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 *

147 related articles for article (PubMed ID: 19163055)

  • 1. ICA based multiple brain sources localization.
    Chen Y; Akutagawa M; Katayama M; Zhang Q; Kinouchi Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1879-82. PubMed ID: 19163055
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation of signal and noise covariance using ICA for high-resolution cortical dipole imaging.
    Hori J
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3987-90. PubMed ID: 19163586
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inverse modeling on decomposed electroencephalographic data: a way forward?
    Lelic D; Gratkowski M; Valeriani M; Arendt-Nielsen L; Drewes AM
    J Clin Neurophysiol; 2009 Aug; 26(4):227-35. PubMed ID: 19584750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Source-space ICA for EEG source separation, localization, and time-course reconstruction.
    Jonmohamadi Y; Poudel G; Innes C; Jones R
    Neuroimage; 2014 Nov; 101():720-37. PubMed ID: 25108125
    [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. [Multiple dipole source localization from spatio-temporal EEG data by Quasi-Newton-ICA method].
    Zou L; Zhu S; He B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Dec; 23(6):1206-12. PubMed ID: 17228710
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the estimation of the number of dipole sources in EEG source localization.
    Bai X; He B
    Clin Neurophysiol; 2005 Sep; 116(9):2037-43. PubMed ID: 16043395
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spectral Independent Component Analysis with noise modeling for M/EEG source separation.
    Ablin P; Cardoso JF; Gramfort A
    J Neurosci Methods; 2021 May; 356():109144. PubMed ID: 33771653
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis on subtracting projection of extracted independent components from EEG recordings.
    Cong F; Kalyakin I; Chang Z; Ristaniemi T
    Biomed Tech (Berl); 2011 Aug; 56(4):223-34. PubMed ID: 21823999
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data.
    Bridwell DA; Rachakonda S; Silva RF; Pearlson GD; Calhoun VD
    Brain Topogr; 2018 Jan; 31(1):47-61. PubMed ID: 26909688
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of correlated sources in EEG using combination of beamforming and surface Laplacian methods.
    Murzin V; Fuchs A; Scott Kelso JA
    J Neurosci Methods; 2013 Aug; 218(1):96-102. PubMed ID: 23769770
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Electromagnetic tomography via source-space-ICA.
    Jonmohamadi Y; Poudel G; Innes C; Jones RD
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():37-40. PubMed ID: 24109618
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Systematic source estimation of spikes by a combination of independent component analysis and RAP-MUSIC. I: Principles and simulation study.
    Kobayashi K; Akiyama T; Nakahori T; Yoshinaga H; Gotman J
    Clin Neurophysiol; 2002 May; 113(5):713-24. PubMed ID: 11976051
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Independent Components Analysis (ICA) in the study of electroencephalographic signals].
    Urrestarazu E; Iriarte J
    Neurologia; 2005; 20(6):299-310. PubMed ID: 16007513
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Recovering dipole sources from scalp-recorded event-related-potentials using component analysis: principal component analysis and independent component analysis.
    Richards JE
    Int J Psychophysiol; 2004 Nov; 54(3):201-20. PubMed ID: 15331212
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accuracy of two dipolar inverse algorithms applying reciprocity for forward calculation.
    Laarne P; Hyttinen J; Dodel S; Malmivuo J; Eskola H
    Comput Biomed Res; 2000 Jun; 33(3):172-85. PubMed ID: 10860584
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Recursive MUSIC: a framework for EEG and MEG source localization.
    Mosher JC; Leahy RM
    IEEE Trans Biomed Eng; 1998 Nov; 45(11):1342-54. PubMed ID: 9805833
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The accuracy of localizing equivalent dipoles and the spatio-temporal correlations of background EEG.
    Yamazaki T; Van Dijk BW; Spekreijse H
    IEEE Trans Biomed Eng; 1998 Sep; 45(9):1114-21. PubMed ID: 9735561
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatial resolution for EEG source reconstruction-A simulation study on SEPs.
    Kalogianni K; de Munck JC; Nolte G; Vardy AN; van der Helm FCT; Daffertshofer A
    J Neurosci Methods; 2018 May; 301():9-17. PubMed ID: 29496570
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Error bounds for EEG and MEG dipole source localization.
    Mosher JC; Spencer ME; Leahy RM; Lewis PS
    Electroencephalogr Clin Neurophysiol; 1993 May; 86(5):303-21. PubMed ID: 7685264
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.