Segmenting magnetic resonance images via hierarchical mixture modelling
type: Item
instance of: scholarly article
title: Segmenting magnetic resonance images via hierarchical mixture modelling
zbMATH Open document ID: 1431.62505
author: Michael I. Miller
author: J. T. Ratnanather
author: Carey E. Priebe
published in: Computational Statistics and Data Analysis
publication date: 2008-12-11T00:00:00Z
full work available at URL: pmc2868201
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 5381586
zbMATH Keywords: automated cortical analysis
zbMATH Keywords: magnetic resonance imagery
zbMATH Keywords: mixture model
zbMATH Keywords: classification
zbMATH Keywords: segmentation
Wikidata QID: Q40495585
MaRDI profile type: Publication
OpenAlex ID: W2134674187
cites work: A new look at the statistical model identification
cites work: Penalized minimum‐distance estimates in finite mixture models
cites work: The estimation of the order of a mixture model
cites work: Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
cites work: Q4881152
cites work: Bayesian Density Estimation and Inference Using Mixtures
cites work: Q3918886
cites work: Calibration and empirical Bayes variable selection
cites work: On estimating the number of constituents of a finite mixture of continuous distributions
cites work: Consistent estimation of mixture complexity.
cites work: Consistent estimation of the order of mixture models.
cites work: Extremes and related properties of random sequences and processes
cites work: Filtered kernel density estimation
cites work: Q4692755
cites work: Q4353852
cites work: Finite mixture models
cites work: Alternating kernel and mixture density estimates.
cites work: Modeling by shortest data description
cites work: Practical Bayesian Density Estimation Using Mixtures of Normals
cites work: 2D vector-cycle deformable templates.
cites work: Statistical analysis of finite mixture distributions
DOI: 10.1016/J.CSDA.2004.09.003
description: scientific article; zbMATH DE number 5381586