Publications
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(2016). Automatic Segmentation Of Neurites From Anisotropic Em-Imaging. University of Heidelberg
(2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. Bioimage Computing Workshop. ICCV. 1-10
(2005). Variational, Geometric and Level Sets in Computer Vision (VLSM'05). Springer. 3752
(2008). Analysis of Motion in Scale Space. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9378
(1999). Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J.~Math.~Imaging and Vision. 10 143--162
(1997). Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements. Proc.~9th Int.~Conf.~on Image Analysis and Processing (ICIAP'97)
(1998). Non-Rigid Image Registration Using a Parameter-Free Elastic Model. 9th British Machine Vision Conference (BMVC`98). 134--143
(1998). Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements. Machine Graphics & Vision. 7 807--829
(2017). Cost-efficient Gradient Boosting. NIPS, poster
(2015). Spatio-Temporal Motif Deconvolution For Calcium Image Analysis. University of Heidelberg
(2017). Sparse convolutional coding for neuronal assembly detection. NIPS, poster
(2009). 3D Tomography from Few Projections in Experimental Fluid Mechanics. Imaging Measurement Methods for Flow Analysis. Springer. 106 63-72
Technical Report (411.51 KB)
Technical Report (411.51 KB) (2014). Average Case Recovery Analysis of Tomographic Compressive Sensing. Linear Algebra and its Applications. 441 168-198 Technical Report (1.85 MB)
Technical Report (1.85 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). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 294--303 Technical Report (1014.71 KB)
Technical Report (1014.71 KB) (2007). 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
(2008). 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)
Technical Report (2.13 MB) (2012). Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. http://arxiv.org/abs/1209.4316
(2013). 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)
Technical Report (1.15 MB) (2009). 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)
Technical Report (3.33 MB) (2013). Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics. Fundamenta Informaticae. 125 285--312 Technical Report (1.42 MB)
Technical Report (1.42 MB) (2009). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760 Technical Report (646.75 KB)
Technical Report (646.75 KB) (2013). 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
(2009). 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)
Technical Report (409.1 KB) (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)
(2011). Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy. Nano Letters. 11 3099-3107
(2011). Weiterentwicklung Einer Hochauflösenden Lif-Methode Zur Messung Von Sauerstoffkonzentrationsprofilen In Der Wasserseitigen Grenzschicht. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
(2006). Untersuchung von Austauschprozessen an der Wasseroberfläche aus Infrarot-Bildsequenzen mittels frequenzmodulierter Wärmeeinstrahlung. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/6489
(2016). Automatic Segmentation Of Neurons In Electron Microscopy Data With Membrane Defects. University of Heidelberg
(2007). A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.. SIAM Journal of Applied Mathematics. 68 599-618
(2000). Bestimmung Physiologischer Parameter Von Pflanzen Mittels Digitaler Bildverarbeitung. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg