View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data

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• 作者：Mingxia Liu^a ; ^{mxliu1226@gmail.com} ; Jun Zhang^a ; Pew-Thian Yap^a ; Dinggang Shen ; ^a ; ^b ; ^{dgshen@med.unc.edu}
• 关键词：Multi-modality ; Incomplete data ; Alzheimer&rsquo ; s disease ; Classification
• 刊名：Medical Image Analysis
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：36
• 期：Complete
• 页码：123-134
• 全文大小：1339 K
• 卷排序：36

文摘

We developed a new hypergraph learning model to capture the coherence among views. We proposed a sparse representation based hypergraph construction method. We designed a multi-view label fusion method for making classification decisions.