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| 2012 | ||
|---|---|---|
| 36 | Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab: A Framework for Automated Cell Tracking in Phase Contrast Microscopic Videos based on Normal Velocities CoRR abs/1203.5914: (2012) | |
| 35 | Fabian Gigengack, Lars Ruthotto, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers: Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Trans. Med. Imaging 31(3): 698-712 (2012) | |
| 34 | Michael Möller, Todd Wittman, Andrea L. Bertozzi, Martin Burger: A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sciences 5(1): 150-178 (2012) | |
| 2011 | ||
| 33 | Martin Burger, Andreas Zeller: Minimizing reproduction of software failures. ISSTA 2011: 221-231 | |
| 32 | Christoph Brune, Alex Sawatzky, Martin Burger: Primal and Dual Bregman Methods with Application to Optical Nanoscopy. International Journal of Computer Vision 92(2): 211-229 (2011) | |
| 31 | Xiaoqun Zhang, Martin Burger, Stanley Osher: A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011) | |
| 30 | Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger: Parallel medical image reconstruction: from graphics processing units (GPU) to Grids. The Journal of Supercomputing 57(2): 151-160 (2011) | |
| 2010 | ||
| 29 | Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers: A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. MIAR 2010: 88-97 | |
| 28 | Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley Osher: Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sciences 3(3): 253-276 (2010) | |
| 27 | Martin Burger, Marco Di Francesco, Jan-Frederik Pietschmann, Bärbel Schlake: Nonlinear Cross-Diffusion with Size Exclusion. SIAM J. Math. Analysis 42(6): 2842-2871 (2010) | |
| 2009 | ||
| 26 | Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger: Total Variation Processing of Images with Poisson Statistics. CAIP 2009: 533-540 | |
| 25 | Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger: Parallel Medical Image Reconstruction: From Graphics Processors to Grids. PaCT 2009: 457-473 | |
| 24 | Christoph Brune, Alex Sawatzky, Martin Burger: Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM 2009: 235-246 | |
| 23 | Martin Burger, Lin He, Carola-Bibiane Schönlieb: Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images. SIAM J. Imaging Sciences 2(4): 1129-1167 (2009) | |
| 2008 | ||
| 22 | Martin Burger, Yanina Landa, Nicolay M. Tanushev, Richard Tsai: Discovering a Point Source in Unknown Environments. WAFR 2008: 663-678 | |
| 21 | Martin Burger, Andreas Zeller: Replaying and isolating failing multi-object interactions. WODA 2008: 71-77 | |
| 20 | Paolo Favaro, Stefano Soatto, Martin Burger, Stanley Osher: Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008) | |
| 19 | Martin Burger, Christina Stöcker, Axel Voigt: Finite Element-Based Level Set Methods for Higher Order Flows. J. Sci. Comput. 35(2-3): 77-98 (2008) | |
| 18 | Martin Burger, Marco Di Francesco: Large time behavior of nonlocal aggregation models with nonlinear diffusion. NHM 3(4): 749-785 (2008) | |
| 2007 | ||
| 17 | Martin Burger, E. Resmerita, Lin He: Error estimation for Bregman iterations and inverse scale space methods in image restoration. Computing 81(2-3): 109-135 (2007) | |
| 16 | Martin Burger, Robert S. Eisenberg, Heinz W. Engl: Inverse Problems Related to Ion Channel Selectivity. SIAM Journal of Applied Mathematics 67(4): 960-989 (2007) | |
| 2006 | ||
| 15 | Lin He, Martin Burger, Stanley Osher: Iterative Total Variation Regularization with Non-Quadratic Fidelity. Journal of Mathematical Imaging and Vision 26(1-2): 167-184 (2006) | |
| 14 | Martin Burger, Roman Stainko: Phase-Field Relaxation of Topology Optimization with Local Stress Constraints. SIAM J. Control and Optimization 45(4): 1447-1466 (2006) | |
| 13 | Martin Burger, Marco Di Francesco, Yasmin Dolak-Struss: The Keller-Segel Model for Chemotaxis with Prevention of Overcrowding: Linear vs. Nonlinear Diffusion. SIAM J. Math. Analysis 38(4): 1288-1315 (2006) | |
| 12 | Martin Burger, Barbara Kaltenbacher: Regularizing Newton-Kaczmarz Methods for Nonlinear Ill-Posed Problems. SIAM J. Numerical Analysis 44(1): 153-182 (2006) | |
| 2005 | ||
| 11 | Martin Burger, Karsten Lehmann, Andreas Zeller: Automated debugging in eclipse. OOPSLA Companion 2005: 184-185 | |
| 10 | Martin Burger, Stanley Osher, Jinjun Xu, Guy Gilboa: Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM 2005: 25-36 | |
| 9 | Martin Burger, Andreas Hofinger: Regularized Greedy Algorithms for Network Training with Data Noise. Computing 74(1): 1-22 (2005) | |
| 2004 | ||
| 8 | Paolo Favaro, Martin Burger, Stefano Soatto: Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) 2004: 257-269 | |
| 2003 | ||
| 7 | Philipp Bouillon, Martin Burger, Andreas Zeller: Automated debugging in Eclipse (at the touch of not even a button). OOPSLA Workshop on Eclipse Technology eXchange 2003: 1-5 | |
| 6 | Martin Burger, Andreas Neubauer: Analysis of Tikhonov regularization for function approximation by neural networks. Neural Networks 16(1): 79-90 (2003) | |
| 5 | Martin Burger, René Pinnau: Fast Optimal Design of Semiconductor Devices. SIAM Journal of Applied Mathematics 64(1): 108-126 (2003) | |
| 2002 | ||
| 4 | Martin Burger, Wolfram Mühlhuber: Numerical Approximation of an SQP-Type Method for Parameter Identification. SIAM J. Numerical Analysis 40(5): 1775-1797 (2002) | |
| 2001 | ||
| 3 | Martin Burger, Andreas Neubauer: Error Bounds for Approximation with Neural Networks. Journal of Approximation Theory 112(2): 235-250 (2001) | |
| 2 | Martin Burger, Otmar Scherzer: Regularization Methods for Blind Deconvolution and Blind Source Separation Problems. MCSS 14(4): 358-383 (2001) | |
| 2000 | ||
| 1 | Martin Burger, Heinz W. Engl: Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. 13(4): 335-354 (2000) | |
Colors in the list of coauthors
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