Modelling the variability of brain structures, activation, and connectivity

This thesis focus on modelling the variability of brain structures, activation, and connectivity using fuzzy templates based segmentation, fuzzy modelling and clustering with contextual constraints, and dynamic Bayesian networks, respectively.

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Bibliographic Details
Main Author:	Juan, Zhou
Other Authors:	Jagath C. Rajapakse
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	https://hdl.handle.net/10356/2668
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-26682023-03-04T00:36:11Z Modelling the variability of brain structures, activation, and connectivity Juan, Zhou Jagath C. Rajapakse School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This thesis focus on modelling the variability of brain structures, activation, and connectivity using fuzzy templates based segmentation, fuzzy modelling and clustering with contextual constraints, and dynamic Bayesian networks, respectively. DOCTOR OF PHILOSOPHY (SCE) 2008-09-17T09:07:28Z 2008-09-17T09:07:28Z 2008 2008 Thesis Juan, Z. (2008). Modelling the variability of brain structures, activation, and connectivity. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2668 10.32657/10356/2668 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Juan, Zhou Modelling the variability of brain structures, activation, and connectivity
description	This thesis focus on modelling the variability of brain structures, activation, and connectivity using fuzzy templates based segmentation, fuzzy modelling and clustering with contextual constraints, and dynamic Bayesian networks, respectively.
author2	Jagath C. Rajapakse
author_facet	Jagath C. Rajapakse Juan, Zhou
format	Theses and Dissertations
author	Juan, Zhou
author_sort	Juan, Zhou
title	Modelling the variability of brain structures, activation, and connectivity
title_short	Modelling the variability of brain structures, activation, and connectivity
title_full	Modelling the variability of brain structures, activation, and connectivity
title_fullStr	Modelling the variability of brain structures, activation, and connectivity
title_full_unstemmed	Modelling the variability of brain structures, activation, and connectivity
title_sort	modelling the variability of brain structures, activation, and connectivity
publishDate	2008
url	https://hdl.handle.net/10356/2668
_version_	1759855164753182720

Modelling the variability of brain structures, activation, and connectivity

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