Martin Burger
Orcid: 0000-0003-2619-2912Affiliations:
- Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- University of Münster, Germany (2006-2018)
According to our database1,
Martin Burger
authored at least 111 papers
between 2000 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
CoRR, 2023
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow.
CoRR, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
2022
SIAM J. Appl. Math., August, 2022
A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics.
SIAM J. Appl. Math., June, 2022
Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems.
IEEE Trans. Computational Imaging, 2022
CoRR, 2022
2021
IEEE Trans. Signal Process., 2021
Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures.
SIAM J. Control. Optim., 2021
Learning convex regularizers satisfying the variational source condition for inverse problems.
CoRR, 2021
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions.
CoRR, 2021
Identifying untrustworthy predictions in neural networks by geometric gradient analysis.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
IEEE Trans. Image Process., 2020
SIAM J. Appl. Math., 2020
J. Comput. Phys., 2020
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
CoRR, 2020
2019
Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators.
J. Math. Imaging Vis., 2019
CoRR, 2019
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
2018
Sorting Phenomena in a Mathematical Model For Two Mutually Attracting/Repelling Species.
SIAM J. Math. Anal., 2018
SIAM J. Imaging Sci., 2018
Convergence rates and structure of solutions of inverse problems with imperfect forward models.
CoRR, 2018
2017
Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based sparse representation.
Signal Process. Image Commun., 2017
Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures.
J. Nonlinear Sci., 2017
Analysis of the Diffuse Domain Method for Second Order Elliptic Boundary Value Problems.
Found. Comput. Math., 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems.
Proceedings of the Pattern Recognition - 39th German Conference, 2017
2016
SIAM J. Imaging Sci., 2016
SIAM J. Appl. Math., 2016
Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem.
NeuroImage, 2016
Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects.
J. Math. Imaging Vis., 2016
Infimal Convolution Regularisation Functionals of BV and L<sup>p</sup> Spaces - Part I: The Finite p Case.
J. Math. Imaging Vis., 2016
CoRR, 2016
2015
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015
Multiscale Model. Simul., 2015
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
Infimal Convolution Regularisation Functionals of BV and L<sup>p</sup> Spaces. The Case p=∞.
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015
2014
Stationary States and Asymptotic Behavior of Aggregation Models with Nonlinear Local Repulsion.
SIAM J. Appl. Dyn. Syst., 2014
A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities.
J. Vis. Commun. Image Represent., 2014
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
2013
SIAM J. Sci. Comput., 2013
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models.
J. Math. Imaging Vis., 2013
On a mean field game optimal control approach modeling fast exit scenarios in human crowds.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration.
IEEE Trans. Medical Imaging, 2012
SIAM J. Imaging Sci., 2012
Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents.
NeuroImage, 2012
NeuroImage, 2012
Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine, 2012
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
2011
Parallel medical image reconstruction: from graphics processing units (GPU) to Grids.
J. Supercomput., 2011
J. Sci. Comput., 2011
Int. J. Comput. Vis., 2011
2010
SIAM J. Imaging Sci., 2010
A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2009
SIAM J. Imaging Sci., 2009
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
Proceedings of the Parallel Computing Technologies, 10th International Conference, 2009
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
Networks Heterog. Media, 2008
Proceedings of the Algorithmic Foundation of Robotics VIII, 2008
2007
J. Comput. Phys., 2007
Error estimation for Bregman iterations and inverse scale space methods in image restoration.
Computing, 2007
2006
SIAM J. Numer. Anal., 2006
The Keller-Segel Model for Chemotaxis with Prevention of Overcrowding: Linear vs. Nonlinear Diffusion.
SIAM J. Math. Anal., 2006
SIAM J. Control. Optim., 2006
J. Math. Imaging Vis., 2006
2005
Multiscale Model. Simul., 2005
Proceedings of the Variational, 2005
2004
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion.
Proceedings of the Computer Vision, 2004
2003
Neural Networks, 2003
2002
SIAM J. Numer. Anal., 2002
2001
Iterative Regularization of a Parameter Identification Problem Occurring in Polymer Crystallization.
SIAM J. Numer. Anal., 2001
Math. Control. Signals Syst., 2001
2000
Adv. Comput. Math., 2000