31 citations · 34 across the 5 of their papers we have counts for
7 papers
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis
Jun Yu, Zhaoming Kong, Liang Zhan +2
The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) associated with brain changes remains a challenging task. Recent studies have demonstrated that combi…
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis
Houliang Zhou, Lifang He, Yu Zhang +2
Identification of brain regions related to the specific neurological disorders are of great importance for biomarker and diagnostic studies. In this paper, we propose an interpreta…
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun +22
Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms a…
Functional Connectome Fingerprint Gradients in Young Adults
Uttara Tipnis, Kausar Abbas, Elizabeth Tran +4
The assessment of brain fingerprints has emerged in the recent years as an important tool to study individual differences and to infer quality of neuroimaging datasets. Studies so…
Grouping effects of sparse CCA models in variable selection
Kefei Liu, Qi Long, Li Shen
The sparse canonical correlation analysis (SCCA) is a bi-multivariate association model that finds sparse linear combinations of two sets of variables that are maximally correlated…
Cognitive Biomarker Prioritization in Alzheimer's Disease using Brain Morphometric Data
Bo Peng, Xiaohui Yao, Shannon L. Risacher +3
Background:Cognitive assessments represent the most common clinical routine for the diagnosis of Alzheimer's Disease (AD). Given a large number of cognitive assessment tools and ti…