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In Press

Zhou, C., & Wang, Y. M. (in press). Hybrid permutation tests with applications to surface shape analysis. Statistica Sinica.

2007

Wang, Y. M., & Xia, J. (2007). Functional interactivity in fMRI using multiple seeds correlation analyses -- Novel methods and comparisons. In N. Karssemeijer & B. P. F. Lelieveldt (Eds.), Proceedings of the Twentieth International Conference on Information Processing in Medical Imaging (pp. 147-159). Berlin, Heidelberg: Springer-Verlag. [Springer Lecture Notes in Computer Science #4584].
Wang, Y. M., Xia, J., & Marden, J. (2007). Multiple correlation and multi-seed for robust inference of functional connectivity in fMRI. In Proceedings of the 2007 Fourth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 408-411). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.
Zhou, C., Park, D. C., Styner, M., & Wang, Y. M. (2007). ROI constrained statistical surface morphometry. In Proceedings of the 2007 Fourth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 1212-1215). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.

2006

Liu, H., Wang, Y. M., & Simpson, D. G. (2006). Bi-criterion clustering and selecting optimal number of clusters via agreement measure. In Proceedings of the Joint Statistical Meetings (pp. 2098-2105). Alexandria, VA: American Statistical Association.
Wang, Y. M., & Zhou, C. (2006). Integrating and classifying parametric features from fMRI data for brain function characterization. In J. M. Reinhardt & J. P. W. Pluium (Eds.), Proceedings of SPIE Medical Imaging Conference: Image Processing, 6144, 61446V1-61446V8. City?, State?: The International Society for Optical Engineering.

2005

Bansai, R., Staib, L. H., Whiteman, R., Wang, Y. M., & Peterson, B. S. (2005). ROC-based assessments of 3D cortical surface-matching algorithms. NeuroImage, 24, 150-162.
Wang, Y. M. (2005). Modeling and nonlinear analysis in fMRI via statistical learning. In L. Landini, V. Positano, & M. F. Santarelli (Eds.), Advanced image processing in magnetic resonance imaging (pp. 565-586). Boca Raton, FL: CRC Press.

2004

Wang, Y. M., & Zhang, H. (2004). Detecting image orientation based on low-level visual content. Computer Vision and Image Understanding, 93, 328-346.
Wang, Y. M., Zhang, J., Zhang, Z., & Guo, B. (2004). Directional coherence interpolation for three-dimensional gray-level images. International Journal of Image and Graphics, 4, 535-561.

2003

Wang, Y. M., Peterson, B. S., & Staib, L. H. (2003). 3D brain surface matching based on geodesics and local geometry. Computer Vision and Image Understanding, 89, 252-271.
Wang, Y. M., Shultz, R. T., Constable, R. T., & Staib, L. H. (2003). Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression. In C. Taylor & J. A. Noble (Eds.), Proceedings of the Eighteenth International Conference on Information Processing in Medical Imaging (pp. 647-659). Berlin, Heidelberg, New York: Springer-Verlag. [Springer Lecture Notes in Computer Science #2732].

2002

Zhang, J., Wang, Y., & Guo, B. (2002). Pyramidal search of maximum coherence direction for biomedical image interpolation. In K. A. Moore (Ed.), Proceedings of the Second International IEEE Symposium on Biomedical Imaging (pp. 887-890). Madison, WI: Omnipress.

2001

Wang, Y., & Zhang, H. (2001). Content-based image-orientation dectection with support vector machines. In Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) (pp. 17-23). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.
Wang, Y., Zhang, Z., & Guo, B. (2001). 3D image interpolation based on directional coherence. In L. Staib (Ed.), Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001) (pp. 195-202). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.

2000

Wang, Y., & Staib, L. H. (2000). Boundary finding with prior shape and smoothness models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 738-743.
Wang, Y., & Staib, L. H. (2000). Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Analysis, 4, 7-20.
Wang, Y., Peterson, B. S., & Staib, L. H. (2000). Shape-based 3D surface correspondence using geodesics and local geometry. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2000) (Vol. 2, pp. 644-651). Los Alamitos, CA: Institute of Electrical and Electronic Engineers. [pdf file too large to load]

1998

Wang, Y., & Staib, L. H. (1998). Boundary finding with correspondence using statistical shape models. In Proceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 338-345). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.
Wang, Y., & Staib, L. H. (1998). Elastic model based non-rigid registration incorporating statistical shape information. In W. M. Wells, A. Colchester, & S. Delp (Eds.), Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 1162-1173). Berlin, Heidelberg: Springer. [Springer Lecture Notes in Computer Science #1496].
Wang, Y., & Staib, L. H. (1998). Integrated approaches to non-rigid registration in medical images. In Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV '98) (pp. 102-108). Los Alamitos, CA: Institute of Electrical and Electronic Engineers.

Unpublished

Wang, Y. M., & Xia, J. (2007, June). Detecting brain networks based on multiple correlations. Poster presented at the Thirteenth Annual Meeting of the Organization for Human Brain Mapping, Chicago, IL, USA.
Zhou, C., & Wang, Y. M. (2007, June). Hybrid analysis of brain surface morphometry. Poster presented at the Thirteenth Annual Meeting of the Organization for Human Brain Mapping, Chicago, IL, USA.
Wang, Y. M., Shultz, R. T., Constable, R. T., & Staib, L. H. (2005, June). A unified framework for nonlinear analysis of functional fMRI data using support vector regression. Poster presented at the Eleventh Annual Meeting of the Organization for Human Brain Mapping, Toronto, Ontario, Canada.
Wang, Y. M., Zhou, C., Engles, A. S., & Miller, G. A. (2005, June). Exploratory fMRI data clustering based on temporal shape features. Poster presented at the Eleventh Annual Meeting of the Organization for Human Brain Mapping, Toronto, Ontario, Canada.
Wang, Y. M. (2004, November). Learning-based functional MRI data analysis and modeling. Poster presented at the Frontiers of BioMedical Imaging Symposium: The MRI Nobel Celebration and Future Directions, Urbana, IL, USA.

Last Updated: March 18, 2008
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