Pediatric seizure prediction in scalp EEG using a multi-scale neural network with dilated convolutions Y Gao, X Chen, A Liu, D Liang, L Wu, R Qian, H Xie, Y Zhang IEEE journal of translational engineering in health and medicine 10, 1-9, 2022 | 66 | 2022 |
Semi-supervised domain-adaptive seizure prediction via feature alignment and consistency regularization D Liang, A Liu, Y Gao, C Li, R Qian, X Chen IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023 | 26 | 2023 |
A self-interpretable deep learning model for seizure prediction using a multi-scale prototypical part network Y Gao, A Liu, L Wang, R Qian, X Chen IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1847-1856, 2023 | 15 | 2023 |
A general sample-weighted framework for epileptic seizure prediction Y Gao, A Liu, X Cui, R Qian, X Chen Computers in Biology and Medicine 150, 106169, 2022 | 10 | 2022 |
Distilling invariant representations with domain adversarial learning for cross-subject children seizure prediction Z Zhang, A Liu, Y Gao, X Cui, R Qian, X Chen IEEE Transactions on Cognitive and Developmental Systems 16 (1), 202-211, 2023 | 7 | 2023 |
A dynamic window method based on reinforcement learning for SSVEP recognition W Zhou, L Wu, Y Gao, X Chen IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024 | 2 | 2024 |
Cross-patient seizure prediction via continuous domain adaptation and similar sample replay Z Zhang, A Liu, Y Gao, R Qian, X Chen Cognitive Neurodynamics 19 (1), 26, 2025 | | 2025 |
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning Y Gao, A Liu, H Cui, R Qian, X Chen Computers in Biology and Medicine 183, 109257, 2024 | | 2024 |