BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

254 related articles for article (PubMed ID: 37662099)

  • 1. Local and global convolutional transformer-based motor imagery EEG classification.
    Zhang J; Li K; Yang B; Han X
    Front Neurosci; 2023; 17():1219988. PubMed ID: 37662099
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attention-based convolutional neural network with multi-modal temporal information fusion for motor imagery EEG decoding.
    Ma X; Chen W; Pei Z; Zhang Y; Chen J
    Comput Biol Med; 2024 Jun; 175():108504. PubMed ID: 38701593
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification.
    Li L; Sun N
    Comput Intell Neurosci; 2022; 2022():8187009. PubMed ID: 35571721
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism.
    Shi X; Li B; Wang W; Qin Y; Wang H; Wang X
    Neuroscience; 2023 Sep; 527():64-73. PubMed ID: 37517788
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities.
    Ahn HJ; Lee DH; Jeong JH; Lee SW
    IEEE Trans Neural Syst Rehabil Eng; 2022 Dec; PP():. PubMed ID: 37015688
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding.
    Liu T; Yang D
    Brain Sci; 2021 Feb; 11(2):. PubMed ID: 33562623
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bidirectional feature pyramid attention-based temporal convolutional network model for motor imagery electroencephalogram classification.
    Xie X; Chen L; Qin S; Zha F; Fan X
    Front Neurorobot; 2024; 18():1343249. PubMed ID: 38352723
    [TBL] [Abstract][Full Text] [Related]  

  • 8. ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain-Computer Interface.
    Tao W; Wang Z; Wong CM; Jia Z; Li C; Chen X; Chen CLP; Wan F
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():154-165. PubMed ID: 38090841
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new attention-based 3D densely connected cross-stage-partial network for motor imagery classification in BCI.
    Wen Y; He W; Zhang Y
    J Neural Eng; 2022 Sep; 19(5):. PubMed ID: 36130589
    [No Abstract]   [Full Text] [Related]  

  • 10. Transformer-Based Network with Optimization for Cross-Subject Motor Imagery Identification.
    Tan X; Wang D; Chen J; Xu M
    Bioengineering (Basel); 2023 May; 10(5):. PubMed ID: 37237679
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two-branch 3D convolutional neural network for motor imagery EEG decoding.
    Yang L; Song Y; Jia X; Ma K; Xie L
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34311452
    [No Abstract]   [Full Text] [Related]  

  • 12. A shallow mirror transformer for subject-independent motor imagery BCI.
    Luo J; Wang Y; Xia S; Lu N; Ren X; Shi Z; Hei X
    Comput Biol Med; 2023 Sep; 164():107254. PubMed ID: 37499295
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding.
    Yang J; Gao S; Shen T
    Entropy (Basel); 2022 Mar; 24(3):. PubMed ID: 35327887
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals.
    Khademi Z; Ebrahimi F; Kordy HM
    Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Motor Imagery EEG Decoding Based on Multi-scale Hybrid Networks and Feature Enhancement.
    Tang X; Yang C; Sun X; Zou M; Wang H
    IEEE Trans Neural Syst Rehabil Eng; 2023 Feb; PP():. PubMed ID: 37022411
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Subject adaptation convolutional neural network for EEG-based motor imagery classification.
    Liu S; Zhang J; Wang A; Wu H; Zhao Q; Long J
    J Neural Eng; 2022 Nov; 19(6):. PubMed ID: 36270467
    [No Abstract]   [Full Text] [Related]  

  • 17. ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data.
    Ali O; Saif-Ur-Rehman M; Glasmachers T; Iossifidis I; Klaes C
    Comput Biol Med; 2024 Jan; 168():107649. PubMed ID: 37980798
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.
    Lee PL; Chen SH; Chang TC; Lee WK; Hsu HT; Chang HH
    Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829681
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding.
    Liang G; Cao D; Wang J; Zhang Z; Wu Y
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1535-1545. PubMed ID: 38536681
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding.
    Gao S; Yang J; Shen T; Jiang W
    Brain Sci; 2022 Sep; 12(9):. PubMed ID: 36138969
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.