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Journal Abstract Search

479 related items for PubMed ID: 19505449

  • 1. An introduction to anatomical ROI-based fMRI classification analysis.
    Etzel JA, Gazzola V, Keysers C.
    Brain Res; 2009 Jul 28; 1282():114-25. PubMed ID: 19505449
    [Abstract] [Full Text] [Related]

  • 2. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
    De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E.
    Neuroimage; 2008 Oct 15; 43(1):44-58. PubMed ID: 18672070
    [Abstract] [Full Text] [Related]

  • 3. Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA.
    Zhang J, Anderson JR, Liang L, Pulapura SK, Gatewood L, Rottenberg DA, Strother SC.
    Magn Reson Imaging; 2009 Feb 15; 27(2):264-78. PubMed ID: 18849131
    [Abstract] [Full Text] [Related]

  • 4. A post-processing/region of interest (ROI) method for discriminating patterns of activity in statistical maps of fMRI data.
    McKeown MJ, Hanlon CA.
    J Neurosci Methods; 2004 May 30; 135(1-2):137-47. PubMed ID: 15020098
    [Abstract] [Full Text] [Related]

  • 5. A connectivity-based method for defining regions-of-interest in fMRI data.
    Deleus F, Van Hulle MM.
    IEEE Trans Image Process; 2009 Aug 30; 18(8):1760-71. PubMed ID: 19414287
    [Abstract] [Full Text] [Related]

  • 6. fMRI pattern classification using neuroanatomically constrained boosting.
    Martínez-Ramón M, Koltchinskii V, Heileman GL, Posse S.
    Neuroimage; 2006 Jul 01; 31(3):1129-41. PubMed ID: 16529955
    [Abstract] [Full Text] [Related]

  • 7. Cortex-based independent component analysis of fMRI time series.
    Formisano E, Esposito F, Di Salle F, Goebel R.
    Magn Reson Imaging; 2004 Dec 01; 22(10):1493-504. PubMed ID: 15707799
    [Abstract] [Full Text] [Related]

  • 8. A new approach to spatial covariance modeling of functional brain imaging data: ordinal trend analysis.
    Habeck C, Krakauer JW, Ghez C, Sackeim HA, Eidelberg D, Stern Y, Moeller JR.
    Neural Comput; 2005 Jul 01; 17(7):1602-45. PubMed ID: 15901409
    [Abstract] [Full Text] [Related]

  • 9. Voxel selection in FMRI data analysis based on sparse representation.
    Li Y, Namburi P, Yu Z, Guan C, Feng J, Gu Z.
    IEEE Trans Biomed Eng; 2009 Oct 01; 56(10):2439-51. PubMed ID: 19567340
    [Abstract] [Full Text] [Related]

  • 10. [Data processing of functional magnetic resonance of brain based on statistical parametric mapping].
    Li W, Wang H.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Apr 01; 24(2):477-80. PubMed ID: 17591287
    [Abstract] [Full Text] [Related]

  • 11. Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning.
    Formisano E, De Martino F, Valente G.
    Magn Reson Imaging; 2008 Sep 01; 26(7):921-34. PubMed ID: 18508219
    [Abstract] [Full Text] [Related]

  • 12. Real-time functional magnetic resonance imaging: methods and applications.
    Weiskopf N, Sitaram R, Josephs O, Veit R, Scharnowski F, Goebel R, Birbaumer N, Deichmann R, Mathiak K.
    Magn Reson Imaging; 2007 Jul 01; 25(6):989-1003. PubMed ID: 17451904
    [Abstract] [Full Text] [Related]

  • 13. Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis.
    Smolders A, De Martino F, Staeren N, Scheunders P, Sijbers J, Goebel R, Formisano E.
    Magn Reson Imaging; 2007 Jul 01; 25(6):860-8. PubMed ID: 17482412
    [Abstract] [Full Text] [Related]

  • 14. Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.
    Marquand A, Howard M, Brammer M, Chu C, Coen S, Mourão-Miranda J.
    Neuroimage; 2010 Feb 01; 49(3):2178-89. PubMed ID: 19879364
    [Abstract] [Full Text] [Related]

  • 15. Measuring fMRI reliability with the intra-class correlation coefficient.
    Caceres A, Hall DL, Zelaya FO, Williams SC, Mehta MA.
    Neuroimage; 2009 Apr 15; 45(3):758-68. PubMed ID: 19166942
    [Abstract] [Full Text] [Related]

  • 16. Are fMRI event-related response constant in time? A model selection answer.
    Donnet S, Lavielle M, Poline JB.
    Neuroimage; 2006 Jul 01; 31(3):1169-76. PubMed ID: 16647863
    [Abstract] [Full Text] [Related]

  • 17. Spatial characterization of FMRI activation maps using invariant 3-D moment descriptors.
    Ng B, Abugharbieh R, Huang X, McKeown MJ.
    IEEE Trans Med Imaging; 2009 Feb 01; 28(2):261-8. PubMed ID: 19188113
    [Abstract] [Full Text] [Related]

  • 18. Prediction of subjective affective state from brain activations.
    Rolls ET, Grabenhorst F, Franco L.
    J Neurophysiol; 2009 Mar 01; 101(3):1294-308. PubMed ID: 19109452
    [Abstract] [Full Text] [Related]

  • 19. fMRI activation mapping as a percentage of local excitation: consistent presurgical motor maps without threshold adjustment.
    Voyvodic JT, Petrella JR, Friedman AH.
    J Magn Reson Imaging; 2009 Apr 01; 29(4):751-9. PubMed ID: 19306363
    [Abstract] [Full Text] [Related]

  • 20. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
    Makni S, Idier J, Vincent T, Thirion B, Dehaene-Lambertz G, Ciuciu P.
    Neuroimage; 2008 Jul 01; 41(3):941-69. PubMed ID: 18439839
    [Abstract] [Full Text] [Related]

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