Expert level of detection of interictal discharges with a deep neural network.
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| Title: | Expert level of detection of interictal discharges with a deep neural network. |
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| Authors: | Tjepkema-Cloostermans MC; Department of Clinical Neurophysiology, Medisch Spectrum Twente, Enschede, The Netherlands.; Department of Clinical Neurophysiology, University of Twente, Enschede, The Netherlands., Tannemaat MR; Department of Clinical Neurophysiology, Leiden University Medical Center, Leiden, The Netherlands., Wieske L; Department of Clinical Neurophysiology, Sint Antonius Hospital, Nieuwegein, The Netherlands., van Rootselaar AF; Department of Clinical Neurophysiology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands., Stunnenberg BC; Department of Neurology and Clinical Neurophysiology, Rijnstate Hospital, Arnhem, The Netherlands., Keijzer HM; Department of Neurology and Clinical Neurophysiology, Rijnstate Hospital, Arnhem, The Netherlands., Koelman JHTM; Department of Clinical Neurophysiology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands., Tromp SC; Department of Clinical Neurophysiology, Leiden University Medical Center, Leiden, The Netherlands., Dunca I; Department of Neurology Centrul Medical Emerald, Bucharest, Romania., van der Star BJ; Department of Clinical Neurophysiology, Medisch Spectrum Twente, Enschede, The Netherlands., de Koning ME; Department of Clinical Neurophysiology, Medisch Spectrum Twente, Enschede, The Netherlands., van Putten MJAM; Department of Clinical Neurophysiology, Medisch Spectrum Twente, Enschede, The Netherlands.; Department of Clinical Neurophysiology, University of Twente, Enschede, The Netherlands. |
| Source: | Epilepsia [Epilepsia] 2025 Jan; Vol. 66 (1), pp. 184-194. Date of Electronic Publication: 2024 Nov 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1528-1167 |
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| DOI: | 10.1111/epi.18164 |
