Research FociInverse ProblemsMathematical ImagingMedical ImagingMathematical Modelling and Simulation in BiomedicinePartial Differential Equations
ProjectsNonlocal Methods for Arbitrary Data Sources – NoMADS (2018 – 2022)EU-Project Hosted outside the University of Münster: EC H2020 - Marie Skłodowska-Curie Actions - Research and Innovation Staff Exchange | Project Number: 777826Verbundprojekt MED4D: Dynamische Medizinische Bildgebung: Modellierung und Analyse medizinischer Daten für verbesserte Diagnose, Überwachung und Arzneimittelentwicklung – MED4D (2016 – 2020)Participation in Federally Funded Joint Project: Federal Ministry of Research, Technology and Space | Project Number: 05M16PMBEXC 1003 C5 - Whole-Body Imaging of Awake Organisms (2012 – 2019)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence | Project Number: EXC1003/1EXC 1003 A6 - Motion Analysis in Cellular Systems (2012 – 2019)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence | Project Number: EXC1003/1EXC 1003 B2 - Regulation of Vascular Permeability and Leukocyte Extravasation (2012 – 2019)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence | Project Number: EXC1003/1Variational Methods for Dynamic Inverse Problems in the Life Sciences – LifeInverse (2014 – 2018)EU-Project Hosted at University the of Münster: EU FP 7 - ERC Consolidator Grants | Project Number: 615216SPP 1798 - subproject: CoS-MRXI - Compressed sensing for magnetorelaxometry imaging of magnetic nanoparticles – CoS-MRXI (2015 – 2018)Subproject in DFG-Joint Project Hosted outside the University of Münster: DFG - Priority Programme | Project Number: BU 2327/12-1DAAD Exchange Service: PPP Finnland 2017: Bayesian Inverse Problems in Banach Space (2017)Individual Granted Project: German Academic Exchange Service | Project Number: 57348219DAAD Exchange Service: PPP Finnland 2015 - Bayesian Inverse Problems in Banach Space (2015 – 2017)Individual Granted Project: German Academic Exchange Service | Project Number: 57162894Inverse Problems for Drift-Diffusion Equations with Applications to Chemotaxis and Synthetic Nanopores (2015 – 2017)Individual Granted Project: Daimler und Benz Stiftung | Project Number: 32-09/12CRC 656 B02 - PET reconstructions of thin structures and their validation – SFB 656 B02 (2005 – 2017)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research CentreEXC 1003 FF-2014-06 – Analysis of cell-cell interactions during neuronal migration in the developing cortex by live cell imaging and cell shape quantification (2014 – 2016)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence Verbundprojekt 05M2013 - HYPERMATH: Hyperspectral Imaging: mathematische Methoden für Innovationen in der Medizin und Industrie – HYPERMATH (2013 – 2016)Participation in Federally Funded Joint Project: Federal Ministry of Research, Technology and Space | Project Number: 05M13PMCDirekte und Inverse Probleme nichtlinearer Drift-Diffusionsgleichungen (2015 – 2016)Own Resources ProjectFirst Applied Mathematics Symposium Münster "Variational Methods for Dynamics Inverse Problems and Imaging" (2015)Scientific Event: Participation / conference fees Summerschool on Inverse Problems, Münster, 22.-25.09.2015 (2015)Scientific Event: Participation / conference fees "Sparsity constrained inversion with tomographic applications" (2011 – 2013)Individual Granted Project: DFG - Individual Grants Programme | Project Number: BU 2327/6Multiscale simulation of ion transport through biological and synthetic channels (2009 – 2013)Individual Granted Project: VolkswagenStiftung | Project Number: I/83 928SPP 1253 Optimization with Partial Differential Equitations - Optimal control of self-consistent classical and quantum particle systems (2009 – 2012)Subproject in DFG-Joint Project Hosted outside the University of Münster: DFG - Priority Programme | Project Number: 569012Multiscale Methods for l1-type regularizations (2012)Participation in other joint Project: German Academic Exchange ServiceNonlinear mass-preserving registration for magnetic resonance imaging (MRI) and positron emission tomography (PET) (2012)Individual Granted Project: DFG - Individual Grants Programme | Project Number: BU 2327/8-1Regularization with singular energies (2007 – 2011)Individual Granted Project: DFG - Individual Grants Programme | Project Number: BU 2327/2-1Verbundprojekt INVERS: Teilprojekt TV-Regularisierung, Segmentierung und Cartoon-Rekonstruktion in der Nanoskopie (2007 – 2010)Participation in Federally Funded Joint Project: Federal Ministry of Research, Technology and Space | Project Number: 03BUPAH3Computational methods for identifying ischemic heart disease (2008)Participation in other joint Project: German Academic Exchange ServiceCRC 656 PM06 - Nonlinear Variational Model for Improved Quantification of Myocardial Blood Flow using Dynamic H215O-PET (2008)Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research Centre
