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 *

146 related articles for article (PubMed ID: 26336124)

  • 1. Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images.
    Zanetti M; Bovolo F; Bruzzone L
    IEEE Trans Image Process; 2015 Dec; 24(12):5004-16. PubMed ID: 26336124
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images.
    Bruzzone L; Prieto DF
    IEEE Trans Image Process; 2002; 11(4):452-66. PubMed ID: 18244646
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integration of Gibbs Markov random field and Hopfield-type neural networks for unsupervised change detection in remotely sensed multitemporal images.
    Ghosh A; Subudhi BN; Bruzzone L
    IEEE Trans Image Process; 2013 Aug; 22(8):3087-96. PubMed ID: 23715521
    [TBL] [Abstract][Full Text] [Related]  

  • 4. On the Expectation-Maximization Algorithm for Rice-Rayleigh Mixtures With Application to Noise Parameter Estimation in Magnitude MR Datasets.
    Maitra R
    Sankhya B (2008); 2013 Nov; 75(2):293-318. PubMed ID: 29757335
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A context-sensitive technique robust to registration noise for change detection in VHR multispectral images.
    Marchesi S; Bovolo F; Bruzzone L
    IEEE Trans Image Process; 2010 Jul; 19(7):1877-89. PubMed ID: 20215070
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Rayleigh mixture model for plaque characterization in intravascular ultrasound.
    Seabra JC; Ciompi F; Pujol O; Mauri J; Radeva P; Sanches J
    IEEE Trans Biomed Eng; 2011 May; 58(5):1314-24. PubMed ID: 21245004
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation.
    Caillol H; Pieczynski W; Hillion A
    IEEE Trans Image Process; 1997; 6(3):425-40. PubMed ID: 18282938
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Attraction-repulsion expectation-maximization algorithm for image reconstruction and sensor field estimation.
    Hong H; Schonfeld D
    IEEE Trans Image Process; 2009 Sep; 18(9):2004-11. PubMed ID: 19502130
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An innovative multimodal/multispectral image registration method for medical images based on the Expectation-Maximization algorithm.
    Arce-Santana E; Campos-Delgado DU; Mejia-Rodriguez A; Reducindo I
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5223-6. PubMed ID: 26737469
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
    Zhang J; Modestino JW; Langan DA
    IEEE Trans Image Process; 1994; 3(4):404-20. PubMed ID: 18291939
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hybrid genetic and variational expectation-maximization algorithm for gaussian-mixture-model-based brain MR image segmentation.
    Tian G; Xia Y; Zhang Y; Feng D
    IEEE Trans Inf Technol Biomed; 2011 May; 15(3):373-80. PubMed ID: 21233052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.
    Taghia J; Ma Z; Leijon A
    IEEE Trans Pattern Anal Mach Intell; 2014 Sep; 36(9):1701-15. PubMed ID: 26352226
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust Student's-t mixture model with spatial constraints and its application in medical image segmentation.
    Nguyen TM; Wu QM
    IEEE Trans Med Imaging; 2012 Jan; 31(1):103-16. PubMed ID: 21859612
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Performance evaluation of finite normal mixture model-based image segmentation techniques.
    Lei T; Udupa JK
    IEEE Trans Image Process; 2003; 12(10):1153-69. PubMed ID: 18237884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators.
    Covões TF; Hruschka ER; Ghosh J
    Evol Comput; 2016; 24(2):293-317. PubMed ID: 25950390
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors.
    Rabbani H; Vafadust M; Abolmaesumi P; Gazor S
    IEEE Trans Biomed Eng; 2008 Sep; 55(9):2152-60. PubMed ID: 18713684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust parameter estimation of intensity distributions for brain magnetic resonance images.
    Schroeter P; Vesin JM; Langenberger T; Meuli R
    IEEE Trans Med Imaging; 1998 Apr; 17(2):172-86. PubMed ID: 9688150
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Segmentation and intensity estimation of microarray images using a gamma-t mixture model.
    Baek J; Son YS; McLachlan GJ
    Bioinformatics; 2007 Feb; 23(4):458-65. PubMed ID: 17166856
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Retinal image registration via feature-guided Gaussian mixture model.
    Liu C; Ma J; Ma Y; Huang J
    J Opt Soc Am A Opt Image Sci Vis; 2016 Jul; 33(7):1267-76. PubMed ID: 27409682
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.