Martin Burger

发表

Infimal Convolution Regularisation Functionals of BV and $$\varvec{\mathrm {L}}^{\varvec{p}}$$Lp Spaces

Carola-Bibiane Schönlieb, Martin Burger, Konstantinos Papafitsoros, 2016, Journal of Mathematical Imaging and Vision.

Influences of skull segmentation inaccuracies on EEG source analysis

Thomas R. Knösche, Moritz Dannhauer, Martin Burger, 2012, NeuroImage.

Sparse recovery in myocardial blood flow quantification via PET

Martin Burger, Ralf Engbers, Martin Benning, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

On a mean field game optimal control approach modeling fast exit scenarios in human crowds

Marie-Therese Wolfram, Martin Burger, Marco Di Francesco, 2013, 52nd IEEE Conference on Decision and Control.

TGV-based flow estimation for 4D leukocyte transmigration

Martin Burger, Christoph Brune, L. Frerking, 2014 .

Nonlinear Spectral Image Fusion

Michael Möller, Daniel Cremers, Carola-Bibiane Schönlieb, 2017, SSVM.

Spectral Representations of One-Homogeneous Functionals

Michael Möller, Guy Gilboa, Martin Burger, 2015, SSVM.

Convergence rates and structure of solutions of inverse problems with imperfect forward models pdf

Martin Burger, Yury Korolev, Julian Rasch, 2018, Inverse Problems.

Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion

Stefano Soatto, Martin Burger, Paolo Favaro, 2004, ECCV.

Inverse Total Variation Flow

Otmar Scherzer, Stanley Osher, Martin Burger, 2007, Multiscale Model. Simul..

Phase-Field Relaxation of Topology Optimization with Local Stress Constraints

Martin Burger, Roman Stainko, M. Burger, 2006, SIAM J. Control. Optim..

Training neural networks with noisy data as an ill-posed problem

Martin Burger, Heinz W. Engl, H. Engl, 2000, Adv. Comput. Math..

A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models

Xiaoyi Jiang, Martin Burger, Alex Sawatzky, 2013, Journal of Mathematical Imaging and Vision.

A mesoscopic model of biological transportation networks

Martin Burger, Peter Markowich, Jan Haskovec, 2018, Communications in Mathematical Sciences.

Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

Martin Burger, Leon Bungert, Daniel Tenbrinck, 2019, SSVM.

Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy

Martin Burger, Carola-Bibiane Schönlieb, Stefanie Reichelt, 2016, Methods.

A Hyperelastic Regularization Energy for Image Registration

Martin Burger, Lars Ruthotto, Jan Modersitzki, 2013, SIAM J. Sci. Comput..

Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction

Martin Burger, Joana Sarah Grah, Eva-Maria Brinkmann, 2015, SSVM.

Research data supporting 'Pattern formation of a nonlocal, anisotropic interaction model'

Martin Burger, Peter A. Markowich, Lisa Maria Kreusser, 2017 .

On a Reaction-Cross-Diffusion System Modeling the Growth of Glioblastoma

Martin Burger, Jan-Frederik Pietschmann, Patricia Friele, 2020, SIAM J. Appl. Math..

Lane Formation by Side-Stepping

Marie-Therese Wolfram, Martin Burger, Sabine Hittmeir, 2015, SIAM J. Math. Anal..

On Optical Flow Models for Variational Motion Estimation pdf

Hendrik Dirks, Martin Burger, Lena Frerking, 2015, ArXiv.

Data assimilation in price formation

Marie-Therese Wolfram, Martin Burger, Jan-Frederik Pietschmann, 2019, Inverse Problems.

Discovering a Point Source in Unknown Environments

Martin Burger, Yen-Hsi Richard Tsai, Nicolay M. Tanushev, 2008, WAFR.

Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration

Xiaoyi Jiang, Martin Burger, Carsten H. Wolters, 2012, IEEE Transactions on Medical Imaging.

An Iterative Regularization Method for Total Variation-Based Image Restoration

Wotao Yin, Stanley Osher, Martin Burger, 2005, Multiscale Model. Simul..

Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents

Martin Burger, Carsten H. Wolters, Sampsa Pursiainen, 2012, NeuroImage.

Regularized Greedy Algorithms for Network Training with Data Noise

Martin Burger, Andreas Hofinger, M. Burger, 2005, Computing.

Nonlinear Inverse Scale Space Methods for Image Restoration

Guy Gilboa, Stanley Osher, Martin Burger, 2005, VLSM.

Registration of Noisy Images via Maximum A-Posteriori Estimation

Martin Burger, Jan Modersitzki, Daniel Tenbrinck, 2014, WBIR.

Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images

Lin He, Carola-Bibiane Schönlieb, Martin Burger, 2009, SIAM J. Imaging Sci..

Large time behavior of nonlocal aggregation models with nonlinear diffusion

Martin Burger, Marco Di Francesco, 2008, Networks Heterog. Media.

A Variational Model for Joint Motion Estimation and Image Reconstruction pdf

Carola-Bibiane Schönlieb, Hendrik Dirks, Martin Burger, 2016, SIAM J. Imaging Sci..

Numerical Approximation of an SQP-Type Method for Parameter Identification

Martin Burger, Wolfram Mühlhuber, M. Burger, 2002, SIAM J. Numer. Anal..

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging pdf

Byung-Woo Hong, Hendrik Dirks, Martin Burger, 2016, ArXiv.

Higher-Order TV Methods—Enhancement via Bregman Iteration

Jahn Müller, Martin Burger, Martin Benning, 2012, Journal of Scientific Computing.

Dynamic MRI reconstruction from undersampled data with an anatomical prescan

Julian Rasch, Ville Kolehmainen, Martin Burger, 2017, Inverse Problems.

Color Bregman TV

Michael Möller, Martin Burger, Tamara Seybold, 2013, SIAM J. Imaging Sci..

First order algorithms in variational image processing pdf

Gabriele Steidl, Martin Burger, Alex Sawatzky, 2014, ArXiv.

A level set approach to anisotropic flows with curvature regularization

Martin Burger, Axel Voigt, Christina Stöcker, 2007, J. Comput. Phys..

Adaptive Regularization of Some Inverse Problems in Image Analysis

Stefano Soatto, Byung-Woo Hong, Martin Burger, 2017, IEEE Transactions on Image Processing.

Primal and Dual Bregman Methods with Application to Optical Nanoscopy

Martin Burger, Christoph Brune, Alex Sawatzky, 2011, International Journal of Computer Vision.

Stationary States and Asymptotic Behavior of Aggregation Models with Nonlinear Local Repulsion

Martin Burger, Yanghong Huang, Razvan Fetecau, 2013, SIAM J. Appl. Dyn. Syst..

Mesoscale Averaging of Nucleation and Growth Models

Martin Burger, Vincenzo Capasso, Livio Pizzocchero, 2006, Multiscale Model. Simul..

Nonlinear Cross-Diffusion with Size Exclusion

Martin Burger, Marco Di Francesco, Jan-Frederik Pietschmann, 2010, SIAM J. Math. Anal..

Iterative Total Variation Regularization with Non-Quadratic Fidelity

Lin He, Stanley Osher, Martin Burger, 2006, Journal of Mathematical Imaging and Vision.

Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures

Marie-Therese Wolfram, Martin Burger, Maria Bruna, 2017, J. Nonlinear Sci..

A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities

Michael Möller, Martin Burger, Peter Dieterich, 2012, J. Vis. Commun. Image Represent..

Iterative Solution Methods

Barbara Kaltenbacher, Martin Burger, Andreas Neubauer, 2015, Handbook of Mathematical Methods in Imaging.

Dynamic PET Reconstruction based on a Reaction‐Diffusion Model

Martin Burger, Ralf Engbers, Louise Reips, 2012 .

Second-Order Edge-Penalization in the Ambrosio-Tortorelli functional

Martin Burger, Caterina Ida Zeppieri, Teresa Esposito, 2015, Multiscale Model. Simul..

An entropic Landweber method for linear ill-posed problems pdf

Martin Burger, Martin Benning, Elena Resmerita, 2019, Inverse Problems.

