activity
20092025
most citedDeveloping Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

12 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

eess.IV2025

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Yanxi Chen, Mohammad Farazi, Zhangsihao Yang +5

Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the world. As one of the main biomarkers in the AD diagnosis procedure, brain amyloid p…

cs.CV2025

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN

Yanxi Chen, Yi Su, Celine Dumitrascu +6

Cross-modality translation between MRI and PET imaging is challenging due to the distinct mechanisms underlying these modalities. Blood-based biomarkers (BBBMs) are revolutionizing…

physics.med-ph2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry

Jianfeng Wu, Yi Su, Yanxi Chen +7

Background: Alzheimer's Disease (AD) is the most common type of age-related dementia, affecting 6.2 million people aged 65 or older according to CDC data. It is commonly agreed tha…

physics.med-ph2022

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…

physics.med-ph2021

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…

eess.IV2021

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding

J. Zhang, Q. Dong, J. Shi +9

Hyperbolic geometry has been successfully applied in modeling brain cortical and subcortical surfaces with general topological structures. However such approaches, similar to other…