Advances in Artificial Intelligence for the Identification of Epileptiform Discharges
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-79161-2_1
Reference102 articles.
1. Epilepsy. https://www.who.int/news-room/fact-sheets/detail/epilepsy
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3. Liang, W., Pei, H., Cai, Q., Wang, Y.: Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network. Neurocomputing 396, 569–576 (2020). https://doi.org/10.1016/j.neucom.2018.10.108
4. Parvizi, J., Kastner, S.: Human intracranial EEG: promises and limitations. Nat. Neurosci. 21(4), 474–483 (2018). https://doi.org/10.1038/s41593-018-0108-2
5. Frusque, G., Borgnat, P., Gonçalves, P., Jung, J.: Semi-automatic extraction of functional dynamic networks describing patient’s epileptic seizures. Front. Neurol. 11, (2020). https://doi.org/10.3389/fneur.2020.579725
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