BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 38565100)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding.
    Chen J; Wang D; Yi W; Xu M; Tan X
    J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36763992
    [No Abstract]   [Full Text] [Related]  

  • 8. Relevance-based channel selection in motor imagery brain-computer interface.
    Nagarajan A; Robinson N; Guan C
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36548997
    [No Abstract]   [Full Text] [Related]  

  • 9. 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]  

  • 10. A Self-Supervised Learning Based Channel Attention MLP-Mixer Network for Motor Imagery Decoding.
    He Y; Lu Z; Wang J; Ying S; Shi J
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2406-2417. PubMed ID: 35976835
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model.
    Yu S; Wang Z; Wang F; Chen K; Yao D; Xu P; Zhang Y; Wang H; Zhang T
    Cereb Cortex; 2024 Jan; 34(2):. PubMed ID: 38183186
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
    Collazos-Huertas DF; Álvarez-Meza AM; Cárdenas-Peña DA; Castaño-Duque GA; Castellanos-Domínguez CG
    Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36904950
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. An improved self-supervised learning for EEG classification.
    Ou Y; Sun S; Gan H; Zhou R; Yang Z
    Math Biosci Eng; 2022 May; 19(7):6907-6922. PubMed ID: 35730288
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification.
    Lun X; Zhang Y; Zhu M; Lian Y; Hou Y
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960592
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.
    Xie Y; Oniga S
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850530
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain-computer interfaces.
    Zuo C; Jin J; Xu R; Wu L; Liu C; Miao Y; Wang X
    J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33524961
    [No Abstract]   [Full Text] [Related]  

  • 20. Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification.
    Jiang X; Meng L; Wang Z; Wu D
    IEEE Trans Biomed Eng; 2024 Apr; 71(4):1308-1318. PubMed ID: 37971908
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.