (ORCID: https://orcid.org/0000-0003-0608-0155)
- Veronica Popescu (ORCID: https://orcid.org/0000-0002-7156-5442)
- Lorin Werthen‐Brabants (ORCID: https://orcid.org/0000-0001-9976-1886)
- Sina Amirrajab (ORCID: https://orcid.org/0000-0001-8226-7777)
- Jan Sijbers (ORCID: https://orcid.org/0000-0003-4225-2487)
- Liesbet M. Peeters (ORCID: https://orcid.org/0000-0002-6066-3899)
- Shruti Atul Mali (ORCID: https://orcid.org/0000-0002-8307-8051)
- Hamza Khan (ORCID: https://orcid.org/0000-0001-7024-974X)
- Bart Van Wijmeersch (ORCID: https://orcid.org/0000-0003-0528-1545)
- Diana L. Giraldo (ORCID: https://orcid.org/0000-0001-9778-1031)
- Oliver Gerlach
Institutions
- University of Antwerp (BE)
- Maastricht University Medical Centre (NL)
- Ghent University (BE)
- Maastricht University (NL)
- iMinds (BE)
- Zuyderland Medisch Centrum (NL)
- Maastro Clinic (NL)
- National MS Center Melsbroek
- Hasselt University (BE)
- KU Leuven (BE)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-10-29
- DOI
- https://doi.org/10.3389/fnins.2025.1610401
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universiteit Maastricht