BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 16686403)

  • 1. On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation.
    Bohm M; Stadlthanner K; Gruber P; Theis FJ; Lang EW; Tome AM; Teixeira AR; Gronwald W; Kalbitzer HR
    IEEE Trans Biomed Eng; 2006 May; 53(5):810-20. PubMed ID: 16686403
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only.
    Ting KH; Fung PC; Chang CQ; Chan FH
    Med Eng Phys; 2006 Oct; 28(8):780-94. PubMed ID: 16406675
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Removal of EEG noise and artifact using blind source separation.
    Fitzgibbon SP; Powers DM; Pope KJ; Clark CR
    J Clin Neurophysiol; 2007 Jun; 24(3):232-43. PubMed ID: 17545826
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.
    Romero S; Mañanas MA; Barbanoj MJ
    Comput Biol Med; 2008 Mar; 38(3):348-60. PubMed ID: 18222418
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals.
    Barbati G; Porcaro C; Zappasodi F; Rossini PM; Tecchio F
    Clin Neurophysiol; 2004 May; 115(5):1220-32. PubMed ID: 15066548
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: novel solution obtained by sparse component analysis-based blind decomposition.
    Kopriva I; Jerić I; Smrecki V
    Anal Chim Acta; 2009 Oct; 653(2):143-53. PubMed ID: 19808106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated protocol for evaluation of electromagnetic component separation (APECS): Application of a framework for evaluating statistical methods of blink extraction from multichannel EEG.
    Frank RM; Frishkoff GA
    Clin Neurophysiol; 2007 Jan; 118(1):80-97. PubMed ID: 17064960
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal.
    Vergult A; De Clercq W; Palmini A; Vanrumste B; Dupont P; Van Huffel S; Van Paesschen W
    Epilepsia; 2007 May; 48(5):950-8. PubMed ID: 17381439
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimized wavelets for blind separation of nonstationary surface myoelectric signals.
    Farina D; Lucas MF; Doncarli C
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):78-86. PubMed ID: 18232349
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics.
    Congedo M; Gouy-Pailler C; Jutten C
    Clin Neurophysiol; 2008 Dec; 119(12):2677-86. PubMed ID: 18993114
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhanced mu rhythm extraction using blind source separation and wavelet transform.
    Ng SC; Raveendran P
    IEEE Trans Biomed Eng; 2009 Aug; 56(8):2024-34. PubMed ID: 19457744
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Face recognition using IPCA-ICA algorithm.
    Dagher I; Nachar R
    IEEE Trans Pattern Anal Mach Intell; 2006 Jun; 28(6):996-1000. PubMed ID: 16724592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi-automatic identification of independent components representing EEG artifact.
    Viola FC; Thorne J; Edmonds B; Schneider T; Eichele T; Debener S
    Clin Neurophysiol; 2009 May; 120(5):868-77. PubMed ID: 19345611
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An approach to automated frequency-domain feature extraction in nuclear magnetic resonance spectroscopy.
    Koh HW; Maddula S; Lambert J; Hergenröder R; Hildebrand L
    J Magn Reson; 2009 Dec; 201(2):146-56. PubMed ID: 19804999
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging.
    Hallez H; De Vos M; Vanrumste B; Van Hese P; Assecondi S; Van Laere K; Dupont P; Van Paesschen W; Van Huffel S; Lemahieu I
    Clin Neurophysiol; 2009 Jul; 120(7):1262-72. PubMed ID: 19539525
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signals.
    Migliorelli C; Alonso JF; Romero S; Mañanas MA; Nowak R; Russi A
    J Neural Eng; 2015 Aug; 12(4):046001. PubMed ID: 26015414
    [TBL] [Abstract][Full Text] [Related]  

  • 17. IRIS-HSVD algorithm for automatic quantitation of in vivo 31P MRS.
    Wang X; Lee JH
    J Magn Reson; 2009 Jan; 196(1):23-32. PubMed ID: 18926748
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy.
    Mammone N; Morabito FC
    Neural Netw; 2008 Sep; 21(7):1029-40. PubMed ID: 18430547
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Blind source separation of peripheral nerve recordings.
    Tesfayesus W; Durand DM
    J Neural Eng; 2007 Sep; 4(3):S157-67. PubMed ID: 17873415
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated artifact removal from the electroencephalogram: a comparative study.
    Daly I; Nicolaou N; Nasuto SJ; Warwick K
    Clin EEG Neurosci; 2013 Oct; 44(4):291-306. PubMed ID: 23666954
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.