Localizing the epileptogenic zone using deep learning and neuroimaging: A systematic review
This review highlights methodological limitations hindering the clinical translation of current DL approaches for EZ localization and provides a comprehensive set of recommendations to address them. Future work should prioritize developing standardized, clinically informative evaluation frameworks and explore research avenues aligned with modern DL practices, spanning from uncertainty quantification to large-scale vision foundation models and synthetic data generation.
Authors
- Ralph Brecheisen
- Leroy Volmer (ORCID: https://orcid.org/0009-0001-4978-4024)
- Olaf EMG Schijns
- Petros Koutsouvelis (ORCID: https://orcid.org/0009-0002-3020-0030)
- Sven J.E. Ermans
- D. B. P. Eekers
- Christianne M. Hoeberigs
- Andre Dekker
Institutions
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- Kempenhaeghe (NL)
- Maastro Clinic (NL)
- University of Twente (NL)
Publication Details
- Journal
- Seizure
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1016/j.seizure.2026.03.002
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Technische Universiteit Delft
- Universiteit Maastricht
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Maastricht Universitair Medisch Centrum
- Care and Public Health Research Institute, Universiteit Maastricht