High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis

High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis

Multimodal heterogeneous data, such as structural magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF), are effective in improving the performance of automated dementia diagnosis by providing complementary information on degenerated brain disorders, suc...

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Bibliographic Details
Main Authors: Aimei Dong, Zhigang Li, Mingliang Wang, Dinggang Shen, Mingxia Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Neuroscience
Subjects:
high-order
low-rank representation
dementia
classification
incomplete heterogeneous data
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.634124/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.634124/full

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