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postgraduate thesis: A new hierarchical Bayesian approach to low-field magnetic resonance imaging

TitleA new hierarchical Bayesian approach to low-field magnetic resonance imaging
Authors
Advisors
Advisor(s):Shen, GGYang, ES
Issue Date2001
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Woo, B. [胡寶琦]. (2001). A new hierarchical Bayesian approach to low-field magnetic resonance imaging. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122691
DegreeMaster of Philosophy
SubjectBayesian statistical decision theory.
Magnetic resonance imaging.
Image analysis - Statistical methods.
Dept/ProgramElectrical and Electronic Engineering

 

DC FieldValueLanguage
dc.contributor.advisorShen, GG-
dc.contributor.advisorYang, ES-
dc.contributor.authorWoo, Bo-kei.-
dc.contributor.author胡寶琦.-
dc.date.issued2001-
dc.identifier.citationWoo, B. [胡寶琦]. (2001). A new hierarchical Bayesian approach to low-field magnetic resonance imaging. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122691-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.source.urihttp://hub.hku.hk/bib/B31226917-
dc.subject.lcshBayesian statistical decision theory.-
dc.subject.lcshMagnetic resonance imaging.-
dc.subject.lcshImage analysis - Statistical methods.-
dc.titleA new hierarchical Bayesian approach to low-field magnetic resonance imaging-
dc.typePG_Thesis-
dc.identifier.hkulb3122691-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineElectrical and Electronic Engineering-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_b3122691-
dc.date.hkucongregation2002-

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