Article révisé par les pairs
Titre:
  • Deep active learning for Interictal Ictal Injury Continuum EEG patterns
Auteur:Ge, Wendong; Jing, Jin; An, Sungtae; Herlopian, Aline; Ng, Marcus; Struck, Aaron A.F.; Appavu, Brian; Johnson, Emily E.L.; Osman, Gamaleldin; Haider, Hiba Arif; Karakis, Ioannis; Kim, Jennifer Ahjin; Halford, Jonathan J.J.; Dhakar, Monica M.B.; Sarkis, Rani; Swisher, Christa C.B.; Schmitt, S.E.; Lee, Jongwoo J.W.; Tabaeizadeh, Mohammad; Rodriguez, Andres; Gaspard, Nicolas; Gilmore, Emily Jean; Herman, Susan S.T.; Kaplan, Peter P.W.; Pathmanathan, Jay; Hong, Shenda; Rosenthal, Eric E.S.; Zafar, Sahar S.F.; Sun, Jimeng; Westover, Michael Brandon
Informations sur la publication:Journal of neuroscience methods, 351, 108966
Statut de publication:Publié, 2021-03-01
Sujet CREF:Neurosciences cognitives
Mots-clés:Active learning
Convolutional neural network
Electroencephalography(EEG)
Embedding map
Ictal Interictal Injury Continuum
Machine learning
Seizure
Note générale:SCOPUS: ar.j
Langue:Anglais
Identificateurs:urn:issn:0165-0270
info:doi/10.1016/j.jneumeth.2020.108966
info:pii/S0165027020303897
info:scp/85094602767
info:pmid/33099261

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