The basic idea of the proposed method is to estimate the relevance between different subjects that reflects how likely two subjects belong to the same category ...
We apply our proposed method on a cohort of 41 consecutive MCI subjects and 63 age-and-gender matched controls with four MRI sequences. Our method achieves at ...
Nov 20, 2015 · We apply our proposed method on a cohort of 41 consecutive MCI subjects and 63 age-and-gender matched controls with four MRI sequences. Our ...
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Multiple hypergraphs are firstly constructed independently based on different visual modalities to describe the hidden {high-order} relations from different ...
Nov 14, 2018 · Bibliographic details on MCI Identification by Joint Learning on Multiple MRI Data.
Jul 19, 2023 · The identification of Alzheimer's disease (AD) using structural magnetic resonance imaging (sMRI) has been studied based on the subtle ...
Aug 4, 2020 · Recent studies have shown great promise for improving the performance of MCI classification by combining multiple structural and functional ...
Sep 29, 2022 · The purpose of our study is to identify multimodal imaging-driven subtypes in Mild Cognitive Impairment (MCI) participants using a multiview ...
We explore and demonstrates the feasibility and benefits of jointly training with databases with heterogeneous sets of MRI modalities and types of brain lesions ...
We evaluate our model on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The experimental results show that our proposed model can effectively ...