Multi-modal synthesis of ASL-MRI features with KPLS regression on heterogeneous data

Lassila, T. orcid.org/0000-0001-8947-1447, Faria, H.M., Sarrami Foroushani, A. et al. (3 more authors) (2018) Multi-modal synthesis of ASL-MRI features with KPLS regression on heterogeneous data. In: Frangi, A., Schnabel, J., Davatzikos, C., Alberola-López, C. and Fichtinger, G., (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2018. 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2018), 16-20 Sep 2018, Granada, Spain. Lecture Notes in Computer Science, 11072 . Springer , pp. 473-481. ISBN 978-3-030-00930-4

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Copyright, Publisher and Additional Information: © 2018 Springer Nature Switzerland AG. This is an author produced version of a paper subsequently published in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 (LNCS 11072). Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 25 May 2018
  • Published (online): 13 September 2018
  • Published: 13 September 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7VPH DARE - 601055
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jun 2018 12:17
Last Modified: 11 Oct 2018 08:22
Published Version: https://doi.org/10.1007/978-3-030-00931-1_54
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-030-00931-1_54

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