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Journal Abstract Search

368 related items for PubMed ID: 22614649

  • 1. Generative Bayesian image super resolution with natural image prior.
    Zhang H, Zhang Y, Li H, Huang TS.
    IEEE Trans Image Process; 2012 Sep; 21(9):4054-67. PubMed ID: 22614649
    [Abstract] [Full Text] [Related]

  • 2. Posterior-mean super-resolution with a causal Gaussian Markov random field prior.
    Katsuki T, Torii A, Inoue M.
    IEEE Trans Image Process; 2012 Jul; 21(7):3182-93. PubMed ID: 22389146
    [Abstract] [Full Text] [Related]

  • 3. Turbo segmentation of textured images.
    Lehmann F.
    IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):16-29. PubMed ID: 21088316
    [Abstract] [Full Text] [Related]

  • 4. Superresolution with compound Markov random fields via the variational EM algorithm.
    Kanemura A, Maeda S, Ishii S.
    Neural Netw; 2009 Sep; 22(7):1025-34. PubMed ID: 19157777
    [Abstract] [Full Text] [Related]

  • 5. Variational bayesian super resolution.
    Babacan SD, Molina R, Katsaggelos AK.
    IEEE Trans Image Process; 2011 Apr; 20(4):984-99. PubMed ID: 20876021
    [Abstract] [Full Text] [Related]

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  • 7. Single image super-resolution with non-local means and steering kernel regression.
    Zhang K, Gao X, Tao D, Li X.
    IEEE Trans Image Process; 2012 Nov; 21(11):4544-56. PubMed ID: 22829403
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  • 9. New learning based super-resolution: use of DWT and IGMRF prior.
    Gajjar PP, Joshi MV.
    IEEE Trans Image Process; 2010 May; 19(5):1201-13. PubMed ID: 20106738
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  • 11. Abrupt motion tracking via intensively adaptive Markov-chain Monte Carlo sampling.
    Zhou X, Lu Y, Lu J, Zhou J.
    IEEE Trans Image Process; 2012 Feb; 21(2):789-801. PubMed ID: 21937350
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  • 14. Group-representative functional network estimation from multi-subject fMRI data via MRF-based image segmentation.
    Tang B, Iyer A, Rao V, Kong N.
    Comput Methods Programs Biomed; 2019 Oct; 179():104976. PubMed ID: 31443856
    [Abstract] [Full Text] [Related]

  • 15. Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data.
    Higdon DM, Bowsher JE, Johnson VE, Turkington TG, Gilland DR, Jaszczak RJ.
    IEEE Trans Med Imaging; 1997 Oct; 16(5):516-26. PubMed ID: 9368107
    [Abstract] [Full Text] [Related]

  • 16. Bayesian approach to segmentation of statistical parametric maps.
    Rajapakse JC, Piyaratna J.
    IEEE Trans Biomed Eng; 2001 Oct; 48(10):1186-94. PubMed ID: 11585043
    [Abstract] [Full Text] [Related]

  • 17. Bayesian technique for image classifying registration.
    Hachama M, Desolneux A, Richard FJ.
    IEEE Trans Image Process; 2012 Sep; 21(9):4080-91. PubMed ID: 22645269
    [Abstract] [Full Text] [Related]

  • 18. Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach.
    Awate SP, Garg S, Jena R.
    Med Image Anal; 2019 Jul; 55():181-196. PubMed ID: 31085445
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  • 20. Bayesian estimation for optimized structured illumination microscopy.
    Orieux F, Sepulveda E, Loriette V, Dubertret B, Olivo-Marin JC.
    IEEE Trans Image Process; 2012 Feb; 21(2):601-14. PubMed ID: 21788190
    [Abstract] [Full Text] [Related]

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