Improving multi-site autism classification via site-dependence minimization and second-order functional connectivity

Kunda, M., Zhou, S., Gong, G. et al. (1 more author) (2022) Improving multi-site autism classification via site-dependence minimization and second-order functional connectivity. IEEE Transactions on Medical Imaging, 42 (1). pp. 55-65. ISSN 0278-0062

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Item Type: Article
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Keywords: Autism; Functional magnetic resonance imaging; Feature extraction; Neuroimaging; Time series analysis; Germanium; Adaptation models
Dates:
  • Published: 2 September 2022
  • Published (online): 2 September 2022
  • Accepted: 26 August 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/R014507/1
Depositing User: Symplectic Sheffield
Date Deposited: 12 Oct 2022 13:48
Last Modified: 04 Sep 2024 15:16
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tmi.2022.3203899
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