Jacob Hinkle is a postdoctoral researcher at the Computational Science Center.
His research involves the statistical study of geometric structures derived from imaging data. Among other things, he will be working with Dr. Bryon Donohoe and Dr. Peter Ciesielski in the Biosciences group at NREL to analyze the geometry and distribution of cellulose fibers using 3D electron miscroscopy.
- Mathematical modeling
- Parametric and non-parametric curve regression
- Image analysis
- Shape-based statistics
- Deformation analysis through Lie group actions
- Computational anatomy
2013 Ph.D., Bioengineering, Unisersity of Utah
2006 B.S. Physics, Miami University
2006 B.S., Mathematics, Miami University
- Hinkle, Jacob; Fletcher, P. Thomas; Joshi, Sarang (2014). "Intrinsic Polynomials for Regression on Riemannian Manifolds." Journal of Mathematical Imaging and Vision http://dx.doi.org/10.1007/s10851-013-0489-5.
- Hinkle, Jacob; Szegedi, Martin; Wang, Brian; Salter, Bill; Joshi, Sarang (2012). "4D CT image reconstruction with diffeomorphic motion model." Medical Image Analysis (16:6 / August 2012); pp. 1307-1316. http://dx.doi.org/10.1016/j.media.2012.05.013.
- Geneser, Sarah; Hinkle, Jacob; Kirby, R. Mike; Wang, Brian; Salter, Bill; Joshi, Sarang (2011). "Quantifying variability in radiation dose due to respiratory-induced tumor motion." Medical Image Analysis (15:4 ); pp. 640-649. http://dx.doi.org/10.1016/j.media.2010.07.003.