Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology
Adopting this framework will improve the comparability and multicenter testing of machine learning models in epileptogenic zone localization, enhancing their reliability and ultimately leading to better surgical outcomes for epilepsy patients.
Authors
- Jean Gotman
- Martin Pail (ORCID: https://orcid.org/0000-0003-2059-4822)
- Vojtěch Trávníček (ORCID: https://orcid.org/0000-0002-5846-6722)
- Jan Cimbálník (ORCID: https://orcid.org/0000-0001-6670-6717)
- Christophe Grova (ORCID: https://orcid.org/0000-0003-2775-9968)
- Birgit Frauscher (ORCID: https://orcid.org/0000-0001-6064-1529)
- Laure Peter‐Derex (ORCID: https://orcid.org/0000-0002-9938-9639)
- Josef Halámek (ORCID: https://orcid.org/0000-0001-8986-796X)
- Petr Klimeš (ORCID: https://orcid.org/0000-0002-0232-9518)
- Pavel Jurák (ORCID: https://orcid.org/0000-0002-3793-5075)
- Milan Brázdil (ORCID: https://orcid.org/0000-0001-7979-2343)
- Valentina Hrtonová
- Petr Nejedlý (ORCID: https://orcid.org/0000-0002-5382-2134)
- Barbora Matoušková
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Montreal Neurological Institute and Hospital (CA)
- Central European Institute of Technology (CZ)
- Concordia University (US)
- Masaryk University (CZ)
- Centre de Recherche en Neurosciences de Lyon (FR)
- Hospices Civils de Lyon (FR)
- University Hospital Brno (CZ)
- Czech Academy of Sciences, Institute of Scientific Instruments (CZ)
- St. Anne's University Hospital Brno (CZ)
- Concordia University (US)
- Concordia University (CA)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1016/j.clinph.2024.11.007
- Citations
- 8
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.74