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James C. Gee, PhD

James C. Gee, PhD Researcher

Associate Professor of Radiologic Science in Radiology

Dr. Gee is employed by Penn Medicine.

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Memberships

Alzheimer’s Association, National Association of Computing Machinery, International Center for Integrative Biomedical Computing, University of Utah, Salt Lake City, UT, National Department of Computer and Information Science, Temple University, Philadelphia, PA, National Duke Center for In Vivo Microscopy, Duke University, Durham, NC, National Engineering and Physical Sciences Research Council, United Kingdom, International EPSRC Center for Doctoral training in Medical Imaging, University College London, United Kingdom, International International Neuroinformatics Coordinating Facility (INCF) Program on Digital Brain Atlasing, Waxholm Space Task Force, International International Society for Magnetic Resonance in Medicine, International Michael Smith Foundation for Health Research, International National Institute of Environmental Health Sciences, Small Business Innovation Research (SBIR), National National Institute of Health, ZRG1 SBIB-V Clinical Pediatric Special Emphasis Panel, National National Institutes of Health, ZMH1 ERB-Q (04) S BRAIN Initiative: Tools to Facilitate High-Throughput Microconnectivity Analysis (R01) Special Emphasis Panel/Scientific Review Group (Member), National National Institutes of Health, ZMH1 ERB-Q (08) S BRAIN Initiative: Integration and Analysis of BRAIN Initiative Data (R01) Special Emphasis Panel/Scientific Review Group (Member), National National Institutes of Health, ZMH1-ERB-C-04 BRAIN Initiative: Data Archives, Integration, and Standards Special Emphasis Panel/Scientific Review Group (Member), National National Institutes of Health, ZRG1 BST-T (40) Biomedical Technology Research Resource (P41) Special Emphasis Panel (Member), National National Institutes of Health, ZRG1 ETTN-D (50) R Special Emphasis Panel/Scientific Review Group (Member), National National Institutes of Health, ZRG1 SBIB-V (82) Special Emphasis Panel, National Qatar Foundation, Qatar, International Society of Photo-Optical Instrumentation Engineers, International The Institute of Electrical and Electronics Engineers, International The Medical Image Computing and Computer Assisted Intervention Society, International The Netherlands Organisation for Scientific Research (NWO), Netherlands, International US-Israel Binational Science Foundation, Israel, International

Hospital Affiliation

Dr. Gee is employed by Penn Medicine.

Research

Selected Publications:

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: A Journal of Neurology 142 ((6)): 1701-1722,2019.

Allan Johnson, G., 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 : 2146 - 2157,2019.

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): 2146-2157,2019.

Doung, 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 Neurology 40 (8): 1282-1290,2019.

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 AJNR. American journal of neurology 40 (8): 1282 - 1290,2019.

Phillips, Jeffrey S; Da Re, Fulvio; Irwin, David J; McMillan, Corey T; Vaishnavi, Sanjeev N; Xie, Sharon X; Lee, Edward B; Cook, Philip A; Gee, James C; Shaw, Leslie M; Trojanowski, John Q; Wolk, David A; Grossman, Murray: Longitudinal progression of grey matter atrophy in non-amnestic Alzheimer's disease Brain: a journal of neurology 142 (6): 1701 - 1722,2019.

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): 412-423,2019.

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. American Association of Physicist in Medicine 46 (2): 1054-1063,2019.

Tustison, N., Avants, B., Lin, Z., Feng, X., Cullen, N., Mata, J.F., Flors, 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 Acad Radiol : S1076-6332(18)30387-8 doi: 10.1016/acra.2018.08.003,2018.

Olm, C.A., McMillan, C.T., Irwin, D.J., Van Deerlin, V.M., Cook, P.A., Gee, J.C., Grossman, M.;: Longitudinal structural gray matter and white matter MRI changes in presymptomatic progranulin mutation carriers NuroImage: Clinical (19): 497-506,2018.

Academic Contact Info

Richards - 6th Floor
3700 Hamilton Walk

Philadelphia, PA 19104-6116
Phone: (215) 746-6295