Research Description

Structural and functional neuroimage analysis and measurement; Statistical inference, modeling, and learning for biomedical imaging and computation with applications to neuroscience; Analysis and modeling of fMRI time series; Multi-modal integration of neuroimaging data.

Education

• Ph.D. from Yale University

Webpages

• Personal Website

Courses

• Image and Neuroimage Analysis
• Statistics and Probability
• Topics in Image Analysis
• Introduction to Statistics
• Image Processing with Matlab

Recent Publications

Y. M. Wang and J. Xia, “Unified framework for robust estimation of brain networks from fMRI using temporal and spatial correlation analyses,” IEEE Transactions on Medical Imaging (TMI), 28(8): 1296-1307, 2009.

L. T. K. Vo, D. B. Walther, A. F. Kramer, K. I. Erickson, W. R. Boot, M. W. Voss, R. S. Prakash, H. Lee, M. Fabiani, G. Gratton, D. J. Simons, B. P. Sutton, and M. Y. Wang, “Predicting individuals’ learning success from patterns of pre-learning MRI,” PLoS ONE, 6(1), e16093, 2011.

C. Zhou and Y. M. Wang, "Hybrid permutation test with application to surface shape analysis," Statistica Sinica, 18(4): 1553-1568, 2008.

U. Sakoglu, G. D. Pearlson, K. A. Keihl, Y. M. Wang, A. M. Michael, and V. D. Calhoun, “A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia,” Magnetic Resonance Materials in Physics, Biology, and Medicine, 23: 351-366, 2010.

Y. M. Wang and J. Xia, "Functional interactivity in fMRI using multiple seeds' correlation analyses - novel methods and comparisons," Information Processing in Medical Imaging (IPMI), LNCS, 4584: 147-159, 2007.