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 *

143 related articles for article (PubMed ID: 36541502)

  • 1. 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]  

  • 2. Automatic detection of epileptic seizures using Riemannian geometry from scalp EEG recordings.
    Shariat A; Zarei A; Karvigh SA; Asl BM
    Med Biol Eng Comput; 2021 Aug; 59(7-8):1431-1445. PubMed ID: 34128177
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices.
    Tang F; Fan M; Tino P
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):281-292. PubMed ID: 32203035
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.
    Tang F; Feng H; Tino P; Si B; Ji D
    Neural Netw; 2021 Oct; 142():105-118. PubMed ID: 33984734
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity.
    You K; Park HJ
    Neuroimage; 2021 Jan; 225():117464. PubMed ID: 33075555
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Attentional State Classification Using Amplitude and Phase Feature Extraction Method Based on Filter Bank and Riemannian Manifold.
    Xu G; Wang Z; Zhao X; Li R; Zhou T; Xu T; Hu H
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4402-4412. PubMed ID: 37917520
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Approximate joint diagonalization and geometric mean of symmetric positive definite matrices.
    Congedo M; Afsari B; Barachant A; Moakher M
    PLoS One; 2014; 10(4):e0121423. PubMed ID: 25919667
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification.
    Yamamoto MS; Sadatnejad K; Tanaka T; Islam MR; Dehais F; Tanaka Y; Lotte F
    IEEE Trans Biomed Eng; 2024 Feb; 71(2):377-387. PubMed ID: 37450357
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. A complex-valued functional brain connectivity descriptor amenable to Riemannian geometry.
    Kalaganis FP; Laskaris NA; Chatzilari E; Adamos DA; Nikolopoulos S; Kompatsiaris I
    J Neural Eng; 2020 Apr; 17(2):024001. PubMed ID: 32191928
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states.
    Sabbagh D; Ablin P; Varoquaux G; Gramfort A; Engemann DA
    Neuroimage; 2020 Nov; 222():116893. PubMed ID: 32439535
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.
    Jiang D; Ma Y; Wang Y
    Comput Methods Programs Biomed; 2019 Sep; 178():19-30. PubMed ID: 31416548
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.