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 *

74 related articles for article (PubMed ID: 18215847)

  • 1. Truncation artifact reduction in magnetic resonance imaging by Markov random field methods.
    Sebastiani G; Barone P
    IEEE Trans Med Imaging; 1995; 14(3):434-41. PubMed ID: 18215847
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm.
    Pereyra M; Dobigeon N; Batatia H; Tourneret JY
    IEEE Trans Image Process; 2013 Jun; 22(6):2385-97. PubMed ID: 23475357
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new method of magnetic resonance image reconstruction with short acquisition time and truncation artifact reduction.
    Barone P; Sebastiani G
    IEEE Trans Med Imaging; 1992; 11(2):250-9. PubMed ID: 18218379
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Unwrapping of MR phase images using a Markov random field model.
    Ying L; Liang ZP; Munson DC; Koetter R; Frey BJ
    IEEE Trans Med Imaging; 2006 Jan; 25(1):128-36. PubMed ID: 16398421
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quasi-Monte Carlo estimation approach for denoising MRI data based on regional statistics.
    Wong A; Mishra AK
    IEEE Trans Biomed Eng; 2011 Apr; 58(4):1076-83. PubMed ID: 20442039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Statistical inference for quantitative polymerase chain reaction using a hidden markov model: a Bayesian approach.
    Lalam N
    Stat Appl Genet Mol Biol; 2007; 6():Article10. PubMed ID: 17402916
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comments on "Data truncation artifact reduction in MR imaging using a multilayer neural network".
    Hui Y; Smith MR
    IEEE Trans Med Imaging; 1995; 14(2):409-12. PubMed ID: 18215844
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.
    Oikonomou VP; Tripoliti EE; Fotiadis DI
    IEEE Trans Inf Technol Biomed; 2010 May; 14(3):664-74. PubMed ID: 20123577
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical analysis of chemical transformation kinetics using Markov-Chain Monte Carlo methods.
    Görlitz L; Gao Z; Schmitt W
    Environ Sci Technol; 2011 May; 45(10):4429-37. PubMed ID: 21526818
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Metropolis Monte Carlo implementation of bayesian time-domain parameter estimation: application to coupling constant estimation from antiphase multiplets.
    Andrec M; Prestegard JH
    J Magn Reson; 1998 Feb; 130(2):217-32. PubMed ID: 9500892
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours.
    Martín-Fernández M; Alberola-López C
    Med Image Anal; 2005 Feb; 9(1):1-23. PubMed ID: 15581809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: a Markov chain Monte Carlo approach.
    Pouzat C; Delescluse M; Viot P; Diebolt J
    J Neurophysiol; 2004 Jun; 91(6):2910-28. PubMed ID: 14749321
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bayesian approach to modeling dynamic effective connectivity with fMRI data.
    Bhattacharya S; Ringo Ho MH; Purkayastha S
    Neuroimage; 2006 Apr; 30(3):794-812. PubMed ID: 16364661
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Wavelet-based SAR image despeckling and information extraction, using particle filter.
    Gleich D; Datcu M
    IEEE Trans Image Process; 2009 Oct; 18(10):2167-84. PubMed ID: 19473938
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Gibbs artifact reduction in magnetic resonance images based on inverse diffusion].
    Peng YY; Zhang Y; Jiang GP
    Nan Fang Yi Ke Da Xue Xue Bao; 2010 Sep; 30(9):2074-6. PubMed ID: 20855253
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.
    Jun SC; George JS; Paré-Blagoev J; Plis SM; Ranken DM; Schmidt DM; Wood CC
    Neuroimage; 2005 Oct; 28(1):84-98. PubMed ID: 16023866
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis.
    Bali N; Mohammad-Djafari A
    IEEE Trans Image Process; 2008 Feb; 17(2):217-25. PubMed ID: 18270113
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.