Publications (8)
A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease
Jingwen Zhang, Defu Yang, Wei He +2
Currently, many studies of Alzheimer's disease (AD) are investigating the neurobiological factors behind the acquisition of beta-amyloid (A), pathologic tau (T), and neurodegenerat…
Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease
Enze Xu, Jingwen Zhang, Jiadi Li +4
Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder characterized by beta-amyloid, pathologic tau, and neurodegeneration. There are no effective…
Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
Mingyang Chen, Luhong Jin, Xuwei Xuan +3
Live-cell imaging of multiple subcellular structures is essential for understanding subcellular dynamics. However, the conventional multi-color sequential fluorescence microscopy s…
Learning Common Harmonic Waves on Stiefel Manifold -- A New Mathematical Approach for Brain Network Analyses
Jiazhou Chen, Guoqiang Han, Hongmin Cai +5
Converging evidence shows that disease-relevant brain alterations do not appear in random brain locations, instead, its spatial pattern follows large scale brain networks. In this…
Tau-BNO: Brain Neural Operator for Tau Transport Model
Nuutti Barron, Heng Rao, Urmi Saha +6
Mechanistic modeling provides a biophysically grounded framework for studying the spread of pathological tau protein in tauopathies like Alzheimer's disease. Existing approaches ty…
Chemical Environment Adaptive Learning for Optical Band Gap Prediction of Doped Graphitic Carbon Nitride Nanosheets
Chen Chen, Enze Xu, Defu Yang +5
This study presents a novel Machine Learning Algorithm, named Chemical Environment Graph Neural Network (ChemGNN), designed to accelerate materials property prediction and advance…
Analyzing the Spatiotemporal Interaction and Propagation of ATN Biomarkers in Alzheimer's Disease using Longitudinal Neuroimaging Data
Qing Liu, Defu Yang, Jingwen Zhang +3
Three major biomarkers: beta-amyloid (A), pathologic tau (T), and neurodegeneration (N), are recognized as valid proxies for neuropathologic changes of Alzheimer's disease. While t…
Uncovering the System Vulnerability and Criticality of Human Brain under Dynamical Neuropathological Events in Alzheimer's Disease
Jingwen Zhang, Qing Liu, Haorui Zhang +5
Background: Despite the striking efforts in investigating neurobiological factors behind the acquisition of amyloid-\b{eta} (A), protein tau (T), and neurodegeneration ([N]) biomar…