Participation in the Cluster of Excellence

CiM Principal Investigator
Coordinator Research Area A
Executive Board Member
Scientific Steering Committee Member
CiM-IMPRS Graduate School Member

  • Research Area A.6: Motion Analysis in Cellular Systems
  • Research Area B.2: Regulation of Vascular Permeability and Leukocyte Extravasation
  • Research Area B.4: The Epidermal Barrier in the Inflammatory Response of the Skin
  • Research Area C.5: Whole-Body Imaging of Awake Organisms
  • Project FF-2017-14 – Characterization of cell-environment interactions affecting single-cell motility in vivo (Erez Raz, Martin Burger, Daniel Tenbrinck; project time: 11/2017 - 12/2018)
  • Project FF-2014-06: Analysis of cell-cell interactions during neuronal migration in the developing cortex by live cell imaging and cell shape quantification (Martin Burger, Andreas Püschel, project time: 07/2014 - 06/2016)
© CiM - Peter Grewer

“We reconstruct clinical images from data which otherwise can hardly be interpreted“

With his mathematical algorithms Prof. Martin Burger makes fine images from thousands of pieces of data. These make clinical images from inside a patient more focused – and makes microscopy images easier for scientists to read. Read the interview

CiM Papers

all papers by Martin Burger

2018

Burger M, Dirks H, Schönlieb C-B. A Variational Model for Joint Motion Estimation and Image Reconstruction. SIAM J. Imaging Sci. 2018;11: 94-128. Abstract
Burger M, Düring B, Kreusser LM, Markowich PA, Schönlieb C-B. Pattern formation of a nonlocal, anisotropic interaction model. Math. Models Methods Appl. Sci. 2018;28: 409-451. Abstract
Reips L, Burger M, Engbers R. Towards dynamic PET reconstruction under flow conditions: Parameter identification in a PDE model. Journal of Inverse and Ill-posed Problems 2018;26: 185-200. Abstract

2017

Brinkmann E-M, Burger M, Rasch J, Sutour C. Bias Reduction in Variational Regularization. J Math Imaging Vis 2017;59: 534-566. Abstract
Bruna M, Burger M, Ranetbauer H, Wolfram M-T. Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures. J Nonlinear Sci 2017;27: 687-719. Abstract
Burger M, Elvetun OL, Schlottbom M. Analysis of the Diffuse Domain Method for Second Order Elliptic Boundary Value Problems. Found Comput Math 2017;17: 627-674. Abstract
Grah JS, Harrington JA, Koh SB, Pike JA, Schreiner A, Burger M, Schonlieb C-B, Reichelt S. Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy. Methods 2017;115: 91-99. Abstract
Stocks T, Hillen T, Gong J, Burger M. A stochastic model for the normal tissue complication probability (NTCP) and applicationss. Math Med Biol 2017;34: 469-492. Abstract

2016

Burger M. Bregman Distances in Inverse Problems and Partial Differential Equations. In: Hiriart-Urruty JB., Korytowski A., eds., Advances in Mathematical Modeling, Optimization and Opt 2016;Springer, Cham: 3-33. Abstract
Burger M, Dirks H, Frerking L. On Optical Flow Models for Variational Motion Estimation. In: G.Peyre, C.Schnörr, J.Caillau, T.Haberkorn, eds., Variational Methods, RICAM Series on Computati 2016;RICAM: 226-252. Abstract
Burger M, Papafitsoros K, Papoutsellis E, Schonlieb C-B. Infimal Convolution Regularisation Functionals of BV and [Formula: see text] Spaces: Part I: The Finite [Formula: see text] Case. J Math Imaging Vis 2016;55: 343-369. Abstract
Wagner S, Burger M, Wolters CH. An Optimization Approach for Well-Targeted Transcranial Direct Current Stimulation. SIAM J. Appl. Math. 2016;76: 2154-2174. Abstract
Wagner S, Lucka F, Vorwerk J, Herrmann CS, Nolte G, Burger M, Wolters CH. Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. Neuroimage 2016;140: 163-173. Abstract

2015

Burger M, Elvetun OL, Schlottbom M. Diffuse interface methods for inverse problems: case study for an elliptic Cauchy problem. Inverse Problems 2015;31: 125002. Abstract
Burger M, Esposito T, Zeppieri CI. Second-Order Edge-Penalization in the Ambrosio--Tortorelli functional. Multiscale Model. Simul. 2015;13: 1354-1389. Abstract
Burger M, Modersitzki J, Suhr S. A Nonlinear Variational Approach to Motion-Corrected Reconstruction of Density Images. arXiv 2015: epub. Abstract
Helin T, Burger M. Maximum_a posteriori_probability estimates in infinite-dimensional Bayesian inverse problems. Inverse Problems 2015;31: 085009. Abstract
Schmidt C, Wagner S, Burger M, Rienen U van, Wolters CH. Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target. J Neural Eng 2015;12: 046028. Abstract

2014

Burger M, Lucka F. Maximum_a posteriori_estimates in linear inverse problems with log-concave priors are proper Bayes estimators. Inverse Problems 2014;30: 114004. Abstract
Burger M, Müller J, Papoutsellis E, Schönlieb CB. Total variation regularization in measurement and image space for PET reconstruction. Inverse Probl 2014;30: 105003. Abstract

2013

Benning M, Brune C, Burger M, Müller J. Higher-Order TV Methods - Enhancement via Bregman Iteration. J Sci Comput 2013;54: 269-310. Abstract
Burger M, Dirks H, Müller J. Inverse Problems in Imaging. Rad Ser Comp App 2013;13: 135-180. Abstract
Burger M, Modersitzki J, Ruthotto L. A Hyperelastic Regularization Energy for Image Registration. SIAM J Sci Comput 2013;35: B132-B148. Abstract
Burger M, Osher S. A guide to the TV zoo. In: Burger M, Osher S. Level-Set and PDE-based Reconstruction Methods 2013;Springer: 1-70. Abstract
Burger M, Pietschmann JF, Wolfram MT. Identification of nonlinearities in transport-diffusion models of size exclusion. Inverse Probl Imag 2013;7: 1157-1182. Abstract
Eppelmann U, Gottardo F, Wistuba J, Ehmcke J, Kossack N, Westernstroeer B, Redmann K, Wuebbeling F, Burger M, Tuettelmann F, Kliesch S, Mallidis C. Raman microspectroscopic discrimination of TCam-2 cultures reveals the presence of two sub-populations of cells. Cell Tissue Res 2013;354: 623-632. Abstract
Gigengack F, Ruthotto L, Jiang X, Modersitzki J, Burger M, Hermann S, Schäfers KP. Atlas-Based Whole-Body PET-CT Segmentation using a Passive Contour Distance. Lect Notes Comput Sc 2013;7766: 82-92. Abstract
Sawatzky A, Tenbrinck D, Jiang X, Burger M. A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J Math Imaging Vision 2013;47(3): 179-209. Abstract

2012

Sanchez V, Redmann K, Wistuba J, Wubbeling F, Burger M, Oldenhof H, Wolkers WF, Kliesch S, Schlatt S, Mallidis C. Oxidative DNA damage in human sperm can be detected by Raman microspectroscopy. Fertil Steril 2012;98: 1124-9.e1-3. Abstract