Variational Graph Methods for Efficient Point Cloud Sparsification pdf

Martin Burger, Daniel Tenbrinck, Fjedor Gaede, 2019, ArXiv.

Fast Optimal Design of Semiconductor Devices

Martin Burger, René Pinnau, M. Burger, 2003, SIAM J. Appl. Math..

A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data

Xiaoyi Jiang, Martin Burger, Florian Büther, 2010, MIAR.

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems

Byung-Woo Hong, Hendrik Dirks, Martin Burger, 2016, GCPR.

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Martin Burger, Sergei Gorlatch, Dominik Meiländer, 2010, The Journal of Supercomputing.

Iterative Regularization of a Parameter Identification Problem Occurring in Polymer Crystallization

Martin Burger, M. Burger, 2001, SIAM Journal on Numerical Analysis.

Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects

Michael Möller, Guy Gilboa, Martin Burger, 2015, Journal of Mathematical Imaging and Vision.

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE IEEE TRANSACTION OF PATTERN RECO

Stefano Soatto, Stanley Osher, Martin Burger, 2022 .

Error Bounds for Approximation with Neural Networks

Martin Burger, Andreas Neubauer, A. Neubauer, 2001, J. Approx. Theory.

Parallel Medical Image Reconstruction: From Graphics Processors to Grids

Martin Burger, Sergei Gorlatch, Dominik Meiländer, 2009, PaCT.

Analysis of the Diffuse Domain Method for Second Order Elliptic Boundary Value Problems

Martin Burger, Matthias Schlottbom, Ole Løseth Elvetun, 2014, Found. Comput. Math..

Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞

Carola-Bibiane Schönlieb, Martin Burger, Konstantinos Papafitsoros, 2015, System Modelling and Optimization.

Error estimation for Bregman iterations and inverse scale space methods in image restoration

Lin He, Martin Burger, Elena Resmerita, 2007, Computing.

An Optimization Approach for Well-Targeted Transcranial Direct Current Stimulation

Martin Burger, Carsten H. Wolters, Sven Wagner, 2015, SIAM J. Appl. Math..

Modern regularization methods for inverse problems

Martin Burger, Martin Benning, M. Burger, 2018, Acta Numerica.

Total Variation Processing of Images with Poisson Statistics

Jahn Müller, Martin Burger, Christoph Brune, 2009, CAIP.

Bregman-EM-TV Methods with Application to Optical Nanoscopy

Martin Burger, Christoph Brune, Alex Sawatzky, 2009, SSVM.

Sorting Phenomena in a Mathematical Model For Two Mutually Attracting/Repelling Species

Martin Burger, Marco Di Francesco, Angela Stevens, 2017, SIAM J. Math. Anal..

Motion correction of cardiac PET using mass-preserving registration

Xiaoyi Jiang, Martin Burger, Carsten H. Wolters, 2010, IEEE Nuclear Science Symposuim & Medical Imaging Conference.

Multiscale Methods for Polyhedral Regularizations

Michael Möller, Martin Burger, 2013, SIAM J. Optim..

Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based sparse representation pdf

Martin Burger, Byeungwoo Jeon, Khanh Quoc Dinh, 2017, Signal Process. Image Commun..

Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction

Xavier Bresson, Stanley Osher, Martin Burger, 2010, SIAM J. Imaging Sci..

Reconstruction Methods in THz Single-pixel Imaging pdf

Peter Jung, Martin Burger, Sven Augustin, 2019, Applied and Numerical Harmonic Analysis.

Spatial Structures in Geographical Economics Mathematical Modeling, Simulation and Inverse Problems

Martin Burger, Vincenzo Capasso, M. Burger, 2009 .

Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators

Martin Burger, Eva-Maria Brinkmann, Joana Sarah Grah, 2018, Journal of Mathematical Imaging and Vision.

Inverse Problems Related to Ion Channel Selectivity

Martin Burger, Robert S. Eisenberg, Heinz W. Engl, 2007, SIAM J. Appl. Math..

