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Neuroimage
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July 26, 2020
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI
Zhongxing Zhou, Biao Cai, Gemeng Zhang, et al.
IEEE Transactions on Bio-Medical Engineering
|
November 13, 2018
Capturing Dynamic Connectivity from Resting State fMRI using Time-Varying Graphical Lasso
Biao Cai, Gemeng Zhang, Aiying Zhang, et al.
Arxiv
|
February 5, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
Gang Qu, Anton Orlichenko, Junqi Wang, et al.
IEEE Transactions on Medical Imaging
|
July 23, 2019
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model
Gemeng Zhang, Biao Cai, Aiying Zhang, et al.
Network Neuroscience (Cambridge, Mass.)
|
October 2, 2024
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Aiying Zhang, Gemeng Zhang, Biao Cai, et al.
IEEE Transactions on Medical Imaging
|
April 29, 2020
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, et al.
Journal of Neuroscience Methods
|
December 13, 2019
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity
Biao Cai, Gemeng Zhang, Aiying Zhang, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 26, 2020
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study
Yipu Zhang, Li Xiao, Gemeng Zhang, et al.
IEEE Transactions on Bio-Medical Engineering
|
March 22, 2022
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Li Xiao, Biao Cai, Gang Qu, et al.
IEEE Transactions on Bio-Medical Engineering
|
April 4, 2023
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko, Gang Qu, Gemeng Zhang, et al.
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Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Neuroimage
|
July 26, 2020
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI
Zhongxing Zhou, Biao Cai, Gemeng Zhang, et al.
IEEE Transactions on Bio-Medical Engineering
|
November 13, 2018
Capturing Dynamic Connectivity from Resting State fMRI using Time-Varying Graphical Lasso
Biao Cai, Gemeng Zhang, Aiying Zhang, et al.
Arxiv
|
February 5, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
Gang Qu, Anton Orlichenko, Junqi Wang, et al.
IEEE Transactions on Medical Imaging
|
July 23, 2019
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model
Gemeng Zhang, Biao Cai, Aiying Zhang, et al.
Network Neuroscience (Cambridge, Mass.)
|
October 2, 2024
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Aiying Zhang, Gemeng Zhang, Biao Cai, et al.
IEEE Transactions on Medical Imaging
|
April 29, 2020
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, et al.
Journal of Neuroscience Methods
|
December 13, 2019
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity
Biao Cai, Gemeng Zhang, Aiying Zhang, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 26, 2020
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study
Yipu Zhang, Li Xiao, Gemeng Zhang, et al.
IEEE Transactions on Bio-Medical Engineering
|
March 22, 2022
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Li Xiao, Biao Cai, Gang Qu, et al.
IEEE Transactions on Bio-Medical Engineering
|
April 4, 2023
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko, Gang Qu, Gemeng Zhang, et al.
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of 2