Martin Burger

Martin Benning, Christoph Brune, Martin Burger, Jahn Müller: Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54(2-3): 269-310 (2013)

Martin Burger, Michael Möller, Martin Benning, Stanley Osher: An adaptive inverse scale space method for compressed sensing. Math. Comput. 82(281) (2013)

Martin Burger, Jan Modersitzki, Lars Ruthotto: A Hyperelastic Regularization Energy for Image Registration. SIAM J. Scientific Computing 35(1) (2013)

Valentin Dallmeier, Martin Burger, Tobias Orth, Andreas Zeller: WebMate: Generating Test Cases for Web 2.0. SWQD 2013: 55-69

Felix Lucka, Sampsa Pursiainen, Martin Burger, Carsten H. Wolters: Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents. NeuroImage 61(4): 1364-1382 (2012)

B. Lanfer, M. Scherg, M. Dannhauer, Thomas R. Knösche, Martin Burger, Carsten H. Wolters: Influences of skull segmentation inaccuracies on EEG source analysis. NeuroImage 62(1): 418-431 (2012)

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)

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)

Lars Ruthotto, Fabian Gigengack, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers, Jan Modersitzki: A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin 2012: 51-56

Fabian Gigengack, Lars Ruthotto, Xiaoyi Jiang, Jan Modersitzki, Martin Burger, Sven Hermann, Klaus P. Schäfers: Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV 2012: 82-92

Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang, Martin Burger, Wladimir Haffner, Patrick Willems, Matthias Paul, Jörg Stypmann: Impact of Physical Noise Modeling on Image Segmentation in Echocardiography. VCBM 2012: 33-40

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)

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)

Xiaoqun Zhang, Martin Burger, Stanley Osher: A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011)

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)

Martin Burger, Andreas Zeller: Minimizing reproduction of software failures. ISSTA 2011: 221-231

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)

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)

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

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)

Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger: Total Variation Processing of Images with Poisson Statistics. CAIP 2009: 533-540

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

Christoph Brune, Alex Sawatzky, Martin Burger: Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM 2009: 235-246

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)

Martin Burger, Marco Di Francesco: Large time behavior of nonlocal aggregation models with nonlinear diffusion. NHM 3(4): 749-785 (2008)

Paolo Favaro, Stefano Soatto, Martin Burger, Stanley Osher: Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008)

Martin Burger, Andreas Zeller: Replaying and isolating failing multi-object interactions. WODA 2008: 71-77

Martin Burger, Yanina Landa, Nicolay M. Tanushev, Richard Tsai: Discovering a Point Source in Unknown Environments. WAFR 2008: 663-678

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)

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)

Martin Burger: JINSI: Isolation fehlerrelevanter Interaktion in Produktivsystemen. Softwaretechnik-Trends 27(2) (2007)

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)

Martin Burger, Roman Stainko: Phase-Field Relaxation of Topology Optimization with Local Stress Constraints. SIAM J. Control and Optimization 45(4): 1447-1466 (2006)

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)

Martin Burger, Barbara Kaltenbacher: Regularizing Newton-Kaczmarz Methods for Nonlinear Ill-Posed Problems. SIAM J. Numerical Analysis 44(1): 153-182 (2006)

Martin Burger, Andreas Hofinger: Regularized Greedy Algorithms for Network Training with Data Noise. Computing 74(1): 1-22 (2005)

Martin Burger, Karsten Lehmann, Andreas Zeller: Automated debugging in eclipse. OOPSLA Companion 2005: 184-185

Martin Burger, Stanley Osher, Jinjun Xu, Guy Gilboa: Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM 2005: 25-36

Paolo Favaro, Martin Burger, Stefano Soatto: Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) 2004: 257-269

Martin Burger, Andreas Neubauer: Analysis of Tikhonov regularization for function approximation by neural networks. Neural Networks 16(1): 79-90 (2003)

Martin Burger, René Pinnau: Fast Optimal Design of Semiconductor Devices. SIAM Journal of Applied Mathematics 64(1): 108-126 (2003)

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

Martin Burger, Wolfram Mühlhuber: Numerical Approximation of an SQP-Type Method for Parameter Identification. SIAM J. Numerical Analysis 40(5): 1775-1797 (2002)

Martin Burger, Andreas Neubauer: Error Bounds for Approximation with Neural Networks. Journal of Approximation Theory 112(2): 235-250 (2001)

Martin Burger, Otmar Scherzer: Regularization Methods for Blind Deconvolution and Blind Source Separation Problems. MCSS 14(4): 358-383 (2001)

Martin Burger, Heinz W. Engl: Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. 13(4): 335-354 (2000)