Bayesian models for medical image biology using Monte Carlo Markov chains techniques

DOI10.1016/J.MCM.2005.09.005zbMath1080.62018OpenAlexW2046571733MaRDI QIDQ815402

S. Zimeras, F. Gerogiakodis

Publication date: 16 February 2006

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2005.09.005

zbMATH Keywords

mean field approximationhierarchical model selection

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biomedical imaging and signal processing (92C55) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (1)

Bayesian models for medical image biology using Monte Carlo Markov chains techniques

Cites Work

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• Bayesian models for medical image biology using Monte Carlo Markov chains techniques
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Global and local priors, and the location of lesions using gamma-camera imagery
• Inhomogeneous Prior Models for Image Reconstruction
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications

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