James C. Gee

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Associate Professor of Radiologic Science in Radiology
Director, Penn Image Computing and Science Laboratory, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Co-Director, Translational Biomedical Imaging Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Director, HHMI-NIBIB Interfaces Program in Biomedical Imaging and Informational Sciences, University of Pennsylvania, Philadelphia, PA
Director, Chinese Academy of Sciences - University of Pennsylvania Center of Excellence in Brain Mapping, University of Pennsylvania, Philadelphia, PA
Department: Radiology

Contact information
3600 Market St. Suite 370
Philadelphia, PA 19104-2644
Office: 215-662-7109
Fax: 215-615-3681
B.S. (Computer Science)
University of Washington, 1987.
B.S. (Electrical Engineering)
University of Washington, 1987.
M.S. (Electrical Engineering)
University of Washington, 1989.
Ph.D. (Computer and Information Science)
University of Pennsylvania, 1996.
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Description of Itmat Expertise

Dr. Gee's major area of interest is biomedical image analysis and computing, with active research in all of the quantitative methods represented, including segmentation, registration, morphometry and shape statistics, as applied to a variety of organ systems and all of the major and emerging modalities in biological/biomaterials imaging and in vivo medical imaging.

Selected Publications

Kandel, B.M., Wang, D.J.J., Detre, J.A., Gee, J.C., Avants, B.B.: Decomposing Cerebral Blood Flow MRI into Functional and Structural Components: A Non-Local Approach Based on Prediction. NeuroImage. Academic Press Inc. 105: 156-170, Jan 2015.

Yoder, J.H.a , Peloquin, J.M.b , Song, G.c , Tustison, N.J.d , Moon, S.M.c , Wright, A.C.c , Vresilovic, E.J.e , Gee, J.C.c , Elliott, D.M.: Internal three-dimensional strains in human intervertebral discs under axial compression quantified noninvasively by magnetic resonance imaging and image registration. Journal of Biomechanical Engineering 136(111008), Nov 2014.

Kumar, M., Duda, J.T., Hwang, W.T., Kenworthy, C., Ittyerah, R., Pickup, S., Brodkin, E.S., Gee, J.C., Abel, T., Poptani, H.: High Resolution Magnetic Resonance Imaging for Characterization of the Neuroligin-3 Knock-in Mouse Model Associated with Autism Spectrum Disorder. Plos One Oct 2014.

Zheng, Y., Daniel, E., Hunter, A.A., Xiao, R., Gao, J., Li, H., Maguire, M.G., Brainard, D.H., Gee, J.C.: Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix. Medical Image Analysis 18(6): 903-913, Aug 2014.

Bakic, P.R., Pokrajac, D.D., Thomas, M., Skoura, A., Nuzhnaya, T., Megalooikonomou, V., Keller, B., Zheng, Y., Kontos, D., Gee, J.C., Cardenosa, G., Maidment, A.D.A.: Correlation between topological descriptors of the breast ductal network from clinical galactograms and texture features of corresponding mammograms. Lecture Notes in Computer Science 8539: 658-665, June 2014.

Duda, J., Cook, P.A., Gee, J.C.: Reproducibility of graph metrics of human brain structural networks. Frontiers in Neuroinformatics 8(46): 14-27, May 2014.

Cook, P.A., McMillan, C.T., Avants, B.B., Peelle, J.E., Gee, J.C., Grossman, M.: Relating brain anatomy and cognitive ability using a multivariate multimodal framework. NeuroImage 99: 477-486, May 2014.

Avants, B.B., Tustison, N.J., Stauffer, M., Song, G., Wu, B., Gee, J.C.: The Insight ToolKit image registration framework. Frontiers in Neuroninformatics 8(44), April 2014.

Tustison, Nicholas J, Avants, Brian B, Cook, Philip A., Kim, Junghoon, Whyte, John, Gee, James C., Stone, James R.: Logical circularity in voxel-based analysis: Nomralization strategy may induce statistical bias. Human Brain Mapping 35(3): 745-759, Mar 2014.

J. Wu, M. Ashtari, L. M. Betancourt, N. L. Brodsky, J. Giannetta, J. Gee, H. Hurt, B. Avants: Cortical Parcellation for Neonate Brains. IEEE 11th International Symposium on Biomedical Imaging Feb 2014.

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Last updated: 01/30/2015
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