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Journal Abstract Search

412 related items for PubMed ID: 26048619

  • 1. Inversion of hierarchical Bayesian models using Gaussian processes.
    Lomakina EI, Paliwal S, Diaconescu AO, Brodersen KH, Aponte EA, Buhmann JM, Stephan KE.
    Neuroimage; 2015 Sep; 118():133-45. PubMed ID: 26048619
    [Abstract] [Full Text] [Related]

  • 2. Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE).
    Yao Y, Raman SS, Schiek M, Leff A, Frässle S, Stephan KE.
    Neuroimage; 2018 Oct 01; 179():604-619. PubMed ID: 29964187
    [Abstract] [Full Text] [Related]

  • 3. Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.
    Sidén P, Eklund A, Bolin D, Villani M.
    Neuroimage; 2017 Feb 01; 146():211-225. PubMed ID: 27876654
    [Abstract] [Full Text] [Related]

  • 4. A hierarchical model for integrating unsupervised generative embedding and empirical Bayes.
    Raman S, Deserno L, Schlagenhauf F, Stephan KE.
    J Neurosci Methods; 2016 Aug 30; 269():6-20. PubMed ID: 27141854
    [Abstract] [Full Text] [Related]

  • 5. Time series analysis of fMRI data: Spatial modelling and Bayesian computation.
    Teng M, Johnson TD, Nathoo FS.
    Stat Med; 2018 Aug 15; 37(18):2753-2770. PubMed ID: 29717508
    [Abstract] [Full Text] [Related]

  • 6. mpdcm: A toolbox for massively parallel dynamic causal modeling.
    Aponte EA, Raman S, Sengupta B, Penny WD, Stephan KE, Heinzle J.
    J Neurosci Methods; 2016 Jan 15; 257():7-16. PubMed ID: 26384541
    [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 01; 41(3):941-69. PubMed ID: 18439839
    [Abstract] [Full Text] [Related]

  • 8. Regression DCM for fMRI.
    Frässle S, Lomakina EI, Razi A, Friston KJ, Buhmann JM, Stephan KE.
    Neuroimage; 2017 Jul 15; 155():406-421. PubMed ID: 28259780
    [Abstract] [Full Text] [Related]

  • 9. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.
    de Pasquale F, Del Gratta C, Romani GL.
    Neuroimage; 2008 Aug 01; 42(1):99-111. PubMed ID: 18538586
    [Abstract] [Full Text] [Related]

  • 10. Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.
    Nummenmaa A, Auranen T, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Sams M, Vehtari A.
    Neuroimage; 2007 Apr 01; 35(2):669-85. PubMed ID: 17300961
    [Abstract] [Full Text] [Related]

  • 11. A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data.
    Chen S, Bowman FD, Mayberg HS.
    Biometrics; 2016 Jun 01; 72(2):596-605. PubMed ID: 26501687
    [Abstract] [Full Text] [Related]

  • 12. Classical and Bayesian inference in neuroimaging: applications.
    Friston KJ, Glaser DE, Henson RN, Kiebel S, Phillips C, Ashburner J.
    Neuroimage; 2002 Jun 01; 16(2):484-512. PubMed ID: 12030833
    [Abstract] [Full Text] [Related]

  • 13. Test-retest reliability of dynamic causal modeling for fMRI.
    Frässle S, Stephan KE, Friston KJ, Steup M, Krach S, Paulus FM, Jansen A.
    Neuroimage; 2015 Aug 15; 117():56-66. PubMed ID: 26004501
    [Abstract] [Full Text] [Related]

  • 14. Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model.
    Yamaguchi K, Okada K.
    Psychometrika; 2020 Dec 15; 85(4):973-995. PubMed ID: 33420895
    [Abstract] [Full Text] [Related]

  • 15. A spectral sampling algorithm in dynamic causal modelling for resting-state fMRI.
    Xie Y, Zhang P, Zhao J.
    Hum Brain Mapp; 2023 Jun 01; 44(8):2981-2992. PubMed ID: 36929686
    [Abstract] [Full Text] [Related]

  • 16. Bayesian spatiotemporal model of fMRI data using transfer functions.
    Quirós A, Diez RM, Wilson SP.
    Neuroimage; 2010 Sep 01; 52(3):995-1004. PubMed ID: 20056161
    [Abstract] [Full Text] [Related]

  • 17. Bayesian decoding of brain images.
    Friston K, Chu C, Mourão-Miranda J, Hulme O, Rees G, Penny W, Ashburner J.
    Neuroimage; 2008 Jan 01; 39(1):181-205. PubMed ID: 17919928
    [Abstract] [Full Text] [Related]

  • 18. Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging.
    Nathoo FS, Lesperance ML, Lawson AB, Dean CB.
    Stat Methods Med Res; 2013 Aug 01; 22(4):398-423. PubMed ID: 22642986
    [Abstract] [Full Text] [Related]

  • 19. Bayesian fusion and multimodal DCM for EEG and fMRI.
    Wei H, Jafarian A, Zeidman P, Litvak V, Razi A, Hu D, Friston KJ.
    Neuroimage; 2020 May 01; 211():116595. PubMed ID: 32027965
    [Abstract] [Full Text] [Related]

  • 20. Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data.
    Røge RE, Madsen KH, Schmidt MN, Mørup M.
    Neural Comput; 2017 Oct 01; 29(10):2712-2741. PubMed ID: 28777721
    [Abstract] [Full Text] [Related]

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