James C. Gee - Faculty Biosketch

James C. Gee, Ph.D.

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 Bio-Imaging Center, Institute of Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA

Faculty Affiliate, General Robotics, Automation, Sensing and Perception (GRASP) Laboratory, University of Pennsylvania, Philadelphia, PA

Director, MSE in Data Science Online Program, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA

Co-Chair, Committee on Appointments and Promotions, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

Director, Interfaces Program in Biomedical Imaging and Informational Sciences, University of Pennsylvania, Philadelphia, PA

Faculty Search Advisor, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadephia, PA

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Department: Radiology

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46 Contact information
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Department of Radiology
33 Penn Image Computing and Science Laboratory
1c Richards - 6th Floor
3a 3700 Hamilton Walk
Philadelphia, PA 19104-6116

2e Office: 215-746-6295
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Email:
gee@upenn.edu

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1f Graduate Group Affiliations 8

Bioengineering
Computer and Information Science

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Links
58 Laboratory website
8f Biography Page, Penn Image Computing and Science Laboratory
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13 Education:
21 9 B.S. 1d (Computer Science) c
31 University of Washington, 1987.
21 9 B.S. 23 (Electrical Engineering) c
31 University of Washington, 1987.
21 9 M.S. 23 (Electrical Engineering) c
31 University of Washington, 1989.
21 a Ph.D. 2d (Computer and Information Science) c
33 University of Pennsylvania, 1996.
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1f Post-Graduate Training
24 9a Visiting Scholar, Laboratoire des Signaux et Images en Medecine, Faculte de Medecine, Universite de Rennes I, Rennes, France, 1994-1995.
24 7f Postdoctoral Fellow in Neurology and Computer and Information Science, University of Pennsylvania, 1996-1997.
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3 3 90 Permanent link
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Selected Publications

19d Phillips, J. S., Da Re, F., Irwin, D. J., McMillian, C. T., Vaishnavi, S. N., Xie, S. X., Lee, E. B., Cook P.A., Gee, J. C., Shaw, L. M., Trojanowski, J. Q., Wolk, D. A., Grossman, M. : Longitudinal progression of grey matter atrophy in non-amnestic Alzheimer's disease. Brain 142(6): 1701-1722, June 2019 Notes: DOI: 10.1093/brain/awz091.

123 Johnson, G. A., Wang, N., Anderson, R.J., Chen, M., Cofer, G.P., Gee, J. C., Pratson, F., Tustison, N., White, L. E.: Whole mouse brain connectomics. Journal of Comparative Neurology 527(13): 2146-2157, September 2019.

135 Duong M T, Rudie J D, Wang J, Xie L, Mohan S, Gee J C, Rauschecker A M: Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging. American Journal of Neuroradiology 40(8): 1282-1290, August 2019.

11f Claeson AA, Vresilovic EJ, Showalter BL, Wright AC, Gee JC, Malhotra NR, Elliott DM: Human Disc Nucleotomy Alters Annulus Fibrosus Mechanics at Both Reference and Compressed Loads. J Biomech Eng 141(11), May 2019.

127 Guo, Y., Chung, F., Li, G., Wang, J., Gee, J.C., : Leveraging label-specific discriminant mapping features for multi-label learning. ACM Transactions on Knowledge Discovery from Data 13(2): art. no. 24 pp1-23, April 2019.

1ab Tustison, N. J., Avants, B. B., Lin, Z., Feng, X., Cullen, N., Mata, J. F., Flos, L., Gee, J. C., Altes, T. A., Mugler, III, J. P., Qing, K.: Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification. Academic Radiology 26(3): 412-423, March 2019 Notes: doi: 10.1016/j.acra.2018.08.003. Epub 2018 Sep 6.

119 Kim H, Goo JM, Ohno Y, Kauczor HU, Hoffman EA, Gee JC, van Beek EJR: Effect of Reconstruction Parameters on the Quantitative Analysis of Chest Computed Tomography J Thorac Imaging 34(2): 92-102, March 2019.

162 Lindsay, W.D., Ahern, C.A., Tobias, J.S., Berlind, C.G., Chinniah, C., Gabriel, P.E., Gee, J.C., Simone, C.B.: Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy. Medical Physics 46(2): 1054-1063, February 2019.

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26 Last updated: 09/09/2025
34 The Trustees of the University of Pennsylvania c