Guorong Wu

Orcid: 0000-0003-4918-3955

Affiliations:
  • Southwest University, Key Laboratory of Cognition and Personality, Chongqing, China
  • Ghent University, Faculty of Psychology and Educational Sciences, Department of Data Analysis, Belgium (former)
  • University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China (former)


According to our database1, Guorong Wu authored at least 16 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Unraveling how the adolescent brain deals with criticism using dynamic causal modeling.
NeuroImage, February, 2024

2021
rsHRF: A toolbox for resting-state HRF estimation and deconvolution.
NeuroImage, 2021

2019
Endless Fluctuations: Temporal Dynamics of the Amplitude of Low Frequency Fluctuations.
IEEE Trans. Medical Imaging, 2019

Modulation of the spontaneous hemodynamic response function across levels of consciousness.
NeuroImage, 2019

2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.
IEEE Trans. Biomed. Eng., 2016

2015
Statistical approaches for resting state fMRI data analysis.
PhD thesis, 2015

Handedness- and Brain Size-Related Efficiency Differences in Small-World Brain Networks: A Resting-State Functional Magnetic Resonance Imaging Study.
Brain Connect., 2015

Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
<i>DynamicBC</i>: A MATLAB Toolbox for Dynamic Brain Connectome Analysis.
Brain Connect., 2014

2013
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.
Medical Image Anal., 2013

Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality.
Brain Connect., 2013

Feature Selection via Sparse Regression for Classification of Functional Brain Networks.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012
Information flow in a network model and the law of diminishing marginal returns
CoRR, 2012

Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Expanding the transfer entropy to identify information subgraphs in complex systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Multiscale Causal Connectivity Analysis by Canonical Correlation: Theory and Application to Epileptic Brain.
IEEE Trans. Biomed. Eng., 2011


  Loading...