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 *

272 related articles for article (PubMed ID: 20426084)

  • 1. 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]  

  • 2. Spatially adaptive mixture modeling for analysis of FMRI time series.
    Vincent T; Risser L; Ciuciu P
    IEEE Trans Med Imaging; 2010 Apr; 29(4):1059-74. PubMed ID: 20350840
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data.
    James GA; Hazaroglu O; Bush KA
    Magn Reson Imaging; 2016 Feb; 34(2):209-18. PubMed ID: 26523655
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Group-wise parcellation of the cortex through multi-scale spectral clustering.
    Parisot S; Arslan S; Passerat-Palmbach J; Wells WM; Rueckert D
    Neuroimage; 2016 Aug; 136():68-83. PubMed ID: 27192437
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hemodynamic-informed parcellation of fMRI data in a joint detection estimation framework.
    Chaari L; Forbes F; Vincent T; Ciuciu P
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):180-8. PubMed ID: 23286129
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian analysis of fMRI data with ICA based spatial prior.
    Bathula DR; Tagare HD; Staib LH; Papademetris X; Schultz RT; Duncan JS
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):246-54. PubMed ID: 18982612
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Model-free fMRI group analysis using FENICA.
    Schöpf V; Windischberger C; Robinson S; Kasess CH; Fischmeister FP; Lanzenberger R; Albrecht J; Kleemann AM; Kopietz R; Wiesmann M; Moser E
    Neuroimage; 2011 Mar; 55(1):185-93. PubMed ID: 21078400
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SACICA: a sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis.
    Wang N; Zeng W; Chen L
    J Neurosci Methods; 2013 May; 216(1):49-61. PubMed ID: 23563324
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.
    Wu GR; Liao W; Stramaglia S; Ding JR; Chen H; Marinazzo D
    Med Image Anal; 2013 Apr; 17(3):365-74. PubMed ID: 23422254
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Separating 4D multi-task fMRI data of multiple subjects by independent component analysis with projection.
    Long Z; Li R; Wen X; Jin Z; Chen K; Yao L
    Magn Reson Imaging; 2013 Jan; 31(1):60-74. PubMed ID: 22898701
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pattern classification of fMRI data: applications for analysis of spatially distributed cortical networks.
    Yourganov G; Schmah T; Churchill NW; Berman MG; Grady CL; Strother SC
    Neuroimage; 2014 Aug; 96():117-32. PubMed ID: 24705202
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering.
    Chen H; Li K; Zhu D; Zhang T; Jin C; Guo L; Li L; Liu T
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):297-304. PubMed ID: 23286143
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validating the performance of one-time decomposition for fMRI analysis using ICA with automatic target generation process.
    Yao S; Zeng W; Wang N; Chen L
    Magn Reson Imaging; 2013 Jul; 31(6):970-5. PubMed ID: 23587929
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Regional homogeneity and anatomical parcellation for fMRI image classification: application to schizophrenia and normal controls.
    Shi F; Liu Y; Jiang T; Zhou Y; Zhu W; Jiang J; Liu H; Liu Z
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):136-43. PubMed ID: 18044562
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Activation detection in functional MRI using model-free technique based on CCA-ICA analysis.
    El-Shabrawy N; Mohamed AS; Youssef AB; Kadah YM
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3430-3. PubMed ID: 18002734
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.