Modeling Alzheimer's disease progression via amalgamated magnitude-direction brain structure variation quantification and tensor multi-task learning

Zhang, Y., Lanfranchi, V., Wang, X. et al. (2 more authors) (2023) Modeling Alzheimer's disease progression via amalgamated magnitude-direction brain structure variation quantification and tensor multi-task learning. In: 2022 IEEE International Conference on Bioinformatics and Biomedicine. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2022), 06-08 Dec 2022, Las Vegas, NV, USA. Institute of Electrical and Electronics Engineers (IEEE) , pp. 2735-2742. ISBN 9781665468206

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Keywords: Alzheimer's disease progression; amalgamated magnitude-direction quantification; brain structure variation; tensor multi-task learning
Dates:
  • Accepted: 1 November 2022
  • Published (online): 2 January 2023
  • Published: 2 January 2023
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: 23 Nov 2022 13:20
Last Modified: 02 Jan 2024 01:13
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/BIBM55620.2022.9995468
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