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Journal Abstract Search

286 related items for PubMed ID: 16685865

  • 1. Parametric response surface models for analysis of multi-site fMRI data.
    Kim S, Smyth P, Stern H, Turner J.
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):352-9. PubMed ID: 16685865
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  • 5. Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression.
    Wang YM, Schultz RT, Constable RT, Staib LH.
    Inf Process Med Imaging; 2003 Jul; 18():647-59. PubMed ID: 15344495
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  • 6. A Bayesian hierarchical framework for spatial modeling of fMRI data.
    DuBois Bowman F, Caffo B, Bassett SS, Kilts C.
    Neuroimage; 2008 Jan 01; 39(1):146-56. PubMed ID: 17936016
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  • 7. Discovering structure in the space of activation profiles in fMRI.
    Lashkari D, Vul E, Kanwisher N, Golland P.
    Med Image Comput Comput Assist Interv; 2008 Jan 01; 11(Pt 1):1016-24. PubMed ID: 18979845
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  • 8. Spatiotemporal localization of significant activation in MEG using permutation tests.
    Pantazis D, Nichols TE, Baillet S, Leahy RM.
    Inf Process Med Imaging; 2003 Jul 01; 18():512-23. PubMed ID: 15344484
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  • 9. Increasing the effect size in event-related fMRI studies.
    McKeown MJ, Wang ZJ, Abugharbieh R, Handy TC.
    IEEE Eng Med Biol Mag; 2006 Jul 01; 25(2):91-101. PubMed ID: 16568941
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  • 10. Analysis of event-related fMRI data using best clustering bases.
    Meyer FG, Chinrungrueng J.
    Inf Process Med Imaging; 2003 Jul 01; 18():623-34. PubMed ID: 15344493
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  • 11. Finding landmarks in the functional brain: detection and use for group characterization.
    Thirion B, Pinel P, Poline JB.
    Med Image Comput Comput Assist Interv; 2005 Jul 01; 8(Pt 2):476-83. PubMed ID: 16685994
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  • 12. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
    Faisan S, Thoraval L, Armspach JP, Metz-Lutz MN, Heitz F.
    IEEE Trans Med Imaging; 2005 Feb 01; 24(2):263-76. PubMed ID: 15707252
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  • 13. Subspace approaches for FMRI time series estimation.
    Niskanen EI, Tarvainen MP, Kononen M, Soininen H, Karjalainen PA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Feb 01; 2007():5485-8. PubMed ID: 18003253
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  • 14. Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studies.
    Thirion B, Pinel P, Tucholka A, Roche A, Ciuciu P, Mangin JF, Poline JB.
    IEEE Trans Med Imaging; 2007 Sep 01; 26(9):1256-69. PubMed ID: 17896597
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  • 15. Unmixing fMRI with independent component analysis.
    Calhoun VD, Adali T.
    IEEE Eng Med Biol Mag; 2006 Sep 01; 25(2):79-90. PubMed ID: 16568940
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  • 16. Spatially adaptive mixture modeling for analysis of FMRI time series.
    Vincent T, Risser L, Ciuciu P.
    IEEE Trans Med Imaging; 2010 Apr 01; 29(4):1059-74. PubMed ID: 20350840
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  • 17. Accurate definition of brain regions position through the functional landmark approach.
    Thirion B, Varoquaux G, Poline JB.
    Med Image Comput Comput Assist Interv; 2010 Apr 01; 13(Pt 2):241-8. PubMed ID: 20879321
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  • 18. Modeling and inference of multisubject fMRI data.
    Mumford JA, Nichols T.
    IEEE Eng Med Biol Mag; 2006 Apr 01; 25(2):42-51. PubMed ID: 16568936
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  • 19. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
    Hossein-Zadeh GA, Ardekani BA, Soltanian-Zadeh H.
    IEEE Trans Med Imaging; 2003 Jul 01; 22(7):795-805. PubMed ID: 12906234
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  • 20. Adaptive denoising of event-related functional magnetic resonance imaging data using spectral subtraction.
    Kadah YM.
    IEEE Trans Biomed Eng; 2004 Nov 01; 51(11):1944-53. PubMed ID: 15536896
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