Publication:

Interpretable epilepsy detection in routine, interictal EEG data using deep learning

Date

2020-12
Proceedings Paper
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dc.contributor.authorUyttenhove, Thomas
dc.contributor.authorMaes, Aren
dc.contributor.authorVan Steenkiste, Tom
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorDhaene, Tom
dc.contributor.imecauthorMaes, Aren
dc.contributor.imecauthorVan Steenkiste, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.accessioned2021-10-29T05:44:04Z
dc.date.available2021-10-29T05:44:04Z
dc.date.embargo9999-12-31
dc.date.issued2020-12
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/36105
dc.source.beginpage355
dc.source.conferenceMachine Learning for Health NeurIPS Workshop
dc.source.conferencedate11/12/2020
dc.source.conferencelocationonline online
dc.source.endpage366
dc.title

Interpretable epilepsy detection in routine, interictal EEG data using deep learning

dc.typeProceedings paper
dspace.entity.typePublication
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