BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 11956810)

  • 21. On semi-blind source separation using spatial constraints with applications in EEG analysis.
    Hesse CW; James CJ
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2525-34. PubMed ID: 17153210
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Extraction of rabbit somatosensory evoked potentials (SEP) with independent component analysis].
    Li ZY; Liu SR; Xie ZX
    Space Med Med Eng (Beijing); 2005 Apr; 18(2):112-6. PubMed ID: 15977389
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Improved quality of auditory event-related potentials recorded simultaneously with 3-T fMRI: removal of the ballistocardiogram artefact.
    Debener S; Strobel A; Sorger B; Peters J; Kranczioch C; Engel AK; Goebel R
    Neuroimage; 2007 Jan; 34(2):587-97. PubMed ID: 17112746
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Independent component analysis removing artifacts in ictal recordings.
    Urrestarazu E; Iriarte J; Alegre M; Valencia M; Viteri C; Artieda J
    Epilepsia; 2004 Sep; 45(9):1071-8. PubMed ID: 15329072
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An independent component analysis-based approach on ballistocardiogram artifact removing.
    Briselli E; Garreffa G; Bianchi L; Bianciardi M; Macaluso E; Abbafati M; Grazia Marciani M; Maraviglia B
    Magn Reson Imaging; 2006 May; 24(4):393-400. PubMed ID: 16677945
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings.
    De Clercq W; Vanrumste B; Papy JM; Van Paesschen W; Van Huffel S
    IEEE Trans Biomed Eng; 2005 Dec; 52(12):2006-15. PubMed ID: 16366224
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model.
    Maeda S; Song WJ; Ishii S
    Neural Comput; 2005 Jan; 17(1):115-44. PubMed ID: 15563750
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A robust hidden Markov Gauss mixture vector quantizer for a noisy source.
    Pyun KP; Lim J; Gray RM
    IEEE Trans Image Process; 2009 Jul; 18(7):1385-94. PubMed ID: 19457751
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Constrained ICA and its application to removing artifacts in EEG].
    Gao A; Luo Y; Chen K
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Jun; 25(3):497-501. PubMed ID: 18693418
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Measuring directional coupling between EEG sources.
    Gómez-Herrero G; Atienza M; Egiazarian K; Cantero JL
    Neuroimage; 2008 Nov; 43(3):497-508. PubMed ID: 18707006
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Adaptive algorithm for blind separation from noisy time-varying mixtures.
    Koivunen V; Enescu M; Oja E
    Neural Comput; 2001 Oct; 13(10):2339-57. PubMed ID: 11571001
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis.
    Calhoun VD; Adali T; Stevens MC; Kiehl KA; Pekar JJ
    Neuroimage; 2005 Apr; 25(2):527-38. PubMed ID: 15784432
    [TBL] [Abstract][Full Text] [Related]  

  • 33. ERP denoising in multichannel EEG data using contrasts between signal and noise subspaces.
    Ivannikov A; Kalyakin I; Hämäläinen J; Leppänen PH; Ristaniemi T; Lyytinen H; Kärkkäinen T
    J Neurosci Methods; 2009 Jun; 180(2):340-51. PubMed ID: 19464521
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis.
    James CJ; Gibson OJ
    IEEE Trans Biomed Eng; 2003 Sep; 50(9):1108-16. PubMed ID: 12943278
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Using ICA for removal of ocular artifacts in EEG recorded from blind subjects.
    Flexer A; Bauer H; Pripfl J; Dorffner G
    Neural Netw; 2005 Sep; 18(7):998-1005. PubMed ID: 15990276
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Efficient blind dereverberation and echo cancellation based on independent component analysis for actual acoustic signals.
    Takeda R; Nakadai K; Takahashi T; Komatani K; Ogata T; Okuno HG
    Neural Comput; 2012 Jan; 24(1):234-72. PubMed ID: 22023192
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Independent component analysis and clustering improve signal-to-noise ratio for statistical analysis of event-related potentials.
    Zeman PM; Till BC; Livingston NJ; Tanaka JW; Driessen PF
    Clin Neurophysiol; 2007 Dec; 118(12):2591-604. PubMed ID: 17967560
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Separation of fetal and maternal magnetocardiographic signals in twin pregnancy using independent component analysis (ICA).
    Burghoff M; Van Leeuwen P
    Neurol Clin Neurophysiol; 2004 Nov; 2004():39. PubMed ID: 16012617
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.