Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts
- DOI
- 10.1111/epi.17206
- Published
- 2022-03-07
- Container
- Epilepsia
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1111/epi.17206,
title = {Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts},
author = {Mustafa Aykut Kural and Jin Jing and Franz Fürbass and Hannes Perko and Erisela Qerama and Birger Johnsen and Steffen Fuchs and M. Brandon Westover and Sándor Beniczky},
year = {2022},
journal = {Epilepsia},
doi = {10.1111/epi.17206},
url = {https://doi.org/10.1111/epi.17206}
}RIS
TY - JOUR TI - Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts AU - Mustafa Aykut Kural AU - Jin Jing AU - Franz Fürbass AU - Hannes Perko AU - Erisela Qerama AU - Birger Johnsen AU - Steffen Fuchs AU - M. Brandon Westover AU - Sándor Beniczky PY - 2022 JO - Epilepsia DO - 10.1111/epi.17206 UR - https://doi.org/10.1111/epi.17206 ER -
APA
Kural, M. A., Jing, J., Fürbass, F., Perko, H., Qerama, E., Johnsen, B., Fuchs, S., Westover, M. B., & Beniczky, S. (2022). Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts. Epilepsia. https://doi.org/10.1111/epi.17206
Source records
- crossref · retrieved 2026-09-27T08:29:57.759Z