Sara Soltani

Sara Soltani



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.

Project Description

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. 

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  • BIT Numerical Mathematics

    ISSNs: 0006-3835

    Additional searchable ISSN (Electronic): 1572-9125

    Springer Netherlands, Netherlands

    BFI (2018): BFI-level 2, Scopus rating (2017): SJR 1.364 SNIP 1.084, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


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ID: 10137764