Publications
B-SMART: Bregman-Based First-Order Algorithms for Non-Negative
Compressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM. 110-124
(2013). Accelerating Constrained Sirt With Applications In Tomographic Particle Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9477
Technical Report (3.33 MB)
(2009). 
Extended And Constrained Cimmino-Type Algorithms With Applications In Tomographic Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8798/
Technical Report (2.13 MB)
(2008). 
Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods. Proc.~7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM~08). Ed Acad Romane, Bucuresti
(2008). Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods. Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)
(2008). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760
Technical Report (646.75 KB)
(2009). 
B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013. Springer. 7893 110-124
Technical Report (1.15 MB)
(2013). 
Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems. Proc.~6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM~07). Ed Acad Romane, Bucuresti
(2007). Average Case Recovery Analysis of Tomographic Compressive Sensing. Linear Algebra and its Applications. 441 168-198
Technical Report (1.85 MB)
(2014). 
TomoPIV meets Compressed Sensing. Pure Math.~Appl. 20 49 -- 76. http://www.mat.unisi.it/newsito/puma/public_html/contents.php
Technical Report (409.1 KB)
(2009). 
Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics. Fundamenta Informaticae. 125 285--312
Technical Report (1.42 MB)
(2013). 
Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. http://arxiv.org/abs/1209.4316
(2012). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 294--303
Technical Report (1014.71 KB)
(2008). 
3D Tomography from Few Projections in Experimental Fluid Mechanics. Imaging Measurement Methods for Flow Analysis. Springer. 106 63-72
Technical Report (411.51 KB)
(2009). 