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James C. Gee, Ph.D.

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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
Richards - 6th Floor
3700 Hamilton Walk
Philadelphia, PA 19104-6116
Office: 215-746-6295
B.S. (Electrical Engineering)
University of Washington, 1987.
B.S. (Computer Science)
University of Washington, 1987.
M.S. (Electrical Engineering)
University of Washington, 1989.
Ph.D. (Computer and Information Science)
University of Pennsylvania, 1996.
Post-Graduate Training
Visiting Scholar, Laboratoire des Signaux et Images en Medecine, Faculte de Medecine, Universite de Rennes I,Rennes, France, 1994-1995.
Postdoctoral Fellow in Neurology and Computer and Information Science, University of Pennsylvania, 1996-1997.
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Selected Publications

Showalter, B.L., DeLucca, J.F., Peloquin, J.M., Cortes, D.H., Yoder, J.H., Jacobs, N.T., Wright, A.C., Gee, J.C., Vresilovic, E.J., Elliott, D.M.: Novel human intervertebral disc strain template to quantify regional three-dimensional strains in a population and compare to internal strains predicted by a finite element model Journal of Orthopaedic Researchh. John Wiley and Sons, Inc. 34(7): 1264-1273, July 2016.

Olm, CA, Kandel, BM, Avants, BB, Detre, JA, Gee, JC, Grossman, M, McMillan, CT : Arterial spin labeling perfusion predicts longitudinal decline in semantic variant primary progressive aphasia Journal of Neurology. Elsevier, Page: 1-12, July 2016.

He, Y., Sun, Y., Chen, M., Zheng, Y., Liu, H., Leon, C., Beltran, W., Gee, J.C.: Automatic segmentation of canine retinal OCT using adaptive gradient enhancement and region growing (Conference Paper). Medical Imaging 2016. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (eds.). 9788(97881Q), Mar 2016.

Kumar, M, Duda, JT, Yoon, SY, Bagel, J, O'Donnell, P, Vite, C, Pickup, S, Gee, JC, Wolfe, JH, Poptani, H: Diffusion tensor imaging for assessing brain gray and white matter abnormalities in a feline model of α-Mannosidosis Journal of Neuropathology and Experimental Neurology. Lippincott Williams and wilkins, 75(1): 34-43, March 2016.

Wang, P., Yin, L., Zhang, Y., Kirk, M., Song, G., Ahn, P.H., Lin, A., Gee, J., Dolney, D., Solberg, T.D., Maughan, R., McDonough, J., Teo, B.-K.K.: Quantitative assessment of anatomical change using a virtual proton depth radiograph for adaptive head and neck proton therapy Journal of Applied Clinical Medical Physics Journal of Applied Medical Physics, 17(2): 427-440, 2016 Notes: Open Access.

Kini, LG, Gee, JC, Litt, B: Computational analysis in epilepsy neuroimaging: A survey of features and methods. NeuroImage: Clinical Elsevier, Inc. 11: 515-529, 2016.

Tustison, NJ, Shrinidhi, KL, Wintermark, M, Durst, CR, Kandel, BM, Gee, JC, Grossman, MC, Avants, BB: Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR. Neuroinformatics. Humana Press, Inc. 13(2): 209-225, November 2015.

Wu, J, Awate, SP, Licht, DJ, Clouchoux, C, DuPlessis, AJ, Avants, BB, Vossough, A, Gee, JC, Limperopoulos, C: Assessment of MRI-based automated fetal cerebral cortical folding measures in prediction of gestational age in the third trimester. American Journal of Neuroradilogy 36(7): 1369-1374, July 2015.

Ashtari, M, Zhang, H, Cook, PA, Cyckowski, LL, Shindler, KS, Marshall, KA, Aravand, P, Vossough, A, Gee, JC, Maguire, AM, Baker, CI, Bennett, J: Plasticity of the human visual system after retinal gene therapy in patients with Leber's congenital amaurosis. Science Translational Medicine 7(296): 296ra110, July 2015.

Zheng, Y, Keller, BM, Ray, S, Wang, Y, Conant, EF, Gee, JC, Kontos, D: Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment. Medical Physics. AAPM-American Association of Physicists in Medicine, 42(7): 4921996, July 2015.

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Last updated: 10/17/2016
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