4 papers · 1 filter
Isolating Nonlinear Independent Sources in fMRI with -TCVAE Models
Qiang Li, Shujian Yu, Jesus Malo +3
Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in neuroimaging analysis. Traditional independent component analysis, widely use…
Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
Kunyu Zhang, Qiang Li, Vince D. Calhoun +1
Resting-state functional magnetic resonance imaging (fMRI) has emerged as a cornerstone for psychiatric diagnosis, yet most approaches rely on pairwise brain cortical or sub-cortic…
Reservoir Subspace Injection for Online ICA under Top-n Whitening
Wenjun Xiao, Yuda Bi, Vince D Calhoun
Reservoir expansion can improve online independent component analysis (ICA) under nonlinear mixing, yet top- whitening may discard injected features. We formalize this bottlenec…
BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
Tianzheng Hu, Qiang Li, Shu Liu +3
The development of diagnostic models is gaining traction in the field of psychiatric disorders. Recently, machine learning classifiers based on resting-state functional magnetic re…