Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation.
- DOI
- 10.3390/brainsci11050615
- Published
- 2021 May 11
- Container
- Brain sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/brainsci11050615,
title = {Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation.},
author = {Wang Y and Dai Y and Liu Z and Guo J and Cao G and Ouyang M and Liu D and Shan Y and Kang G and Zhao G},
year = {2021},
journal = {Brain sciences},
doi = {10.3390/brainsci11050615},
url = {https://doi.org/10.3390/brainsci11050615}
}RIS
TY - JOUR TI - Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation. AU - Wang Y AU - Dai Y AU - Liu Z AU - Guo J AU - Cao G AU - Ouyang M AU - Liu D AU - Shan Y AU - Kang G AU - Zhao G PY - 2021 JO - Brain sciences DO - 10.3390/brainsci11050615 UR - https://doi.org/10.3390/brainsci11050615 ER -
APA
Y, W., Y, D., Z, L., J, G., G, C., M, O., D, L., Y, S., G, K., & G, Z. (2021). Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation.. Brain sciences. https://doi.org/10.3390/brainsci11050615
Source records
- pubmed · retrieved 2026-09-26T06:08:10.699Z