Statistical and Computational Methods in Brain Image Analysis

Statistical and Computational Methods in Brain Image Analysis

Chung, Moo K.

Taylor & Francis Ltd

10/2024

432

Mole

9781032919959

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Introduction to Brain and Medical Images. Bernoulli Models for Binary Images. General Linear Models. Gaussian Kernel Smoothing. Random Fields Theory. Anisotropic Kernel Smoothing. Multivariate General Linear Models. Cortical Surface Analysis. Heat Kernel Smoothing on Surfaces. Cosine Series Representation of 3D Curves. Weighted Spherical Harmonic Representation. Multivariate Surface Shape Analysis. Laplace-Beltrami Eigenfunctions for Surface Data. Persistent Homology. Sparse Networks. Sparse Shape Models. Modeling Structural Brain Networks. Mixed Effects Models. Bibliography. Index.
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Persistent Homology;Displacement Vector;heat;Gaussian Kernel Smoothing;kernel;Spherical Harmonic Representation;gaussian;Gaussian Mixture Model;random;Kernel Smoothing;field;Laplace Beltrami Operator;spherical;Gaussian Kernel;harmonic;Autistic Subjects;laplace;Cortical Thickness;beltrami;Outer Cortical Surface;operator;Total Gray Matter Volume;Cumulative Distribution Function;Cortical Surface;Spherical Harmonic;Rips Complex;Gibbs Phenomenon;Point Cloud Data;MGLM;Euler Characteristic;Cortical Thickness Analysis;Hotelling's T-square;Adjacency Matrix;Quantile Points;Univariate General Linear Model