A Variational Approach for Sharpening High Dimensional Images

Michael Möller, Martin Burger, Andrea L. Bertozzi, 2012, SIAM J. Imaging Sci..

Stochastic and Deterministic Simulation of Nonisothermal Crystallization of Polymers

Martin Burger, Alessandra Micheletti, 2001 .

Spectral Decompositions Using One-Homogeneous Functionals pdf

Michael Möller, Daniel Cremers, Guy Gilboa, 2016, SIAM J. Imaging Sci..

Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem

Martin Burger, Carsten H. Wolters, Christoph S. Herrmann, 2016, NeuroImage.

Towards dynamic PET reconstruction under flow conditions: Parameter identification in a PDE model

Martin Burger, Ralf Engbers, Louise Reips, 2014, 1411.5143.

Regularizing Newton-Kaczmarz Methods for Nonlinear Ill-Posed Problems

Barbara Kaltenbacher, Martin Burger, M. Burger, 2006, SIAM J. Numer. Anal..

Impact of Physical Noise Modeling on Image Segmentation in Echocardiography

Xiaoyi Jiang, Martin Burger, Patrick Willems, 2012, VCBM.

Solution paths of variational regularization methods for inverse problems

Martin Burger, Leon Bungert, M. Burger, 2018, Inverse Problems.

An adaptive inverse scale space method for compressed sensing

Michael Möller, Stanley Osher, Martin Burger, 2012, Math. Comput..

Instantaneous control of interacting particle systems in the mean-field limit

Martin Burger, Claudia Totzeck, Oliver Tse, 2019, J. Comput. Phys..

Analysis of Tikhonov regularization for function approximation by neural networks

Martin Burger, Andreas Neubauer, A. Neubauer, 2003, Neural Networks.

A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET

Xiaoyi Jiang, Martin Burger, Carsten H. Wolters, 2012, Bildverarbeitung für die Medizin.

Bias Reduction in Variational Regularization

Martin Burger, Julian Rasch, Eva-Maria Brinkmann, 2016, Journal of Mathematical Imaging and Vision.

Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance

Xiaoyi Jiang, Martin Burger, Lars Ruthotto, 2012, MCV.

A total variation based regularizer promoting piecewise-Lipschitz reconstructions pdf

Carola-Bibiane Schönlieb, Martin Burger, Yury Korolev, 2019, SSVM.

Finite Element-Based Level Set Methods for Higher Order Flows

Martin Burger, Axel Voigt, Christina Stöcker, 2008, J. Sci. Comput..

A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration

Stanley Osher, Martin Burger, Xiaoqun Zhang, 2010, J. Sci. Comput..

Regularization Methods for Blind Deconvolution and Blind Source Separation Problems

Otmar Scherzer, Martin Burger, O. Scherzer, 2001, Math. Control. Signals Syst..

Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions pdf

Martin Burger, Leon Bungert, 2021, ArXiv.

A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics pdf

Harald Garcke, Martin Burger, Florian Frank, 2021, SIAM Journal on Applied Mathematics.

Variational Regularization in Inverse Problems and Machine Learning pdf

Martin Burger, M. Burger, 2021, ArXiv.

Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures

Martin Burger, Claudia Totzeck, Oliver Tse, 2019, SIAM J. Control. Optim..

Convex regularization in statistical inverse learning problems pdf

Martin Burger, Tapio Helin, Luca Ratti, 2021, Inverse Problems and Imaging.

Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems

Martin Burger, Veniamin I. Morgenshtern, Protim Bhattacharjee, 2021 .

Marie-Therese Wolfram, Martin Burger, Jan-Frederik Pietschmann, 2021 .

Dynamic optimal transport on networks

Martin Burger, Jan-Frederik Pietschmann, Ina Humpert, 2021, 2101.03415.

Kinetic equations for processes on co-evolving networks

Martin Burger, M. Burger, 2021, Kinetic & Related Models.

Gradient flows and nonlinear power methods for the computation of nonlinear eigenfunctions

Martin Burger, Leon Bungert, M. Burger, 2021, Handbook of Numerical Analysis.

