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Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

Crossref DOI link: https://doi.org/10.1016/j.media.2018.03.013

Published Print: 2018-07

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Jie, Biao https://orcid.org/0000-0002-3722-4935
Liu, Mingxia

Shen, Dinggang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61573023)

National Natural Science Foundation of China (61703301)

National Natural Science Foundation of China (61602072)

NIH (EB006733)

NIH (EB008374)

NIH (EB022880)

NIH (AG041721)

NIH (AG042599)

Higher Education of Anhui (gxyqZD2017010)

Higher Education of Anhui (2016XJJ120)

National Institute on Aging
License Information

Text and Data Mining valid from 2018-07-01

Text and Data Mining valid from 2018-07-01

Accepted Manuscript valid from 2019-05-31
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This article is maintained by: Elsevier

Article Title: Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

Journal Title: Medical Image Analysis

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.media.2018.03.013

Content Type: article

Copyright: © 2018 Elsevier B.V. All rights reserved.