Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion
#2PRI RANKED
Most Cited Paper
in Epilepsy research and treatment
18 Months Post-Publication
Class of 2026
“Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion”
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pri.pepkio.com
Topics
Seizure prediction · EEG signal · multidimensional Transformer · LSTM-GRU fusion · Short-time Fourier Transform (STFT) · Time-frequency features · gating mechanism · Bonn EEG dataset · CHB-MIT scalp EEG database · recurrent neural network · Seizure classification · sensitivity and specificity metrics · temporal and frequency characteristics
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026. Accessed 2026-08-20. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459