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 *

124 related articles for article (PubMed ID: 19163574)

  • 21. Adjusting the effect of nonstationarity in cluster-based and TFCE inference.
    Salimi-Khorshidi G; Smith SM; Nichols TE
    Neuroimage; 2011 Feb; 54(3):2006-19. PubMed ID: 20955803
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A combined SPM-ICA approach to fMRI.
    Penney TJ; Koles ZJ
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():723-6. PubMed ID: 17946854
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data.
    Kim YH; Kim J; Lee JH
    Neuroimage; 2012 Dec; 63(4):1864-89. PubMed ID: 22939873
    [TBL] [Abstract][Full Text] [Related]  

  • 24. ROC evaluation of statistical wavelet-based analysis of brain activation in [15O]-H2O PET scans.
    Desco M; Penedo M; Gispert JD; Vaquero JJ; Reig S; García-Barreno P
    Neuroimage; 2005 Feb; 24(3):763-70. PubMed ID: 15652311
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Anatomically informed bayesian model selection for fMRI group data analysis.
    Keller M; Lavielle M; Perrot M; Roche A
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):450-7. PubMed ID: 20426143
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimal spline smoothing of fMRI time series by generalized cross-validation.
    Carew JD; Wahba G; Xie X; Nordheim EV; Meyerand ME
    Neuroimage; 2003 Apr; 18(4):950-61. PubMed ID: 12725770
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing.
    Wink AM; Roerdink JB
    IEEE Trans Med Imaging; 2004 Mar; 23(3):374-87. PubMed ID: 15027530
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Plurality and resemblance in fMRI data analysis.
    Lange N; Strother SC; Anderson JR; Nielsen FA; Holmes AP; Kolenda T; Savoy R; Hansen LK
    Neuroimage; 1999 Sep; 10(3 Pt 1):282-303. PubMed ID: 10458943
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Unified segmentation.
    Ashburner J; Friston KJ
    Neuroimage; 2005 Jul; 26(3):839-51. PubMed ID: 15955494
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Application of statistical parametric mapping to SPET in the assessment of intractable childhood epilepsy.
    Bruggemann JM; Som SS; Lawson JA; Haindl W; Cunningham AM; Bye AM
    Eur J Nucl Med Mol Imaging; 2004 Mar; 31(3):369-77. PubMed ID: 14647983
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An introduction to anatomical ROI-based fMRI classification analysis.
    Etzel JA; Gazzola V; Keysers C
    Brain Res; 2009 Jul; 1282():114-25. PubMed ID: 19505449
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Use of statistical parametric mapping (SPM) to enhance electrical impedance tomography (EIT) image sets.
    Yerworth RJ; Zhang Y; Tidswell T; Bayford RH; Holder DS
    Physiol Meas; 2007 Jul; 28(7):S141-51. PubMed ID: 17664632
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Effect of anatomical variability, reconstruction algorithms and scattered photons on the SPM output of brain PET studies.
    Aguiar P; Pareto D; Gispert JD; Crespo C; Falcón C; Cot A; Lomeña F; Pavía J; Ros D
    Neuroimage; 2008 Feb; 39(3):1121-8. PubMed ID: 18042402
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'.
    Ridgway GR; Litvak V; Flandin G; Friston KJ; Penny WD
    Neuroimage; 2012 Feb; 59(3):2131-41. PubMed ID: 22037420
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Effects of spatial smoothing on fMRI group inferences.
    Mikl M; Marecek R; Hlustík P; Pavlicová M; Drastich A; Chlebus P; Brázdil M; Krupa P
    Magn Reson Imaging; 2008 May; 26(4):490-503. PubMed ID: 18060720
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Canonical cerebellar graph wavelets and their application to FMRI activation mapping.
    Behjat H; Leonardi N; Sörnmo L; Van De Ville D
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1039-42. PubMed ID: 25570139
    [TBL] [Abstract][Full Text] [Related]  

  • 37. WASICA: An effective wavelet-shrinkage based ICA model for brain fMRI data analysis.
    Wang N; Zeng W; Shi Y; Ren T; Jing Y; Yin J; Yang J
    J Neurosci Methods; 2015 May; 246():75-96. PubMed ID: 25791013
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Complex-number representation of informed basis functions in general linear modeling of Functional Magnetic Resonance Imaging.
    Wang P; Wang Z; He L
    J Neurosci Methods; 2012 Mar; 205(1):28-35. PubMed ID: 22227535
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Effects of attenuation correction and reconstruction method on PET activation studies.
    Mesina CT; Boellaard R; van den Heuvel OA; Veltman DJ; Jongbloed G; van der Vaart AW; Lammertsma AA
    Neuroimage; 2003 Oct; 20(2):898-908. PubMed ID: 14568460
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The evaluation of preprocessing choices in single-subject BOLD fMRI using NPAIRS performance metrics.
    LaConte S; Anderson J; Muley S; Ashe J; Frutiger S; Rehm K; Hansen LK; Yacoub E; Hu X; Rottenberg D; Strother S
    Neuroimage; 2003 Jan; 18(1):10-27. PubMed ID: 12507440
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.