Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500325
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- Article
Works matching IS 01290657 AND DT 2021 AND VI 31 AND IP 8
Results: 7
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Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S012906572150026X
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- Article
3
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500222
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- Publication type:
- Article
4
Incorporating Uncertainty in Data Labeling into Automatic Detection of Interictal Epileptiform Discharges from Concurrent Scalp-EEG via Multi-way Analysis.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500192
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- Article
5
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500180
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- Article
6
Deep Learning for EEG Seizure Detection in Preterm Infants.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500088
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- Article
7
Introduction.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721030076
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- Publication type:
- Article