Michelle Wang


  • Title: Associate Professor
  • Group: Multimodal Vascular Imaging
  • Affiliations: Computational Imaging
  • Status: Beckman Affiliate Faculty
  • Home: Statistics



  • 2015
    • M. Y. Wang, and C. E. Zwilling, Multivariate computing and robust estimating for outlier and novelty in data and imaging sciences. Advances in Bioengineering, pp. 317-336, 2015.
  • 2014
    • Xia, J.; Wang, M. Y., Particle Filtering with Sequential Parameter Learning for Nonlinear Bold FMRI Signals. Advances and Applications in Statistics 2014, 40, (1), 61-74.

    • Zhou, C.; Zwilling, C. E.; Calhoun, V. D.; Wang, M. Y., Efficient Blockwise Permutation Tests Preserving Exchangeability. International Journal of Statistics in Medical Research 2014, 3, (2), 145-152.

  • 2011
    • Vo, L. T. K.; Walther, D. B.; Kramer, A. F.; Erickson, K. I.; Boot, W. R.; Voss, M. W.; Prakash, R. S.; Lee, H.; Fabiani, M.; Gratton, G.; Simons, D. J.; Sutton, B. P.; Wang, M. Y., Predicting Individuals' Learning Success from Patterns of Pre-Learning MRI Activity. PLOS One 2011, 6, (1).

    • Wang, M. Y.; Zhou, C.; Xia, J., Statistical analysis for recovery of structure and function from brain images. In Biomedical Engineering, Trends, Researches and Technologies, Komorowska, M. A.; Olsztynska-Janus, S., Eds. InTech: 2011; pp 169-190.

  • 2010
    • Sakoglu, U.; Pearlson, G. D.; Kiehl, K. A.; Wang, Y. M.; Michael, A. M.; Calhoun, V. D., A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia. Magnetic Resonance Materials in Physics Biology and Medicine 2010, 23, (5-6), 351-366.

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

    • Xia, J.; Liang, F.; Wang, Y. M., On Clustering fMRI using Potts and Mixture Regression Models, IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, 2009; pp 4795-4798.

    • Zhou, C.; Wang, Y. M., New Blockwise Permutation Tests Preserving Exchangeability in Functional Neuroimaging, IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, 2009; pp 6977-6980.

    • Zhou, C; Wang, H.; Wang, Y. M., Efficient moments-based permutation tests, Neural Information Processing Systems (NIPS), 2009; in press.

    • Xia, J.; Liang, F.; Wang, Y. M., fmri analysis through Bayesian variable selection with a spatial prior, IEEE International Symposium on Biomedical Imaging, 2009; pp 714-717.

  • 2008
    • Zhou, C. X.; Wang, Y. M., Hybrid Permutation Test with Application to Surface Shape Analysis. Statistica Sinica 2008, 18, (4), 1553-1568.

  • 2007
    • Wang, Y. M.; Xia, J., Functional interactivity in fMRI using multiple seeds’ correlation analyses – novel methods and comparisons, Information Processing in Medical Imaging, 2007, pp. 147-159.

  • 2006
    • Liu, H.; Wang, Y. M.; Simpson, D. G., Bi-criterion clustering and selecting the optimal number of clusters via agreement measure, Joint Statistical Meetings, 2006, pp. 2098-2105.

  • 2005
    • Bansal, R.; Staib, L. H.; Whitman, R.; Wang, Y. M.; Peterson, B. S., ROC based assessments of 3D cortical surface-matching algorithms, Neuroimage, 2005, 24, (1), 150-162.

  • 2004
    • Wang, Y. M.; Zhang, H., Detecting image orientation based on low-level visual content, Computer Vision and Image Understanding, 2004, 93, (3), 328-346.

    • Wang, Y. M.; Zhang, J.; Zhang, Z.; Guo, B., Directional coherence interpolation for three-dimensional grey-level images, International Journal of Image and Graphics, 2004, 4, (4), 535-561.

  • 2003
    • Wang, Y.; Peterson, B. S.; Staib, L. H., 3D brain surface matching based on geodesics and local geometry, Computer Vision and Image Understanding, 2003, 89, (2-3), 252-271.  

  • 2000
    • Wang, Y.; Staib, L. H., Physical model based non-rigid registration incorporating statistical shape information, Medical Image Analysis, 2000, 4, (1), 7-20.

    • Wang, Y.; Staib, L. H., Boundary finding with prior shape and smoothness models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22, (7), 738-743.

The Communications Office maintains the information included in Beckman Institute's online directory listings. In order to update your directory listing, please submit the following information to directoryupdates@beckman.illinois.edu:

  • a short bio including information on your educational background and your field
  • any honors and awards you may have received
  • a description of your research (approximately 200-400 words)
  • a list of recent representative publications
  • a photo of yourself (you can submit one or we can take one for you)