Articles 2017Haidl, M, Steuwer, M, Dirks, H, Humernbrum, T, and Gorlatch, S. 2017. “Towards Composable GPU Programming: Programming GPUs with Eager Actions and Lazy Views.” in Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, edited by Q Chen and Z Huang. New York, NY: ACM Press. doi: 10.1145/3026937.3026942.Burger, M., Lorz, A., and Wolfram, M. 2017. “Balanced growth path solutions of a Boltzmann mean field game model for knowledge growth.” Kinetic and Related Models 10 (1): 117–140. doi: 10.3934/krm.2017005.Neugebauer, F, Möddel, G, Rampp, S, Burger, M, and Wolters, C. 2017. “The effect of head model simplification on beamformer source localization.” Frontiers in Neuroscience 11 (625). doi: 10.3389/fnins.2017.00625.Berendsen, J., Burger, M., and Pietschmann, J.-F. 2017. “On a cross-diffusion model for multiple species with nonlocal interaction and size exclusion.” Nonlinear Analysis 159.Egger, H., Pietschmann, J.-F., and Schlottbom, M. 2017. “On the uniqueness of nonlinear diffusion coefficients in the presence of lower order terms.” Inverse Problems 33. doi: 10.1088/1361-6420/aa8cae.2016Wagner, S., Lucka, F., Vorwerk, J., Herrmann, C., Nolte, G., Burger, M., and Wolters, C. 2016. “Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem.” NeuroImage 140 (null): 163–173. doi: 10.1016/j.neuroimage.2016.04.005.Wagner, S, Burger, M, and Wolters, CH. 2016. “An optimization approach for well-targeted transcranial direct current stimulation.” SIAM Journal on Applied Mathematics 76 (6): 2154–2174. doi: 10.1137/15M1026481.Haskovec, Jan Markowich Peter, and Perthame, Benoît Schlottbom Matthias. 2016. “Notes on a PDE system for biological network formation.” Nonlinear Analysis: Theory, Methods & Applications null. doi: 10.1016/j.na.2015.12.018.Brinkmann, Eva-Maria, Burger, Martin, Rasch, Julian, and Sutour, Camille. 2016. “Bias-Reduction in Variational Regularization.” Journal of Mathematical Imaging and Vision Special Issue MIA 2016.Mannweiler, D., Suhr, S., Modersitzki, J., and Burger, M. 2016. “Variational method for motion corrected reconstruction with MRI information in positron emission tomography.” in Vol. null of IEEE Nuclear Science Symposium and Medical Imaging Conference Wiley-IEEE Press. doi: 10.1109/NSSMIC.2015.7582045.
Supervised Postdoctoral StudyWolters, Carsten (2008): Finite Element Method based Electro- and Magnetoencephalography Source Analysis in the Human Brain (kumulative Habilitationsschrift)SupervisorBurger, Martin
Supervised Doctoral StudiesFoecke, Janic (2999): Image Reconstruction in MRXISupervisorBurger, MartinFrerking, Lena (2016): Variational Methods for Direct and Indirect Tracking in Dynamic ImagingSupervisorBurger, MartinLucka, Felix (2016): Bayesian Inversion in Biomedical ImagingSupervisorBurger, MartinWagner, Sven (2015): Optimizing tCS and TMS multi-sensor setups using realistic head modelsSupervisorsWolters CHBurger MWagner, Sven (2015): Optimizing tCS and TMS multi-sensor setups using realistic head modelsSupervisorBurger, MartinWagner, Sven (2015): Optimizing tCS and TMS multi-sensor setups us-ing realistic head modelsSupervisorsWolters, CarstenBurger, MartinDirks, Hendrik (2015): Variational Methods for Joint Motion Estimation and Image ReconstructionSupervisorBurger, MartinSuhr, Sebastian (2015): Variational Methods for Combined Image and Motion EstimationSupervisorBurger, MartinLucka, Felix (2015): Bayesian Inversion in Biomedical ImagingSupervisorBurger, MartinLucka, Felix (2015): Bayesian Inversion in Biomedical ImagingSupervisorsBurger, MartinWolters, CarstenHeins, Pia (2015): Reconstruction Using Local Sparsity - A Novel Regularization Technique and an Asymptotic Analysis of Local Sparsity PriorsSupervisorBurger, MartinLanfer, Benjamin (2014): Automatic Generation of Volume Conductor Models of the Human Head for EEG Source AnalysisSupervisorsBurger, MartinWolters, CarstenJan Hegemann (2014): Efficient Evolution Algorithms for Embedded InterfacesSupervisorBurger, MartinMüller, Jahn Philipp (2013): Advanced Image Reconstruction and Denoising: Bregmanized (Higher order) Total Variation and Application in PETSupervisorBurger, MartinFouego Awounkeng, Marcisse (2013): Optimal Control of Transient Drift-Diffusion and Nonlinear Schrödinger-Poisson ProblemsSupervisorBurger, MartinLouise Reips (2013): Parameter Identification in Medical ImagingSupervisorBurger, MartinRuthotto, Lars (2012): Hyperelastic Image Registration - Theory, Numerical Mehods, and ApplicationsSupervisorBurger, MartinMöller, Michael (2012): Multiscale Methods for (Generalized) Sparse Recovery and Applications in High Dimensional Imaging SupervisorBurger, MartinFranek, Marzena (2011): Variational Methods using Transport Metrics and ApplicationsSupervisorBurger, MartinSawatzky, Alex (2011): (Nonlocal) Total Variation in Medical ImagingSupervisorBurger, MartinMeuth, Patrick (2011): Thalamic neurons in silicoSupervisorsBurger, MartinMüller-Olm, MarkusBudde, ThomasBenning, Martin (2011): Singular Regularization of Inverse Problems: Bergman Distances and their Applications to Variational Frameworks with Singular Regularization EnergiesSupervisorBurger, MartinSchlake, Bärbel (2011): Mathematical Models for Particle Transport: Crowded MotionSupervisorBurger, MartinBrune, Christoph (2010): 4D Imaging in Tomography and Optical NanoscopySupervisorBurger, MartinKattrin Arning (2009): Mathematical Modelling and Simulation of Ion ChannelsSupervisorBurger, MartinMarie-Therese Wolfram (2008): Forward and Inverse Solvers for Electrodiffusion SystemsSupervisorBurger, MartinHackl, Benjamin (2006): Shape Variations, Level Set and Phase-field Methods for Perimeter Regularized Geometric Inverse ProblemsSupervisorBurger, Martin