On multi-species diffusion with size exclusion

Katharina Hopf, Martin Burger, 2021 .

A Bregman Learning Framework for Sparse Neural Networks pdf

Martin Burger, Leon Bungert, Daniel Tenbrinck, 2021, ArXiv.

Learning convex regularizers satisfying the variational source condition for inverse problems pdf

Carola-Bibiane Schönlieb, Martin Burger, Subhadip Mukherjee, 2021, ArXiv.

Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis

Martin Burger, Leon Bungert, Dario Zanca, 2021, UAI.

Pattern formation of a nonlocal, anisotropic interaction model

Martin Burger, Carola-Bibiane Schonlieb, Lisa Maria Kreusser, 2016, 1610.08108.

On the asymptotic behavior of a Boltzmann-type price formation model

Marie-Therese Wolfram, Martin Burger, Peter A. Markowich, 2013, 1312.1304.

Discovering Point Sources in Unknown Environments

Martin Burger, Richard Tsai, Nicolay M. Tanushev, 2008 .

MATHEMATICAL MODELLING AND SIMULATION OF NON-ISOTHERMAL CRYSTALLIZATION OF POLYMERS

Martin Burger, Vincenzo Capasso, M. Burger, 2001 .

Individual based and mean-field modeling of direct aggregation

Marie-Therese Wolfram, Martin Burger, Jan Haškovec, 2011, Physica D. Nonlinear phenomena.

A Solver for Dynamic PET Reconstructions based on Forward‐Backward‐Splitting

Martin Burger, Martin Benning, Pia Heins, 2010 .

Infimal convolution regularisation functionals of BV and $\mathrm{L}^{p}$ spaces. Part I: The finite $p$ case

Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, 2015, 1504.01956.

Large noise in variational regularization

Martin Burger, Tapio Helin, Hanne Kekkonen, 2016, Transactions of Mathematics and Its Applications.

Flow characteristics in a crowded transport model

Martin Burger, Jan-Frederik Pietschmann, M. Burger, 2015, 1502.02715.

Locally Sparse Reconstruction Using the $\ell^{1,\infty}$-Norm

Martin Burger, Pia Heins, Michael Moeller, 2014, 1405.5908.

Numerical Methods for Incompressible Flow

Martin Burger, René Pinnau, 2004 .

Error Estimates for Variational Models with Non-Gaussian Noise

Martin Burger, Martin Benning, M. Burger, 2009 .

Optimal Control of Polymer Morphologies

Martin Burger, Vincenzo Capasso, Alessandra Micheletti, 2004 .

Ground States and Singular Vectors of Convex Variational Regularization Methods

Martin Burger, Martin Benning, M. Burger, 2012, 1211.2057.

Balanced growth path solutions of a Boltzmann mean field game model for knowledge growth

Marie-Therese Wolfram, Alexander Lorz, Martin Burger, 2016 .

On an aggregation model with long and short range interactions

Martin Burger, Vincenzo Capasso, Daniela Morale, 2007 .

On/off-state design of semiconductor doping models

Marie-Therese Wolfram, Martin Burger, René Pinnau, 2008 .

Bregman Cost for Non-Gaussian Noise

Yiqiu Dong, Martin Burger, Federica Sciacchitano, 2016, 1608.07483.

A PDE model for bleb formation and interaction with linker proteins

Martin Burger, Jan-Frederik Pietschmann, Philipp Werner, 2019, Transactions of Mathematics and Its Applications.

Identification of doping profiles in semiconductor devices

Martin Burger, Heinz W. Engl, Paola Pietra, 2001 .

Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems

Martin Burger, Tapio Helin, M. Burger, 2014, 1412.5816.

On a Boltzmann-type price formation model

Marie-Therese Wolfram, Martin Burger, Peter Markowich, 2013, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Inverse problems in imaging

Martin Burger, Hendrik Dirks, Jahn Müller, 2013 .

A note on sparse reconstruction methods

Martin Burger, M. Burger, 2008 .

Exact Relaxation for Classes of Minimization Problems with Binary Constraints

Yiqiu Dong, Martin Burger, Michael Hintermuller, 2012, 1210.7507.

