12 citations · 12 across the 4 of their papers we have counts for
4 papers
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding
Jianfeng Wu, Yi Su, Wenhui Zhu +7
Background: Beta-amyloid (A) plaques and tau protein tangles in the brain are the defining 'A' and 'T' hallmarks of Alzheimer's disease (AD), and together with structural atroph…
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
Jianfeng Wu, Wenhui Zhu, Yi Su +7
Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD) may be the key to prevention breakthroughs. One of the hallmarks of AD is the accumulation of tau plaques…
Cortical Morphometry Analysis based on Worst Transportation Theory
Min Zhang, Dongsheng An, Na Lei +5
Biomarkers play an important role in early detection and intervention in Alzheimer's disease (AD). However, obtaining effective biomarkers for AD is still a big challenge. In this…
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Gang Wang, Qunxi Dong, Jianfeng Wu +11
Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure alterations captured by structural magnetic resonance imaging (sMRI). It supports the v…