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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38757187)

  • 1. Self-supervised motor imagery EEG recognition model based on 1-D MTCNN-LSTM network.
    Cunlin H; Ye Y; Nenggang X
    J Neural Eng; 2024 May; 21(3):. PubMed ID: 38757187
    [No 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. EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification.
    Zhang C; Kim YK; Eskandarian A
    J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33691299
    [No Abstract]   [Full Text] [Related]  

  • 5. Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.
    Li W; Li H; Sun X; Kang H; An S; Wang G; Gao Z
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565100
    [No Abstract]   [Full Text] [Related]  

  • 6. Wasserstein generative adversarial network with gradient penalty and convolutional neural network based motor imagery EEG classification.
    Xiong H; Li J; Liu J; Song J; Han Y
    J Neural Eng; 2024 Aug; 21(4):. PubMed ID: 39116892
    [No Abstract]   [Full Text] [Related]  

  • 7. Deep temporal networks for EEG-based motor imagery recognition.
    Sharma N; Upadhyay A; Sharma M; Singhal A
    Sci Rep; 2023 Nov; 13(1):18813. PubMed ID: 37914729
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network.
    Miao M; Hu W; Yin H; Zhang K
    Comput Math Methods Med; 2020; 2020():1981728. PubMed ID: 32765639
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Imagined character recognition through EEG signals using deep convolutional neural network.
    Ullah S; Halim Z
    Med Biol Eng Comput; 2021 May; 59(5):1167-1183. PubMed ID: 33945075
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification.
    Zhang R; Liu G; Wen Y; Zhou W
    J Neurosci Methods; 2023 Oct; 398():109953. PubMed ID: 37611877
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CTNet: a convolutional transformer network for EEG-based motor imagery classification.
    Zhao W; Jiang X; Zhang B; Xiao S; Weng S
    Sci Rep; 2024 Aug; 14(1):20237. PubMed ID: 39215126
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improving the performance of multisubject motor imagery-based BCIs using twin cascaded softmax CNNs.
    Luo J; Shi W; Lu N; Wang J; Chen H; Wang Y; Lu X; Wang X; Hei X
    J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 33540387
    [No Abstract]   [Full Text] [Related]  

  • 14. An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task.
    Lashgari E; Ott J; Connelly A; Baldi P; Maoz U
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34352734
    [No Abstract]   [Full Text] [Related]  

  • 15. EEG-FMCNN: A fusion multi-branch 1D convolutional neural network for EEG-based motor imagery classification.
    Wang W; Li B; Wang H; Wang X; Qin Y; Shi X; Liu S
    Med Biol Eng Comput; 2024 Jan; 62(1):107-120. PubMed ID: 37728715
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN.
    Li MA; Han JF; Yang JF
    Med Biol Eng Comput; 2021 Oct; 59(10):2037-2050. PubMed ID: 34424453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approach.
    Habashi AG; Azab AM; Eldawlatly S; Aly GM
    J Neural Eng; 2024 Jul; 21(4):. PubMed ID: 39029497
    [No Abstract]   [Full Text] [Related]  

  • 18. Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification.
    Zhang D; Li H; Xie J
    Neural Netw; 2024 Nov; 179():106497. PubMed ID: 38986186
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel deep learning approach for classification of EEG motor imagery signals.
    Tabar YR; Halici U
    J Neural Eng; 2017 Feb; 14(1):016003. PubMed ID: 27900952
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
    Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.