Jim’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.
- Yuanjie Zheng and Yan Wang and Brad M. Keller and Emily Conant and James C. Gee and Despina Kontos, “A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: Parameter optimization in a case-control breast cancer risk assessment study,” SPIE Medical Imaging 2013: Computer- Aided Diagnosis, 2013.
- Zheng, Y. and Lin, S. and Kang, S. and Xiao, R. and Gee, J. and Kambhamettu, C., “Single-Image Vignetting Correction from Gradient Distribution Symmetries,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.
- Keller, B.M. and Nathan, D.L. and Wang, Y. and Zheng, Y. and Gee, J.C. and Conant, E.F. and Kontos, D., “Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.,” Medical physics, vol. 39, iss. 8, pp. 4903, 2012.
- Philip A Cook and Daniel C Alexander, “Inter-subject comparison of brain connectivity using Diffusion-Tensor Magnetic Resonance Imaging,” Medical Image Understanding and Analysis, pp. 117-120, 2003. [link to file]