Yongmei Michelle Wang

Assistant Professor

Departments of Statistics, Psychology, and Bioengineering
Beckman Institute

University of Illinois at Urbana-Champaign

Ph.D. in Electrical Engineering, Yale University.

[ INTERESTS || BACKGROUND || TEACHING || PUBLICATIONS || CONTACT ]

 


Research Interests  ( Back to Home Page )

  • Statistical inference and geometrical modeling for biomedical imaging and computation;
  • Structural and functional neuroimage analysis and measurement;
  • Analysis and modeling of fMRI time series;
  • Multi-modal integration of biomedical imaging data.


Background  ( Back to Home Page )

          Image Processing and Analysis Group,
          Yale University. (1995 - 1999)


Teaching Experience  ( Back to Home Page )

  • Assistant Professor, University of Illinois at Urbana-Champaign:
    - "Image and Neuroimage Analysis" (Spring 2007)
    - "Introduction to Statistics" (Fall 2007, Spring 2008)
    - "Statistics and Probability" (Fall 2007, Spring 2006, Fall 2004)
    - "Topics in Image Analysis" (Fall 2005)
    - "Matlab and Image Processing with Matlab" (Spring 2005)
  • Assistant Professor, The Chinese University of Hong Kong:
    - "Image and Video Processing" (Spring 2001 & Fall 2001)
    - "Signals and Systems" (Spring 2002)
    - "General Education" (Spring 2002)
  • Teaching Assistant, Yale University:
    - "Digital Information Age" (1994 - 1996)


Selected Publications  ( Back to Home Page )

Invited Book Chapter:

  • Y. M. Wang, "Modeling and nonlinear analysis in fMRI via statistical learning," in Advanced Image Processing in Magnetic Resonance Imaging, Marcel Dekker International Publisher, editors: L. Landini, V. Positano, and M.F. Santarelli, pp. 565-586, 2005.

Peer-Reviewed Publications:

  • C. Zhou and Y. M. Wang, "Hybrid permutation test with application to surface shape analysis," Statistica Sinica, in press, 2008.
  • 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), pp. 147-159, abbey Rolduc in Kerkrade, Netherlands, July 2007.
  • C. Zhou, D. C. Park, M. Styner and Y. M. Wang, "ROI constrained statistical surface morphometry," IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1212-1215, Washington D.C., USA, April 2007. (pdf)
  • Y. M. Wang, J. Xia and J. Marden, "Multiple correlation and multi-seed for robust inference of functional connectivity in fMRI," IEEE International Symposium on Biomedical Imaging (ISBI), pp. 408-411, Washington D.C., USA, April 2007.
  • R. Bansal, L. H. Staib, R. Whitman, Y. M. Wang and B. S. Peterson, "ROC based assessments of 3D cortical surface-matching algorithms," NeuroImage, vol. 24, no. 1, pp. 150-162, 2005. (pdf)
  • Y. M. Wang and H. Zhang, "Detecting image orientation based on low-level visual content," Computer Vision and Image Understanding (CVIU), vol. 93, no. 3, pp. 328-346, 2004. (pdf)
  • Y. M. Wang, J. Zhang, Z. Zhang and B. Guo, "Directional coherence interpolation for three-dimensional grey-level images," International Journal of Image and Graphics (IJIG), vol. 4, no. 4, pp. 535-561, 2004. (pdf)
  • Y. M. Wang, R. T. Schultz, R. T. Constable and L. H. Staib, "Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression," Information Processing in Medical Imaging (IPMI'03), pp. 647 - 659, Ambleside, UK, July 2003. (pdf)
  • Y. Wang, B. S. Peterson and L. H. Staib, "3D brain surface matching based on geodesics and local geometry," Computer Vision and Image Understanding (CVIU), vol. 89, no. 2-3, pp. 252-271, 2003. (pdf)
  • J. Zhang, Y. Wang and B. Guo, "Pyramidal search of maximum coherence direction for biomedical image interpolation," IEEE International Symposium on Biomedical Imaging (ISBI'02), pp. 887-890, Washington D.C., USA, July 2002. (pdf)
  • Y. Wang and H. Zhang, "Content-based image orientation detection with support vector machines," IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'01), pp. 17-23, Kauai, Hawaii, USA, December 2001. (pdf)
  • Y. Wang, Z. Zhang and B. Guo, "3D image interpolation based on directional coherence," IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01), pp. 195-202, Kauai, Hawaii, USA, December 2001. (pdf)
  • Y. Wang and L. H. Staib, "Physical model-based non-rigid registration incorporating statistical shape information," Medical Image Analysis (MedIA), vol. 4, no. 1, pp. 7-20, 2000. (pdf) (gzipped pdf)
  • Y. Wang and L. H. Staib, "Boundary finding with prior shape and smoothness models," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 22, no. 7, pp. 738-743, 2000. (pdf)
  • Y. Wang, B. S. Peterson and L. H. Staib, "Shape-based 3D surface correspondence using geodesics and local geometry," IEEE Conference on Computer Vision and Pattern Recognition (CVPR'00), pp. 644-651 (Vol. II), Hilton Head Island, SC, USA, June 2000. (pdf)
  • Y. Wang and L. H. Staib, "Integrated approaches to non-rigid registration in medical images," IEEE Workshop on Applications of Computer Vision (WACV'98), pp. 102-108, Princeton, NJ, USA, October 1998.
  • Y. Wang and L. H. Staib, "Elastic model based non-rigid registration incorporating statistical shape information," Medical Image Computing and Computer-Assisted Intervention (MICCAI'98), pp. 1162-1173, Cambridge, MA, USA, October 1998. (pdf) (postscript)
  • Y. Wang and L. H. Staib, "Boundary finding with correspondence using statistical shape models," IEEE Conference on Computer Vision and Pattern Recognition (CVPR'98), pp. 338-345, Santa Barbara, CA, USA, June 1998. (pdf) (postscript)

