- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Machine learning in neuroimaging of epilepsy: a narrative review ; volume:11 ; number:1 ; day:4 ; month:11 ; year:2024 ; pages:1-9 ; date:12.2024
Journal of medical imaging and interventional radiology ; 11, Heft 1 (4.11.2024), 1-9, 12.2024
- Urheber
-
Perillo, Teresa
Perillo, Sandra
Pinto, Antonio
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44326-024-00041-y
- URN
-
urn:nbn:de:101:1-2501222108356.665068169041
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Perillo, Teresa
- Perillo, Sandra
- Pinto, Antonio
- SpringerLink (Online service)
Ähnliche Objekte (12)
How machine learning is shaping cognitive neuroimaging
Neuroimaging in the Evaluation of Epilepsy
Clinical importance of neuroimaging in epilepsy
Machine learning in neuroimaging: from research to clinical practice
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
How Machine Learning is Powering Neuroimaging to Improve Brain Health
Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Value of neuroimaging in epilepsy: An experience from Pakistan
Building confound-free and generalizable machine learning workflows with neuroimaging data
Epilepsy in patients carrying COL4A1/COL4A2 mutations with focus on neuroimaging, epilepsy surgery and histology
Evaluation of machine learning methods for seizure prediction in epilepsy
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
How machine learning is shaping cognitive neuroimaging
Neuroimaging in the Evaluation of Epilepsy
Clinical importance of neuroimaging in epilepsy
Machine learning in neuroimaging: from research to clinical practice
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
How Machine Learning is Powering Neuroimaging to Improve Brain Health
Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Value of neuroimaging in epilepsy: An experience from Pakistan
Building confound-free and generalizable machine learning workflows with neuroimaging data
Epilepsy in patients carrying COL4A1/COL4A2 mutations with focus on neuroimaging, epilepsy surgery and histology
Evaluation of machine learning methods for seizure prediction in epilepsy
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
How machine learning is shaping cognitive neuroimaging
Neuroimaging in the Evaluation of Epilepsy
Clinical importance of neuroimaging in epilepsy
Machine learning in neuroimaging: from research to clinical practice
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
How Machine Learning is Powering Neuroimaging to Improve Brain Health
Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Value of neuroimaging in epilepsy: An experience from Pakistan
Building confound-free and generalizable machine learning workflows with neuroimaging data
Epilepsy in patients carrying COL4A1/COL4A2 mutations with focus on neuroimaging, epilepsy surgery and histology
Evaluation of machine learning methods for seizure prediction in epilepsy