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Aiying Zhang
PhD Candidate at Tulane Univ
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Author
Publications (5)
Proceedings Article | 2 March 2020 Paper
Causal brain network in schizophrenia by a two-step Bayesian network analysis
Proceedings Volume 11318, 1131817 (2020) https://doi.org/10.1117/12.2549306
KEYWORDS: Brain, Control systems, Network security, Functional magnetic resonance imaging, Neuroimaging, Statistical analysis, Statistical modeling, Mental disorders, Independent component analysis, Systems modeling
Proceedings Article | 28 February 2020 Paper
A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm
Proceedings Volume 11317, 113170X (2020) https://doi.org/10.1117/12.2549295
KEYWORDS: Brain, Functional magnetic resonance imaging, Biological research, Neuroimaging, Edge detection, Control systems, Statistical analysis, Data modeling, Data centers, Mental disorders
SPIE Journal Paper | 11 April 2019 Open Access
Distance canonical correlation analysis with application to an imaging-genetic study
JMI, Vol. 6, Issue 02, 026501, (April 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.026501
KEYWORDS: Brain, Simulation of CCA and DLA aggregates, Neuroimaging, Canonical correlation analysis, Genetics, Functional magnetic resonance imaging, Brain imaging, Visualization, Alzheimer's disease, Neurons
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Proceedings Article | 15 March 2019 Presentation + Paper
Joint Gaussian copula model for mixed data with application to imaging epigenetics study of schizophrenia
Aiying Zhang, Vince Calhoun, Yu-Ping Wang
Proceedings Volume 10954, 109540R (2019) https://doi.org/10.1117/12.2513050
KEYWORDS: Control systems, Data modeling, Brain, Functional magnetic resonance imaging, Data integration, Visualization, Statistical analysis, Mathematical modeling, Mental disorders, Neuroimaging
Proceedings Article | 6 March 2018 Presentation + Paper
Tracking the development of brain connectivity in adolescence through a fast Bayesian integrative method
Proceedings Volume 10579, 105790O (2018) https://doi.org/10.1117/12.2292679
KEYWORDS: Brain, Functional magnetic resonance imaging, Neuroimaging, Prefrontal cortex, Biomedical engineering, Data integration, Independent component analysis, Visualization
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