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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Format: | Thesis |
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2008
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Online Access: | https://hdl.handle.net/10356/2668 |
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author | Juan, Zhou |
author2 | Jagath C. Rajapakse |
author_facet | Jagath C. Rajapakse Juan, Zhou |
author_sort | Juan, Zhou |
collection | NTU |
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. |
first_indexed | 2024-10-01T04:56:33Z |
format | Thesis |
id | ntu-10356/2668 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T04:56:33Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Juan, Zhou Modelling the variability of brain structures, activation, and connectivity |
title | 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_short | Modelling the variability of brain structures, activation, and connectivity |
title_sort | modelling the variability of brain structures activation and connectivity |
topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
url | https://hdl.handle.net/10356/2668 |
work_keys_str_mv | AT juanzhou modellingthevariabilityofbrainstructuresactivationandconnectivity |