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eess.IV2024
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders
Qianqian Wang, Wei Wang, Yuqi Fang +3
Brain networks/graphs derived from resting-state functional MRI (fMRI) help study underlying pathophysiology of neurocognitive disorders by measuring neuronal activities in the bra…
eess.IV2024★ 1 cited
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification
Yunling Ma, Chaojun Zhang, Xiaochuan Wang +4
Major depressive disorder (MDD) is a common mental disorder that typically affects a person's mood, cognition, behavior, and physical health. Resting-state functional magnetic reso…
eess.IV2024
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI
Yuqi Fang, Junhao Zhang, Linmin Wang +2
Functional magnetic resonance imaging (fMRI) has been increasingly employed to investigate functional brain activity. Many fMRI-related software/toolboxes have been developed, prov…