Springer Theses

Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders

Authors: Liu, Sidong

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  • 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
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eBook $109.00
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  • ISBN 978-981-10-3533-3
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Hardcover $139.99
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  • ISBN 978-981-10-3532-6
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Softcover $139.99
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  • ISBN 978-981-10-9898-7
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About this book

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. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.



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About the authors


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 research fellow 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.







Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $109.00
price for Mexico
  • ISBN 978-981-10-3533-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for Mexico
  • ISBN 978-981-10-3532-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $139.99
price for Mexico
  • ISBN 978-981-10-9898-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders
Authors
Series Title
Springer Theses
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-3533-3
DOI
10.1007/978-981-10-3533-3
Hardcover ISBN
978-981-10-3532-6
Softcover ISBN
978-981-10-9898-7
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXV, 136
Number of Illustrations
21 b/w illustrations, 14 illustrations in colour
Topics