BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 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. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals.
    Salimpour S; Kalbkhani H; Seyyedi S; Solouk V
    Sci Rep; 2022 Jul; 12(1):11773. PubMed ID: 35817814
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SincMSNet: a Sinc filter convolutional neural network for EEG motor imagery classification.
    Liu K; Yang M; Xing X; Yu Z; Wu W
    J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37683664
    [No Abstract]   [Full Text] [Related]  

  • 19. Motor Imagery EEG Classification Using Capsule Networks.
    Ha KW; Jeong JW
    Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31252557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Decoding Algorithm of Motor Imagery Electroencephalogram Signal Based on CLRNet Network Model.
    Zhang C; Chu H; Ma M
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765751
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.