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Hongzheng Guan

2 accepted papers

2025

A Graph-Based Generative Adversarial Network Model for Inferring Task-State from Resting-State Functional Connectivity Networks

ICASSP 2025accepted

Resting-state functional connectivity networks (rs-FCNs) have been most frequently used for brain network analysis in neuroscience. However, a body of evidence indicates that task-state FCNs (ts-FCNs) are better associated with individual differences in behavior than rs-FCN. Until now there have bee…

Cited by 0SourceScholar
2025

Spatio-Temporal Mapping Generative Adversarial Network for Functional Connectivity Network Reconstruction across Brain Atlases

ICASSP 2025accepted

Functional connectivity networks (FCNs), as graph-structured data derived from functional magnetic resonance imaging (fMRI), are essential for understanding how brain functions coordinate with behavior and cognition. However, the utility of these FCNs is often limited by the brain atlas, since the p…

Cited by 0SourceScholar