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 *

162 related articles for article (PubMed ID: 20580117)

  • 1. A Bayesian multilevel model for fMRI data analysis.
    Ferreira da Silva AR
    Comput Methods Programs Biomed; 2011 Jun; 102(3):238-52. PubMed ID: 20580117
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.
    de Pasquale F; Del Gratta C; Romani GL
    Neuroimage; 2008 Aug; 42(1):99-111. PubMed ID: 18538586
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.
    Oikonomou VP; Tripoliti EE; Fotiadis DI
    IEEE Trans Inf Technol Biomed; 2010 May; 14(3):664-74. PubMed ID: 20123577
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classical and Bayesian inference in neuroimaging: applications.
    Friston KJ; Glaser DE; Henson RN; Kiebel S; Phillips C; Ashburner J
    Neuroimage; 2002 Jun; 16(2):484-512. PubMed ID: 12030833
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian fMRI data analysis with sparse spatial basis function priors.
    Flandin G; Penny WD
    Neuroimage; 2007 Feb; 34(3):1108-25. PubMed ID: 17157034
    [TBL] [Abstract][Full Text] [Related]  

  • 6. fMRI data analysis with nonstationary noise models: a Bayesian approach.
    Luo H; Puthusserypady S
    IEEE Trans Biomed Eng; 2007 Sep; 54(9):1621-30. PubMed ID: 17867354
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 41(3):941-69. PubMed ID: 18439839
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multilevel linear modelling for FMRI group analysis using Bayesian inference.
    Woolrich MW; Behrens TE; Beckmann CF; Jenkinson M; Smith SM
    Neuroimage; 2004 Apr; 21(4):1732-47. PubMed ID: 15050594
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classical and Bayesian inference in neuroimaging: theory.
    Friston KJ; Penny W; Phillips C; Kiebel S; Hinton G; Ashburner J
    Neuroimage; 2002 Jun; 16(2):465-83. PubMed ID: 12030832
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian spatiotemporal model of fMRI data.
    Quirós A; Diez RM; Gamerman D
    Neuroimage; 2010 Jan; 49(1):442-56. PubMed ID: 19646535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatio-temporal fMRI analysis using Markov random fields.
    Descombes X; Kruggel F; von Cramon DY
    IEEE Trans Med Imaging; 1998 Dec; 17(6):1028-39. PubMed ID: 10048860
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatio-temporal analysis of auditory cortex activation as detected with silent event related fMRI.
    Christensen WF; Yetkin FZ
    Stat Med; 2005 Aug; 24(16):2539-56. PubMed ID: 15909287
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian spatiotemporal model of fMRI data using transfer functions.
    Quirós A; Diez RM; Wilson SP
    Neuroimage; 2010 Sep; 52(3):995-1004. PubMed ID: 20056161
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fully Bayesian spatio-temporal modeling of FMRI data.
    Woolrich MW; Jenkinson M; Brady JM; Smith SM
    IEEE Trans Med Imaging; 2004 Feb; 23(2):213-31. PubMed ID: 14964566
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian fMRI time series analysis with spatial priors.
    Penny WD; Trujillo-Barreto NJ; Friston KJ
    Neuroimage; 2005 Jan; 24(2):350-62. PubMed ID: 15627578
    [TBL] [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; 43(1):44-58. PubMed ID: 18672070
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessing brain activity through spatial Bayesian variable selection.
    Smith M; Pütz B; Auer D; Fahrmeir L
    Neuroimage; 2003 Oct; 20(2):802-15. PubMed ID: 14568453
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
    Yoshioka T; Toyama K; Kawato M; Yamashita O; Nishina S; Yamagishi N; Sato MA
    Neuroimage; 2008 Oct; 42(4):1397-413. PubMed ID: 18620066
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies.
    Lin FH; McIntosh AR; Agnew JA; Eden GF; Zeffiro TA; Belliveau JW
    Neuroimage; 2003 Oct; 20(2):625-42. PubMed ID: 14568440
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.