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 *

149 related articles for article (PubMed ID: 31376002)

  • 1. Automated Brain Region Segmentation for Single Cell Resolution Histological Images Based on Markov Random Field.
    Xu X; Guan Y; Gong H; Feng Z; Shi W; Li A; Ren M; Yuan J; Luo Q
    Neuroinformatics; 2020 Apr; 18(2):181-197. PubMed ID: 31376002
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
    Chen M; Yan Q; Qin M
    Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated segmentation of mouse brain images using extended MRF.
    Bae MH; Pan R; Wu T; Badea A
    Neuroimage; 2009 Jul; 46(3):717-25. PubMed ID: 19236923
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A prior feature SVM-MRF based method for mouse brain segmentation.
    Wu T; Bae MH; Zhang M; Pan R; Badea A
    Neuroimage; 2012 Feb; 59(3):2298-306. PubMed ID: 21988893
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
    Nie J; Xue Z; Liu T; Young GS; Setayesh K; Guo L; Wong ST
    Comput Med Imaging Graph; 2009 Sep; 33(6):431-41. PubMed ID: 19446435
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
    Bricq S; Collet Ch; Armspach JP
    Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cross entropy: a new solver for Markov random field modeling and applications to medical image segmentation.
    Wu J; Chung AC
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):229-37. PubMed ID: 16685850
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms.
    Yousefi S; Azmi R; Zahedi M
    Med Image Anal; 2012 May; 16(4):840-8. PubMed ID: 22377656
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Graph-based interactive three-dimensional segmentation of magnetic resonance images of brain tumors].
    Li W; Chen WF
    Nan Fang Yi Ke Da Xue Xue Bao; 2009 Jan; 29(1):140-3. PubMed ID: 19218135
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multimodal brain-tumor segmentation based on Dirichlet process mixture model with anisotropic diffusion and Markov random field prior.
    Lu Y; Jiang J; Yang W; Feng Q; Chen W
    Comput Math Methods Med; 2014; 2014():717206. PubMed ID: 25254064
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient.
    Zhou S; Chen W; Jia F; Hu Q; Xie Y; Chen M; Wu J
    Med Image Anal; 2013 Dec; 17(8):1220-35. PubMed ID: 24077483
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A segmentation model using compound Markov random fields based on a boundary model.
    Wu J; Chung AC
    IEEE Trans Image Process; 2007 Jan; 16(1):241-52. PubMed ID: 17283782
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes.
    Subbanna NK; Precup D; Collins DL; Arbel T
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):751-8. PubMed ID: 24505735
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Segmentation of multiple sclerosis lesions based on Markov random fields model for MR images].
    Li B; Chen W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Aug; 26(4):861-5. PubMed ID: 19813627
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Entropy-controlled quadratic markov measure field models for efficient image segmentation.
    Rivera M; Ocegueda O; Marroquin JL
    IEEE Trans Image Process; 2007 Dec; 16(12):3047-57. PubMed ID: 18092602
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical neonatal brain MRI segmentation using adaptive nonparametric data models and intensity-based Markov priors.
    Song Z; Awate SP; Licht DJ; Gee JC
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):883-90. PubMed ID: 18051142
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI.
    Wels M; Carneiro G; Aplas A; Huber M; Hornegger J; Comaniciu D
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):67-75. PubMed ID: 18979733
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.
    Zhang Y; Brady M; Smith S
    IEEE Trans Med Imaging; 2001 Jan; 20(1):45-57. PubMed ID: 11293691
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Similarity-based appearance-prior for fitting a subdivision mesh in gene expression images.
    Le YH; Kurkure U; Paragios N; Ju T; Carson JP; Kakadiaris IA
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 1):577-84. PubMed ID: 23285598
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hierarchical multiple Markov chain model for unsupervised texture segmentation.
    Scarpa G; Gaetano R; Haindl M; Zerubia J
    IEEE Trans Image Process; 2009 Aug; 18(8):1830-43. PubMed ID: 19447707
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.