Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer’s Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning

Predicting cognitive performance of subjects from their magnetic resonance imaging (MRI) measures and identifying relevant imaging biomarkers are important research topics in the study of Alzheimer’s disease (AD). Traditionally, this task is performed by formulating a linear regression problem. Rece...

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Hauptverfasser: Wan, Jing, Zhang, Zhilin, Rao, Bhaskar D., Fang, Shiaofen, Yan, Jingwen, Saykin, Andrew J., Shen, Li
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4113117/
https://ncbi.nlm.nih.gov/pubmed/24710828
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2014.2314712
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