Model-based computed tomography image estimation: partitioning approach

DOI10.1080/02664763.2019.1606169OpenAlexW2926806981WikidataQ128038512 ScholiaQ128038512MaRDI QIDQ5036939

Fekadu L. Bayisa, Jun Yu

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.03799

zbMATH Keywords

computed tomographymagnetic resonance imagingGaussian mixture modelCT image estimationskew-Gaussian mixture model

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Multivariate mixture modeling using skew-normal independent distributions
• A general class of scale-shape mixtures of skew-normal distributions: properties and estimation
• On the multivariate skew-normal-Cauchy distribution
• Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution
• Scale and shape mixtures of multivariate skew-normal distributions
• Scale mixtures of skew-normal-Cauchy distributions
• Eigenvalues of rank-one updated matrices with some applications
• Maximum likelihood estimation for multivariate skew normal mixture models
• On fundamental skew distributions
• Maximum likelihood estimation via the ECM algorithm: A general framework
• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
• The multivariate skew-normal distribution
• Likelihood-Based Inference for Multivariate Skew-Normal Regression Models
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