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 *

182 related articles for article (PubMed ID: 30998456)

  • 1. A Riemannian Geometry Approach to Reduced and Discriminative Covariance Estimation in Brain Computer Interfaces.
    Kalaganis FP; Laskaris NA; Chatzilari E; Nikolopoulos S; Kompatsiaris I
    IEEE Trans Biomed Eng; 2020 Jan; 67(1):245-255. PubMed ID: 30998456
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
    Kumar S; Mamun K; Sharma A
    Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiclass brain-computer interface classification by Riemannian geometry.
    Barachant A; Bonnet S; Congedo M; Jutten C
    IEEE Trans Biomed Eng; 2012 Apr; 59(4):920-8. PubMed ID: 22010143
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods.
    Majidov I; Whangbo T
    Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30978978
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.
    Xie X; Yu ZL; Lu H; Gu Z; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):504-516. PubMed ID: 27392361
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.
    Zanini P; Congedo M; Jutten C; Said S; Berthoumieu Y
    IEEE Trans Biomed Eng; 2018 May; 65(5):1107-1116. PubMed ID: 28841546
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction.
    Gao Y; Sun X; Meng M; Zhang Y
    Comput Biol Med; 2022 Jul; 146():105606. PubMed ID: 35588679
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Riemannian Approaches in Brain-Computer Interfaces: A Review.
    Yger F; Berar M; Lotte F
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1753-1762. PubMed ID: 27845666
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces.
    Rodrigues PLC; Jutten C; Congedo M
    IEEE Trans Biomed Eng; 2019 Aug; 66(8):2390-2401. PubMed ID: 30596565
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices and its application in brain-computer interfaces.
    Davoudi A; Ghidary SS; Sadatnejad K
    J Neural Eng; 2017 Jun; 14(3):036019. PubMed ID: 28220764
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discriminative channel addition and reduction for filter bank common spatial pattern in motor imagery BCI.
    Chin ZY; Ang KK; Wang C; Guan C
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1310-3. PubMed ID: 25570207
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization.
    Kalaganis FP; Laskaris NA; Oikonomou VP; Nikopolopoulos S; Kompatsiaris I
    J Neural Eng; 2022 Dec; 19(6):. PubMed ID: 36541502
    [No Abstract]   [Full Text] [Related]  

  • 13. EEG representation using multi-instance framework on the manifold of symmetric positive definite matrices.
    Sadatnejad K; Rahmati M; Rostami R; Kazemi R; Ghidary SS; Müller A; Alimardani F
    J Neural Eng; 2019 Jun; 16(3):036016. PubMed ID: 30844780
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression.
    Chu Y; Zhao X; Zou Y; Xu W; Song G; Han J; Zhao Y
    J Neural Eng; 2020 Aug; 17(4):046029. PubMed ID: 32780720
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discriminative spatial-frequency-temporal feature extraction and classification of motor imagery EEG: An sparse regression and Weighted Naïve Bayesian Classifier-based approach.
    Miao M; Zeng H; Wang A; Zhao C; Liu F
    J Neurosci Methods; 2017 Feb; 278():13-24. PubMed ID: 28012854
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices.
    Congedo M; Rodrigues PLC; Bouchard F; Barachant A; Jutten C
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3198-3201. PubMed ID: 29060578
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry.
    Guan S; Zhao K; Yang S
    Comput Intell Neurosci; 2019; 2019():5627156. PubMed ID: 30804988
    [TBL] [Abstract][Full Text] [Related]  

  • 18. EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features.
    Wu D; Lance BJ; Lawhern VJ; Gordon S; Jung TP; Lin CT
    IEEE Trans Neural Syst Rehabil Eng; 2017 Nov; 25(11):2157-2168. PubMed ID: 28463203
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities.
    Sadatnejad K; Lotte F
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1158-1171. PubMed ID: 35420985
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI.
    Chevallier S; Kalunga EK; Barthélemy Q; Monacelli E
    Neuroinformatics; 2021 Jan; 19(1):93-106. PubMed ID: 32562187
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.