Improving multi-site autism classification based on site-dependence minimisation and second-order functional connectivity

Kunda, M., Zhou, S. orcid.org/0000-0002-8069-2814, Gong, G. et al. (1 more author) (Submitted: 2020) Improving multi-site autism classification based on site-dependence minimisation and second-order functional connectivity. bioRxiv. (Submitted)

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Author(s). Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: data heterogeneity; site dependence; domain adaptation; functional connectivity; resting-state fMRI; autism spectrum disorder
Dates:
  • Submitted: 2 February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Mar 2020 10:29
Last Modified: 17 Mar 2020 10:29
Status: Submitted
Publisher: Cold Spring Harbor Laboratory
Identification Number: https://doi.org/10.1101/2020.02.01.930073

Download

Share / Export

Statistics