Training Background/Current Position
- Postdoctoral researcher, University of Pennsylvania (2017 - present)
- Ph.D of Applied Mathematics and Statistics, Stony Brook University (2011 - 2016)
- B.S of Applied Mathematics, Sun-Yat Sen University (2007 - 2011)
Research Projects
Computational imaging phenotypes of breast cancer risk with digital mammography and digital breast tomosynthesis.
Selected Publications
- Hu Y, Liang Z, Song, Hao H, Pickhardt P, Zhu W, Zhang H, et al. "Texture feature extraction and analysis for polyp differentiation via computed tomography colonography.'' IEEE Transactions on Medical Imaging, 35(6):1522-31, 2016.
- Zhang H, Han H, Liang Z, Hu Y, Liu Y, Moore W, Ma J, et al. "Extracting information from previous full-dose CT scan for knowledge-based Bayesian reconstruction of current low-dose CT images.'' IEEE Transactions on Medical Imaging, 35(3): 860-870,2015.
- Ma M, Li L, Han H, Hu Y, Gu D, Liang Z. “Adaptive kernel based multiple kernel learning for computer-aided polyp detection in CT colonography.” Geometry, Imaging and Computing, 2(1): 23-45, 2015.
- Hu Y, Song B, Zhu W, Liang Z. "An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategies." Proc. SPIE Medical Imaging. vol 9785, 2016.