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 *

101 related articles for article (PubMed ID: 27913361)

  • 1. Constrained Null Space Component Analysis for Semiblind Source Separation Problem.
    Hwang WL; Lu KS; Ho J
    IEEE Trans Neural Netw Learn Syst; 2018 Feb; 29(2):377-391. PubMed ID: 27913361
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of constrained independent component analysis algorithms in electrocardiogram arrhythmias.
    Llinares R; Igual J
    Artif Intell Med; 2009 Oct; 47(2):121-33. PubMed ID: 19515541
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new method for the extraction of fetal ECG from the dependent abdominal signals using blind source separation and adaptive noise cancellation techniques.
    Ghazdali A; Hakim A; Laghrib A; Mamouni N; Raghay S
    Theor Biol Med Model; 2015 Nov; 12():25. PubMed ID: 26576777
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of proximal operator graph solver for radiation therapy inverse treatment planning.
    Liu X; Pelizzari C; Belcher AH; Grelewicz Z; Wiersma RD
    Med Phys; 2017 Apr; 44(4):1246-1256. PubMed ID: 28211070
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG.
    Ball K; Bigdely-Shamlo N; Mullen T; Robbins K
    Comput Intell Neurosci; 2016; 2016():9754813. PubMed ID: 27340397
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation.
    Guo R; Luo Z; Li M
    Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617090
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures.
    Jutten C; Karhunen J
    Int J Neural Syst; 2004 Oct; 14(5):267-92. PubMed ID: 15593377
    [TBL] [Abstract][Full Text] [Related]  

  • 8. General nonunitary constrained ICA and its application to complex-valued fMRI data.
    Rodriguez PA; Anderson M; Calhoun VD; Adali T
    IEEE Trans Biomed Eng; 2015 Mar; 62(3):922-9. PubMed ID: 25420255
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pattern expression nonnegative matrix factorization: algorithm and applications to blind source separation.
    Zhang J; Wei L; Feng X; Ma Z; Wang Y
    Comput Intell Neurosci; 2008; 2008():168769. PubMed ID: 18566689
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources.
    Van Vaerenbergh S; Santamaría I
    IEEE Trans Neural Netw; 2006 May; 17(3):811-4. PubMed ID: 16722185
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Independent component analysis based on nonparametric density estimation.
    Boscolo R; Pan H; Roychowdhury VP
    IEEE Trans Neural Netw; 2004 Jan; 15(1):55-65. PubMed ID: 15387247
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources.
    Ge R; Wang Y; Zhang J; Yao L; Zhang H; Long Z
    J Neurosci Methods; 2016 Apr; 263():103-14. PubMed ID: 26880161
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel constrained topographic independent component analysis for separation of epileptic seizure signals.
    Jing M; Sanei S
    Comput Intell Neurosci; 2007; 2007():21315. PubMed ID: 18364988
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Blind source separation and deconvolution: the dynamic component analysis algorithm.
    Attias H; Schreiner CE
    Neural Comput; 1998 Aug; 10(6):1373-424. PubMed ID: 9698349
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Convolutive bounded component analysis algorithms for independent and dependent source separation.
    Inan HA; Erdogan AT
    IEEE Trans Neural Netw Learn Syst; 2015 Apr; 26(4):697-708. PubMed ID: 25794376
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias.
    Castells F; Rieta JJ; Millet J; Zarzoso V; Associate
    IEEE Trans Biomed Eng; 2005 Feb; 52(2):258-67. PubMed ID: 15709663
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Convex Geometry-Based Blind Source Separation Method for Separating Nonnegative Sources.
    Yang Z; Xiang Y; Rong Y; Xie K
    IEEE Trans Neural Netw Learn Syst; 2015 Aug; 26(8):1635-44. PubMed ID: 25203999
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal.
    Oosugi N; Kitajo K; Hasegawa N; Nagasaka Y; Okanoya K; Fujii N
    Neural Netw; 2017 Sep; 93():1-6. PubMed ID: 28505599
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation.
    Zi J; Lv D; Liu J; Huang X; Yao W; Gao M; Xi R; Zhang Y
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009658
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel algorithm for independent component analysis with reference and methods for its applications.
    Mi JX
    PLoS One; 2014; 9(5):e93984. PubMed ID: 24826986
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.