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Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders

BuchGebunden
136 Seiten
Englisch
Springererschienen am18.01.20171st ed. 2017
This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR106,99
BuchGebunden
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development.
Zusammenfassung
Broadens readers understanding of neurodegenerative disorders and other neuropsychiatric disorders

Demystifies the often confusing picture of multimodal neuroimaging processing with step-by-step examples

Shares essential insights into medical image informatics, from basic image processing to advanced translational model development

Includes supplementary material: sn.pub/extras
Details
ISBN/GTIN978-981-10-3532-6
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2017
Erscheinungsdatum18.01.2017
Auflage1st ed. 2017
ReiheSpringer Theses
Seiten136 Seiten
SpracheEnglisch
Gewicht362 g
IllustrationenXXV, 136 p. 35 illus., 14 illus. in color.
Artikel-Nr.41613205

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Background.- Datasets and Pre-processing.- Neurodegenerative Feature Modeling and Learning.- Neurodegenerative Pattern Analysis.- Alzheimer´s Disease Staging and Prediction.- Neuroimaging Content-Based Retrieval.- Conclusions and Future Directions.mehr

Schlagworte

Autor

Sidong Liu received his Bachelor Degree in Bioinformatics from Harbin Institute of Technology (HIT) in 2007. He then obtained a Master of Applied Science with a major in Bioinformatics in 2009, and a Master of IT with a major in Computer Science at the University of Sydney. He conducted his PhD study with a focus on medical image computing in the Biomedical and Multimedia Information Technology(BMIT) Research Group at the School of Information Technologies, the University of Sydney.

During his PhD study, supported by an Australian Postgraduate Award (APA),
Australia Alzheimer's Disease Research Foundation (AADRF) Top-up Scholarship
and Australia Sydney University Graduates Union North America (SUGUNA) Travel
Grant, he spent one year at the Surgical Planning Laboratory (SPL), Harvard Medical School, as a visiting scholar in 2014. He was awarded a PhD Degree in Dec 2015, and his PhD thesis has received the Springer Thesis Award. He is currently a postdoctoral researchfellow with School of Information Technologies, the University of Sydney. His research interests include neuroimage computing, computational neuroscience, biomedical and health informatics, machine learning and big data analytics and its applications in biomedicine.
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