Brain network analysis of schizophrenia patients based on hypergraph signal processing

X Song, K Wu, L Chai - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Since high-order relationships among multiple brain regions-of-interests (ROIs) are helpful
to explore the pathogenesis of neurological diseases more deeply, hypergraph-based brain …

A tale of two connectivities: intra-and inter-subject functional connectivity jointly enable better prediction of social abilities

H Xie, E Redcay - Frontiers in Neuroscience, 2022 - frontiersin.org
Naturalistic functional magnetic resonance imaging (fMRI) paradigms, such as movie
viewing, are attracting increased attention, given their ability to mimic the real-world …

Graph signal smoothness based feature learning of brain functional networks in schizophrenia

X Song, L Chai - IEEE Transactions on Neural Systems and …, 2023 - ieeexplore.ieee.org
In this paper we study the brain functional network of schizophrenic patients based on
resting-state fMRI data. Different from the region of interest (ROI)-level brain networks that …

Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks

Y Li, X Shang, Y Zhang - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
This paper proposes a representation learning model for identifying learning disability in
resting-state fMRI, with the potential to enhance our understanding of the human brain. The …

[Retracted] The Value of Nuclear Magnetic Resonance in Liver Nodular Lesions

S Chen, JL Bao - Contrast Media & Molecular Imaging, 2022 - Wiley Online Library
In order to analyze the value of contrast‐enhanced ultrasound (CEUS) combined with
functional magnetic resonance imaging (fMRI) in the early differential diagnosis of liver …