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Journal Abstract Search
237 related items for PubMed ID: 20879321
1. Accurate definition of brain regions position through the functional landmark approach. Thirion B, Varoquaux G, Poline JB. Med Image Comput Comput Assist Interv; 2010; 13(Pt 2):241-8. PubMed ID: 20879321 [Abstract] [Full Text] [Related]
2. 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; 8(Pt 2):476-83. PubMed ID: 16685994 [Abstract] [Full Text] [Related]
3. Exploratory fMRI analysis without spatial normalization. Lashkari D, Golland P. Inf Process Med Imaging; 2009; 21():398-410. PubMed ID: 19694280 [Abstract] [Full Text] [Related]
4. Extracting brain regions from rest fMRI with total-variation constrained dictionary learning. Abraham A, Dohmatob E, Thirion B, Samaras D, Varoquaux G. Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):607-15. PubMed ID: 24579191 [Abstract] [Full Text] [Related]
5. Brain functional localization: a survey of image registration techniques. Gholipour A, Kehtarnavaz N, Briggs R, Devous M, Gopinath K. IEEE Trans Med Imaging; 2007 Apr; 26(4):427-51. PubMed ID: 17427731 [Abstract] [Full Text] [Related]
6. 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 Apr; 11(Pt 1):1016-24. PubMed ID: 18979845 [Abstract] [Full Text] [Related]
7. 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; 26(9):1256-69. PubMed ID: 17896597 [Abstract] [Full Text] [Related]
8. 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 Sep; 8(Pt 1):352-9. PubMed ID: 16685865 [Abstract] [Full Text] [Related]
11. Multivariate group effect analysis in functional Magnetic Resonance Imaging. Benali H, Mattout J, Pélégrini-Issac M. Inf Process Med Imaging; 2003 Jul; 18():548-59. PubMed ID: 15344487 [Abstract] [Full Text] [Related]
12. A nonparametric bayesian approach to detecting spatial activation patterns in fMRI data. Kim S, Smyth P, Stern H. Med Image Comput Comput Assist Interv; 2006 Jul; 9(Pt 2):217-24. PubMed ID: 17354775 [Abstract] [Full Text] [Related]
13. Group-wise FMRI activation detection on corresponding cortical landmarks. Lv J, Zhu D, Hu X, Zhang X, Zhang T, Han J, Guo L, Liu T. Med Image Comput Comput Assist Interv; 2013 Jul; 16(Pt 2):665-73. PubMed ID: 24579198 [Abstract] [Full Text] [Related]
14. Detection of spatial activation patterns as unsupervised segmentation of fMRI data. Golland P, Golland Y, Malach R. Med Image Comput Comput Assist Interv; 2007 Jul; 10(Pt 1):110-8. PubMed ID: 18051050 [Abstract] [Full Text] [Related]
15. Computational anatomy with the SPM software. Ashburner J. Magn Reson Imaging; 2009 Oct; 27(8):1163-74. PubMed ID: 19249168 [Abstract] [Full Text] [Related]
16. 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]
17. Support vector clustering for brain activation detection. Wang D, Shi L, Yeung DS, Heng PA, Wong TT, Tsang EC. Med Image Comput Comput Assist Interv; 2005 Oct 15; 8(Pt 1):572-9. PubMed ID: 16685892 [Abstract] [Full Text] [Related]