On Fokker-Planck equations with In- and Outflow of Mass

Martin Burger, Jan-Frederik Pietschmann, Ina Humpert, 2018, Kinetic & Related Models.

Dynamic inverse problems: modelling—regularization—numerics

Bernadette N. Hahn, Martin Burger, Thomas Schuster, 2018 .

Preface to special issue on joint reconstruction and multi-modality/multi-spectral imaging

Simon R. Arridge, Martin Burger, Matthias J. Ehrhardt, 2020, Inverse Problems.

Iterative total variation schemes for nonlinear inverse problems

Martin Burger, Markus Bachmayr, M. Burger, 2009 .

Risk estimators for choosing regularization parameters in ill-posed problems: Properties and limitations

Holger Dette, Nicolai Bissantz, Martin Burger, 2017, 1701.04970.

Simultaneous reconstruction and segmentation for dynamic SPECT imaging

Martin Burger, Carolin Rossmanith, Xiaoqun Zhang, 2016, 1606.03852.

Controlling a self-organizing system of individuals guided by a few external agents -- particle description and mean-field limit

Martin Burger, Claudia Totzeck, Oliver Tse, 2016, 1610.01325.

ON-/ OFF-STATE DESIGN OF SEMICONDUCTOR DOPING PROFILES ∗

Marie-Therese Wolfram, Martin Burger, René Pinnau, 2008 .

Asymptotic profiles of nonlinear homogeneous evolution equations of gradient flow type

Martin Burger, Leon Bungert, 2019, Journal of Evolution Equations.

Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems

Martin Burger, Tapio Helin, Masoumeh Dashti, 2017, 1705.03286.

Numerical simulation of anisotropic surface diffusion with curvature-dependent energy

Martin Burger, M. Burger, 2005 .

A nonlinear variational method for improved quantification of myocardial blood flow using dynamic H215O PET

Martin Burger, Martin Benning, Klaus Schafers, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

Mass-preserving motion correction of PET: Displacement field vs. spline transformation

Xiaoyi Jiang, Martin Burger, Carsten H. Wolters, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

Reconstruction of short time PET scans using Bregman iterations

Martin Burger, Christoph Brune, Alex Sawatzky, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

Cartoon Extraction Based on Anisotropic Image Classification Vision , Modeling , and Visualization Proceedings

Benjamin Berkels, Martin Rumpf, Martin Burger, 2006 .

An Extension of the Kolmogorov-Avrami Formula to Inhomogeneous Birth-and-Growth Processes

Martin Burger, Vincenzo Capasso, Alessandra Micheletti, 2007 .

ERROR ESTIMATES FOR GENERAL FIDELITIES

Martin Burger, Martin Benning, R. Ramlau, 2011 .

Bregman Distances in Inverse Problems and Partial Differential Equations

Martin Burger, M. Burger, 2015, 1505.05191.

Asymptotic gradient flow structures of a nonlinear Fokker-Planck equation.

Marie-Therese Wolfram, Martin Burger, Maria Bruna, 2017, 1708.07304.

A Globally Convergent Gummel Map for Optimal Dopant Profiling

Martin Burger, René Pinnau, M. Burger, 2009 .

Partial differential equation models in the socio-economic sciences

Martin Burger, Luis Caffarelli, M. Burger, 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Variational method for motion corrected reconstruction with MRI information in positron emission tomography

Martin Burger, Jan Modersitzki, Dirk Mannweiler, 2015, 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Modelling multi-dimensional crystallization of polymers in interaction with heat transfer

Martin Burger, Vincenzo Capasso, M. Burger, 2002 .

The iteratively regularized Gauss–Newton method with convex constraints and applications in 4Pi microscopy

Martin Burger, Thorsten Hohage, T. Hohage, 2011, 1106.5812.

Inverse problems in geographical economics: parameter identification in the spatial Solow model

Martin Burger, Ralf Engbers, Vincenzo Capasso, 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Convergence rates in $\mathbf{\ell^1}$-regularization if the sparsity assumption fails

Martin Burger, Jens Flemming, Bernd Hofmann, 2012 .