Encoding the Neurodegenerative Features

Various feature descriptors have been proposed to model the disease pathologies. Chapter 2, Sect.  2.2 reviews the common morphological, functional and learning-based features. These features are capable of capturing many important changes in the brain, s

  • PDF / 5,949,729 Bytes
  • 153 Pages / 453.543 x 683.15 pts Page_size
  • 68 Downloads / 229 Views

DOWNLOAD

REPORT


Sidong Liu

Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders

Springer Theses Recognizing Outstanding Ph.D. Research

Aims and Scope The series “Springer Theses” brings together a selection of the very best Ph.D. theses from around the world and across the physical sciences. Nominated and endorsed by two recognized specialists, each published volume has been selected for its scientific excellence and the high impact of its contents for the pertinent field of research. For greater accessibility to non-specialists, the published versions include an extended introduction, as well as a foreword by the student’s supervisor explaining the special relevance of the work for the field. As a whole, the series will provide a valuable resource both for newcomers to the research fields described, and for other scientists seeking detailed background information on special questions. Finally, it provides an accredited documentation of the valuable contributions made by today’s younger generation of scientists.

Theses are accepted into the series by invited nomination only and must fulfill all of the following criteria • They must be written in good English. • The topic should fall within the confines of Chemistry, Physics, Earth Sciences, Engineering and related interdisciplinary fields such as Materials, Nanoscience, Chemical Engineering, Complex Systems and Biophysics. • The work reported in the thesis must represent a significant scientific advance. • If the thesis includes previously published material, permission to reproduce this must be gained from the respective copyright holder. • They must have been examined and passed during the 12 months prior to nomination. • Each thesis should include a foreword by the supervisor outlining the significance of its content. • The theses should have a clearly defined structure including an introduction accessible to scientists not expert in that particular field.

More information about this series at http://www.springer.com/series/8790

Sidong Liu

Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders Doctoral Thesis accepted by the University of Sydney, Sydney, Australia

123

Author Dr. Sidong Liu School of Information Technologies The University of Sydney Sydney, NSW Australia

ISSN 2190-5053 Springer Theses ISBN 978-981-10-3532-6 DOI 10.1007/978-981-10-3533-3

Supervisor A/Prof. Weidong (Tom) Cai School of Information Technologies The University of Sydney Sydney, NSW Australia

ISSN 2190-5061

(electronic)

ISBN 978-981-10-3533-3

(eBook)

Library of Congress Control Number: 2016963189 © Springer Nature Singapore Pte Ltd. 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by