These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
135 related articles for article (PubMed ID: 38328554)
1. A general dual-pathway network for EEG denoising. Xiong W; Ma L; Li H Front Neurosci; 2023; 17():1258024. PubMed ID: 38328554 [TBL] [Abstract][Full Text] [Related]
2. Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN Autoencoder. Nagar S; Kumar A IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2474-2485. PubMed ID: 36001513 [TBL] [Abstract][Full Text] [Related]
3. EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. Pu X; Yi P; Chen K; Ma Z; Zhao D; Ren Y Comput Biol Med; 2022 Dec; 151(Pt A):106248. PubMed ID: 36343405 [TBL] [Abstract][Full Text] [Related]
4. A GAN Guided Parallel CNN and Transformer Network for EEG Denoising. Yin J; Liu A; Li C; Qian R; Chen X IEEE J Biomed Health Inform; 2023 May; PP():. PubMed ID: 37220036 [TBL] [Abstract][Full Text] [Related]
5. EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising. Zhang H; Zhao M; Wei C; Mantini D; Li Z; Liu Q J Neural Eng; 2021 Oct; 18(5):. PubMed ID: 34596046 [No Abstract] [Full Text] [Related]
6. An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network. Dong Y; Tang X; Li Q; Wang Y; Jiang N; Tian L; Zheng Y; Li X; Zhao S; Li G; Fang P IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3524-3534. PubMed ID: 37643110 [TBL] [Abstract][Full Text] [Related]
7. Integrating spatial and temporal features for enhanced artifact removal in multi-channel EEG recordings. Yin J; Liu A; Wang L; Qian R; Chen X J Neural Eng; 2024 Sep; 21(5):. PubMed ID: 39250956 [No Abstract] [Full Text] [Related]
8. DTP-Net: Learning to Reconstruct EEG Signals in Time-Frequency Domain by Multi-Scale Feature Reuse. Pei Y; Xu J; Chen Q; Wang C; Yu F; Zhang L; Luo W IEEE J Biomed Health Inform; 2024 May; 28(5):2662-2673. PubMed ID: 38277252 [TBL] [Abstract][Full Text] [Related]
9. Denoising EEG Signals for Real-World BCI Applications Using GANs. Brophy E; Redmond P; Fleury A; De Vos M; Boylan G; Ward T Front Neuroergon; 2021; 2():805573. PubMed ID: 38235245 [TBL] [Abstract][Full Text] [Related]
10. EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network. Wang B; Deng F; Jiang P Comput Biol Med; 2024 Jul; 177():108626. PubMed ID: 38810475 [TBL] [Abstract][Full Text] [Related]
11. A Novel End-to-end Network Based on a bidirectional GRU and a Self-Attention Mechanism for Denoising of Electroencephalography Signals. Wang W; Li B; Wang H Neuroscience; 2022 Nov; 505():10-20. PubMed ID: 36240942 [TBL] [Abstract][Full Text] [Related]
12. Uncertainty-Aware Denoising Network for Artifact Removal in EEG Signals. Jin X; Wang J; Liu L; Lin Y IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4470-4480. PubMed ID: 37938960 [TBL] [Abstract][Full Text] [Related]