BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

371 related articles for article (PubMed ID: 30897519)

  • 1. Learning joint space-time-frequency features for EEG decoding on small labeled data.
    Zhao D; Tang F; Si B; Feng X
    Neural Netw; 2019 Jun; 114():67-77. PubMed ID: 30897519
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Deep learning with convolutional neural networks for EEG decoding and visualization.
    Schirrmeister RT; Springenberg JT; Fiederer LDJ; Glasstetter M; Eggensperger K; Tangermann M; Hutter F; Burgard W; Ball T
    Hum Brain Mapp; 2017 Nov; 38(11):5391-5420. PubMed ID: 28782865
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination.
    Borra D; Fantozzi S; Magosso E
    Neural Netw; 2020 Sep; 129():55-74. PubMed ID: 32502798
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces.
    Lawhern VJ; Solon AJ; Waytowich NR; Gordon SM; Hung CP; Lance BJ
    J Neural Eng; 2018 Oct; 15(5):056013. PubMed ID: 29932424
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding.
    Li Y; Zhang XR; Zhang B; Lei MY; Cui WG; Guo YZ
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1170-1180. PubMed ID: 31071048
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Decoding movement kinematics from EEG using an interpretable convolutional neural network.
    Borra D; Mondini V; Magosso E; Müller-Putz GR
    Comput Biol Med; 2023 Oct; 165():107323. PubMed ID: 37619325
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. MI-EEGNET: A novel convolutional neural network for motor imagery classification.
    Riyad M; Khalil M; Adib A
    J Neurosci Methods; 2021 Apr; 353():109037. PubMed ID: 33338542
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Machine-learning-based diagnostics of EEG pathology.
    Gemein LAW; Schirrmeister RT; Chrabąszcz P; Wilson D; Boedecker J; Schulze-Bonhage A; Hutter F; Ball T
    Neuroimage; 2020 Oct; 220():117021. PubMed ID: 32534126
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Decoding and interpreting cortical signals with a compact convolutional neural network.
    Petrosyan A; Sinkin M; Lebedev M; Ossadtchi A
    J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33524962
    [No Abstract]   [Full Text] [Related]  

  • 15. Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification.
    Emsawas T; Morita T; Kimura T; Fukui KI; Numao M
    Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365948
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.
    Lotte F; Bougrain L; Cichocki A; Clerc M; Congedo M; Rakotomamonjy A; Yger F
    J Neural Eng; 2018 Jun; 15(3):031005. PubMed ID: 29488902
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Motor imagery EEG decoding using manifold embedded transfer learning.
    Cai Y; She Q; Ji J; Ma Y; Zhang J; Zhang Y
    J Neurosci Methods; 2022 Mar; 370():109489. PubMed ID: 35090904
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks.
    Bang JS; Lee MH; Fazli S; Guan C; Lee SW
    IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3038-3049. PubMed ID: 33449886
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment.
    Zhang P; Wang X; Zhang W; Chen J
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jan; 27(1):31-42. PubMed ID: 30507536
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.