PhD Project: Training Sets in Large-Scale Reconstruction Methods
The project is affiliated with the
project High-Definition Tomography (HD-Tomo) financed by the
European Research Council.
This PhD project aims at providing a theoretical and methodological framework for the use of training sets as non-parametric priors for the solutions in tomographic image reconstruction. In particular we will study and further develop the use of artificially generated training images for incorporation of structural information about the solution.
Publication: Research - peer-review › Journal article – Annual report year: 2016
Publication: Research › Ph.D. thesis – Annual report year: 2015
Studies of Sensitivity in the Dictionary Learning Approach to Computed Tomography: Simplifying the Reconstruction Problem, Rotation, and Scale
Publication: Research › Report – Annual report year: 2015