84 citations · 125 across the 4 of their papers we have counts for
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eess.SP2025
Neuro-MoBRE: Exploring Multi-subject Multi-task Intracranial Decoding via Explicit Heterogeneity Resolving
Di Wu, Yifei Jia, Siyuan Li +3
Neurophysiological decoding, fundamental to advancing brain-computer interface (BCI) technologies, has significantly benefited from recent advances in deep learning. However, exist…
eess.SP2022★ 39 cited
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction
Shiqi Zhao, Jie Yang, Yankun Xu +1
Nowadays, several deep learning methods are proposed to tackle the challenge of epileptic seizure prediction. However, these methods still cannot be implemented as part of implanta…
eess.SP2021★ 84 cited
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
Yankun Xu, Jie Yang, Shiqi Zhao +2
An accurate seizure prediction system enables early warnings before seizure onset of epileptic patients. It is extremely important for drug-refractory patients. Conventional seizur…