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 *

269 related articles for article (PubMed ID: 18291917)

  • 1. A multiscale random field model for Bayesian image segmentation.
    Bouman CA; Shapiro M
    IEEE Trans Image Process; 1994; 3(2):162-77. PubMed ID: 18291917
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A tree-structured Markov random field model for Bayesian image segmentation.
    D'Elia C; Poggi G; Scarpa G
    IEEE Trans Image Process; 2003; 12(10):1259-73. PubMed ID: 18237891
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unsupervised vector image segmentation by a tree structure-ICM algorithm.
    Fwu JK; Djuric PM
    IEEE Trans Med Imaging; 1996; 15(6):871-80. PubMed ID: 18215966
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ML parameter estimation for Markov random fields with applications to Bayesian tomography.
    Saquib SS; Bouman CA; Sauer K
    IEEE Trans Image Process; 1998; 7(7):1029-44. PubMed ID: 18276318
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discrete Markov image modeling and inference on the quadtree.
    Laferté JM; Pérez P; Heitz F
    IEEE Trans Image Process; 2000; 9(3):390-404. PubMed ID: 18255411
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sonar image segmentation using an unsupervised hierarchical MRF model.
    Mignotte M; Collet C; Perez P; Bouthemy P
    IEEE Trans Image Process; 2000; 9(7):1216-31. PubMed ID: 18262959
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian decision feedback for segmentation of binary images.
    Kadaba SR; Gelfand SB; Kashyap RL
    IEEE Trans Image Process; 1996; 5(7):1163-78. PubMed ID: 18285204
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Document ink bleed-through removal with two hidden Markov random fields and a single observation field.
    Wolf C
    IEEE Trans Pattern Anal Mach Intell; 2010 Mar; 32(3):431-47. PubMed ID: 20075470
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical approach to segmentation of single-channel cerebral MR images.
    Rajapakse JC; Giedd JN; Rapoport JL
    IEEE Trans Med Imaging; 1997 Apr; 16(2):176-86. PubMed ID: 9101327
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The application of mean field theory to image motion estimation.
    Zhang J; Hanauer GG
    IEEE Trans Image Process; 1995; 4(1):19-33. PubMed ID: 18289956
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pixon-based image segmentation with Markov random fields.
    Yang F; Jiang T
    IEEE Trans Image Process; 2003; 12(12):1552-9. PubMed ID: 18244710
    [TBL] [Abstract][Full Text] [Related]  

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

  • 14. A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics.
    Kervrann C; Heitz F
    IEEE Trans Image Process; 1995; 4(6):856-62. PubMed ID: 18290037
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Image segmentation by MAP-ML estimations.
    Chen S; Cao L; Wang Y; Liu J; Tang X
    IEEE Trans Image Process; 2010 Sep; 19(9):2254-64. PubMed ID: 20363679
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bayesian framework for image segmentation with spatially varying mixtures.
    Nikou C; Likas AC; Galatsanos NP
    IEEE Trans Image Process; 2010 Sep; 19(9):2278-89. PubMed ID: 20378472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A label field fusion bayesian model and its penalized maximum rand estimator for image segmentation.
    Mignotte M
    IEEE Trans Image Process; 2010 Jun; 19(6):1610-24. PubMed ID: 20227982
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [A new unsupervised algorithm for image segmentation based on an inhomogeneous Markov random field model].
    Li B; Chen WF
    Nan Fang Yi Ke Da Xue Xue Bao; 2007 Nov; 27(11):1646-8. PubMed ID: 18024280
    [TBL] [Abstract][Full Text] [Related]  

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

  • 20. Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle.
    Figueiredo MT; Leitao JN
    IEEE Trans Image Process; 1997; 6(8):1089-102. PubMed ID: 18282999
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.