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Yu-Teng Chang, Ph.D.

Affiliations: 
Electrical Engineering University of Southern California, Los Angeles, CA, United States 
Area:
MEG, EEG, PET, Optical Imaging, image Analysis
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"Yu-Teng Chang"
Mean distance: 16.75 (cluster 29)
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Richard M. Leahy grad student 2012 USC
 (Network structures: Graph theory, statistics, and neuroscience applications.)

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Publications

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Chang YT, Pantazis D, Leahy RM. (2014) To cut or not to cut? Assessing the modular structure of brain networks. Neuroimage. 91: 99-108
Chang YT, Leahy RM, Pantazis D. (2013) Parametric distributions for assessing significance in modular partitions of brain networks Proceedings - International Symposium On Biomedical Imaging. 612-615
Yang Y, Raine A, Joshi AA, et al. (2012) Frontal information flow and connectivity in psychopathy. The British Journal of Psychiatry : the Journal of Mental Science. 201: 408-9
Chang YT, Leahy RM, Pantazis D. (2012) Modularity-based graph partitioning using conditional expected models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 016109
Chang YT, Pantazis D, Leahy RM. (2012) Of the largest eigenvalue for modularity-based partitioning 2012 Ieee Statistical Signal Processing Workshop, Ssp 2012. 125-128
Chang YT, Pantazis D, Leahy RM. (2012) Assessing statistical significance when partitioning large-scale brain networks Proceedings - International Symposium On Biomedical Imaging. 1759-1762
Chang YT, Pantazis D, Leahy RM. (2011) Partitioning directed graphs based on modularity and information flow Proceedings - International Symposium On Biomedical Imaging. 1105-1108
Chang YT, Pantazis D, Hui HB, et al. (2010) Statistically optimal graph partition method based on modularity 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1193-1196
Chang YT, Pantazis D, Leahy RM. (2010) Statistically optimal modular partitioning of directed graphs Conference Record - Asilomar Conference On Signals, Systems and Computers. 1075-1079
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