Multimodal Neuroimaging Computing For The Characterization Of Neurodegenerative Disorders by Sidong LiuMultimodal Neuroimaging Computing For The Characterization Of Neurodegenerative Disorders by Sidong Liu

Multimodal Neuroimaging Computing For The Characterization Of Neurodegenerative Disorders

bySidong Liu

Hardcover | January 18, 2017

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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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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 compu...
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Title:Multimodal Neuroimaging Computing For The Characterization Of Neurodegenerative DisordersFormat:HardcoverDimensions:136 pagesPublished:January 18, 2017Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811035326

ISBN - 13:9789811035326

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Table of Contents


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.