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 *

140 related articles for article (PubMed ID: 33018024)

  • 1. Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition.
    Anam K; Bukhori S; Hanggara FS; Pratama M
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():447-450. PubMed ID: 33018024
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.
    Kwon OY; Lee MH; Guan C; Lee SW
    IEEE Trans Neural Netw Learn Syst; 2020 Oct; 31(10):3839-3852. PubMed ID: 31725394
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning of Motor Imagery EEG Classification for Brain-Computer Interface Illiterate Subject
    Zhang R; Wang Y; Li X; Liu B; Zhang L; Chen M; Hu Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3087-3090. PubMed ID: 31946540
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks.
    Zhang K; Xu G; Chen L; Tian P; Han C; Zhang S; Duan N
    Comput Math Methods Med; 2020; 2020():1683013. PubMed ID: 32908576
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG.
    Cooney C; Korik A; Folli R; Coyle D
    Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824559
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.
    Fahimi F; Zhang Z; Goh WB; Lee TS; Ang KK; Guan C
    J Neural Eng; 2019 Apr; 16(2):026007. PubMed ID: 30524056
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
    Dar MN; Akram MU; Yuvaraj R; Gul Khawaja S; Murugappan M
    Comput Biol Med; 2022 May; 144():105327. PubMed ID: 35303579
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
    Zhang K; Robinson N; Lee SW; Guan C
    Neural Netw; 2021 Apr; 136():1-10. PubMed ID: 33401114
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applying Common Spatial Pattern and Convolutional Neural Network to Classify Movements via EEG Signals.
    Zolfaghari S; Yousefi Rezaii T; Meshgini S
    Clin EEG Neurosci; 2024 Jul; 55(4):486-495. PubMed ID: 38523306
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification.
    Liu X; Lv L; Shen Y; Xiong P; Yang J; Liu J
    J Neural Eng; 2021 Feb; 18(2):. PubMed ID: 33395676
    [No Abstract]   [Full Text] [Related]  

  • 12. Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach.
    Uyulan C; Ergüzel TT; Unubol H; Cebi M; Sayar GH; Nezhad Asad M; Tarhan N
    Clin EEG Neurosci; 2021 Jan; 52(1):38-51. PubMed ID: 32491928
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces.
    Gao W; Yu T; Yu JG; Gu Z; Li K; Huang Y; Yu ZL; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1047-1057. PubMed ID: 34033543
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG).
    Wu X; Jiang S; Li G; Liu S; Metcalfe B; Chen L; Zhang D
    IEEE J Biomed Health Inform; 2023 May; 27(5):2387-2398. PubMed ID: 37022416
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning for electroencephalogram (EEG) classification tasks: a review.
    Craik A; He Y; Contreras-Vidal JL
    J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks.
    Craik A; Kilicarslan A; Contreras-Vidal JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3046-3049. PubMed ID: 31946530
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces.
    Santamaria-Vazquez E; Martinez-Cagigal V; Vaquerizo-Villar F; Hornero R
    IEEE Trans Neural Syst Rehabil Eng; 2020 Dec; 28(12):2773-2782. PubMed ID: 33378260
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks.
    Sakhavi S; Guan C; Yan S
    IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5619-5629. PubMed ID: 29994075
    [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.