Editor/Chair Reviewed Conference Papers:

  • H. Liu, Y. M. Wang and D. G. Simpsion, "Bi-criterion clustering and selecting optimal number of clusters via agreement measure," Joint Statistical Meetings, pp. 2098 - 2105, Seattle, August 2006.
  • Y. M. Wang and C. Zhou, "Integrating and classifying parametric features from fMRI data for brain function characterization," SPIE Medical Imaging, vol. 6144(6V), pp. 1 - 8, San Diego, CA, USA, February 2006.

Abstracts:

  • C. Zhou, and Y. M. Wang, "Hybrid analysis of brain surface morphometry," Human Brain Mapping (HBM'07), Chicago, IL, USA, June 2007.
  • Y. M. Wang, and J. Xia, "Detecting brain networks based on multiple correlations," Human Brain Mapping (HBM'07), Chicago, IL, USA, June 2007.
  • Y. M. Wang, C. Zhou, A. S. Engels and G. A. Miller, "Exploratory fMRI data clustering based on temporal shape features," Human Brain Mapping (HBM'05), Toronto, Canada, June 2005.
  • Y. M. Wang, R. T. Schultz, R. T. Constable and L. H. Staib, "A unified framework for nonlinear analysis of functional MRI data using support vector regression," Human Brain Mapping (HBM'03), New York, NY, USA, June 2003.

Patent:

  • Y. Wang, and H. Zhang, "Automatic image orientation detection based on classification of low-level image features," US Patent 6915025, July 5, 2005.

Thesis:

  • Y. Wang, Statistical Shape Analysis for Image Segmentation and Physical Model-Based Non-Rigid Registration, Doctoral dissertation in Electrical Engineering, Yale University, May 1999.


Mailing Address & Contact Information  ( Back to Home Page )

 

Y. Michelle Wang
101 Illini Hall, MC-374
725 South Wright Street
University of Illinois at Urbana-Champaign
Champaign, IL 61820
Tel: (217) 244-2694 (Statistics)
Fax: (217) 244-7190 (Attn.: Michelle Wang)
E-mail: ymw AT illinois DOT edu

OR:
Y. Michelle Wang
427 Psychology Building, MC-716
603 East Daniel Street
University of Illinois at Urbana-Champaign
Champaign, IL 61820
Tel: (217) 333-3325 (Psychology), OR: (217) 244-1735 (Beckman)
Fax: (217) 244-5876 (Attn.: Michelle Wang)
E-mail: ymw AT illinois DOT edu