Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging

Vargas-Cardona, H.D., Orozco, A.A., Alvarez, A.M. et al. (1 more author) (2018) Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Systems with Applications. ISSN 0957-4174

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in JOURNAL. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Diffusion magnetic resonance imaging; higher order tensors; interpolation probabilistic models; tensor decomposition
Dates:
  • Accepted: 3 October 2018
  • Published (online): 4 October 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/N014162/1
Depositing User: Symplectic Sheffield
Date Deposited: 09 Oct 2018 11:30
Last Modified: 09 Oct 2018 11:30
Published Version: https://doi.org/10.1016/j.eswa.2018.10.005
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.eswa.2018.10.005

Download

Accepted Version


Embargoed until: 4 October 2019

Filename: HOT_interpolation_els.pdf

Licence: CC-BY-NC-ND 4.0

Request a copy

Share / Export

Statistics