Aug. 8, 2022, 1:12 a.m. | Angelica I. Aviles-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb

cs.CV updates on arXiv.org arxiv.org

The automatic early diagnosis of prodromal stages of Alzheimer's disease is
of great relevance for patient treatment to improve quality of life. We address
this problem as a multi-modal classification task. Multi-modal data provides
richer and complementary information. However, existing techniques only
consider either lower order relations between the data and single/multi-modal
imaging data. In this work, we introduce a novel semi-supervised hypergraph
learning framework for Alzheimer's disease diagnosis. Our framework allows for
higher-order relations among multi-modal imaging and non-imaging …

arxiv classification diffusion hypergraph lg network prior

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