67 citations · 72 across the 9 of their papers we have counts for
11 papers
BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
Yunlong Gao, Jinbo Yang, Li Xiao +5
Functional magnetic resonance imaging (fMRI) enables noninvasive investigation of brain function, while short clinical scan durations, arising from human and non-human factors, usu…
DDS-UDA: Dual-Domain Synergy for Unsupervised Domain Adaptation in Joint Segmentation of Optic Disc and Optic Cup
Yusong Xiao, Yuxuan Wu, Li Xiao +3
Convolutional neural networks (CNNs) have achieved exciting performance in joint segmentation of optic disc and optic cup on single-institution datasets. However, their clinical tr…
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
Gang Qu, Anton Orlichenko, Junqi Wang +5
Functional connectivity (FC) as derived from fMRI has emerged as a pivotal tool in elucidating the intricacies of various psychiatric disorders and delineating the neural pathways…
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Gang Qu, Li Xiao, Wenxing Hu +3
Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral and cognitive traits based on brain connectivity net…
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model
Gemeng Zhang, Aiying Zhang, Biao Cai +3
Functional connectivity (FC) has been widely used to study brain network interactions underlying the emerging cognition and behavior of an individual. FC is usually defined as the…
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Li Xiao, Biao Cai, Gang Qu +4
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of…
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning
Biao Cai, Gemeng Zhang, Aiying Zhang +6
The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the con…
Causal inference of brain connectivity from fMRI with -Learning Incorporated Linear non-Gaussian Acyclic Model (-LiNGAM)
Aiying Zhang, Gemeng Zhang, Biao Cai +6
Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce c…
Causality based Feature Fusion for Brain Neuro-Developmental Analysis
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang +4
Human brain development is a complex and dynamic process that is affected by several factors such as genetics, sex hormones, and environmental changes. A number of recent studies o…
Brain Maturation Study during Adolescence Using Graph Laplacian Learning Based Fourier Transform
Junqi Wang, Li Xiao, Tony W. Wilson +3
Objective: Longitudinal neuroimaging studies have demonstrated that adolescence is the crucial developmental epoch of continued brain growth and change. A large number of researche…
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction
Li Xiao, Julia M. Stephen, Tony W. Wilson +2
To explain individual differences in development, behavior, and cognition, most previous studies focused on projecting resting-state functional MRI (fMRI) based functional connecti…