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 *

152 related articles for article (PubMed ID: 19694280)

  • 1. Exploratory fMRI analysis without spatial normalization.
    Lashkari D; Golland P
    Inf Process Med Imaging; 2009; 21():398-410. PubMed ID: 19694280
    [TBL] [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
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 9(Pt 2):217-24. PubMed ID: 17354775
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 11(Pt 1):1016-24. PubMed ID: 18979845
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of spatial activation patterns as unsupervised segmentation of fMRI data.
    Golland P; Golland Y; Malach R
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):110-8. PubMed ID: 18051050
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parcellation of fMRI datasets with ICA and PLS--a data driven approach.
    Ji Y; Hervé PY; Aickelin U; Pitiot A
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):984-91. PubMed ID: 20426084
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 43(1):44-58. PubMed ID: 18672070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Resting-state FMRI single subject cortical parcellation based on region growing.
    Blumensath T; Behrens TE; Smith SM
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):188-95. PubMed ID: 23286048
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of fMRI time series in a low-dimensional subspace with a spatial prior.
    Meyer FG; Shen X
    IEEE Trans Med Imaging; 2008 Jan; 27(1):87-98. PubMed ID: 18270065
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simultaneous registration and segmentation of anatomical structures from brain MRI.
    Wang F; Vemuri BC
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):17-25. PubMed ID: 16685824
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Boost up the detection sensitivity of ASL perfusion fMRI through support vector machine.
    Wang Z; Childress AR; Detre JA
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1006-9. PubMed ID: 17946435
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimization of fMRI-derived ROIs based on coherent functional interaction patterns.
    Deng F; Zhu D; Liu T
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):214-22. PubMed ID: 23286133
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of event-related fMRI data using best clustering bases.
    Meyer FG; Chinrungrueng J
    Inf Process Med Imaging; 2003 Jul; 18():623-34. PubMed ID: 15344493
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A SVM-based quantitative fMRI method for resting-state functional network detection.
    Song X; Chen NK
    Magn Reson Imaging; 2014 Sep; 32(7):819-31. PubMed ID: 24928301
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bayesian mixture approach to modeling spatial activation patterns in multisite fMRI data.
    Kim S; Smyth P; Stern H
    IEEE Trans Med Imaging; 2010 Jun; 29(6):1260-74. PubMed ID: 20304727
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bayesian hierarchical framework for spatial modeling of fMRI data.
    DuBois Bowman F; Caffo B; Bassett SS; Kilts C
    Neuroimage; 2008 Jan; 39(1):146-56. PubMed ID: 17936016
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian joint detection-estimation of cerebral vasoreactivity from ASL fMRI data.
    Vincent T; Warnking J; Villien M; Krainik A; Ciuciu P; Forbes F
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):616-24. PubMed ID: 24579192
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.