• A. Keilmann, M. Godehardt, A. Moghiseh, C. Redenbach, K. Schladitz (2024)
  Improved Anisotropic Gaussian Filters.
  Image Analysis & Stereology, accepted for publication
  [arxiv]
   
• T. Barisin, K. Schladitz, C. Redenbach (2024)
  Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass.
  Journal of Mathematical Imaging and Vision
  [arxiv][www]


• T. Barisin, J. Angulo, K. Schladitz, C. Redenbach (2024)
  Riesz feature representation: scale equivariant scattering network for classification tasks.
  SIAM Journal on Imaging Sciences, accepted for publication
  [arxiv]


• D. Roldán, C. Redenbach, K. Schladitz, C. Kübel, S. Schlabach (2024)
  Image Quality Evaluation for FIB-SEM Images.
  Journal of Microscopy, 293, 2, 98–117.
  [preprint][www]
   
• C. Hirsch, J. Krebs, C. Redenbach (2024)
  Persistent homology based goodness-of-fit tests for spatial tessellations.
  Journal of Nonparametric Statistics, 36:1, 39-59.
  [arxiv][www]
   
• C. Jung, C. Redenbach (2023)
  Crack Modeling via Minimum-Weight Surfaces in 3d Voronoi Diagrams.
  Journal of Mathematics in Industry, 13, 10.
  [arxiv][www]  


• A. Geng, A. Moghiseh, C. Redenbach, K. Schladitz (2023)
  Quantum image processing on real superconducting and trapped-ion based quantum computers.
  tm-Technisches Messen, vol. 90, no. 7-8, 2023, pp. 445-454.
  [www]
   
• A. Geng, A. Moghiseh, C. Redenbach, K. Schladitz (2023)
  Improved FRQI on Superconducting Processors and its Restrictions in the NISQ Era.
  Quantum Inf Process,22, 104.
  [arxiv][www]
   
• T. Rajala, C. Redenbach, A. Särkkä, M. Sormani (2022)
  Tests for Isotropy in Spatial Point Patterns - A Comparison of Statistical Indices.
  Spatial Statistics, 52, 100716.
  [preprint][www]
   
• J. Hertrich, A. Houdard, C. Redenbach (2022)
  Wasserstein Patch Prior for Image Superresolution.
  IEEE Transactions on Computational Imaging, 1-12.
  [arxiv][www]
   
• K. Hauch, K. Maryamh, C. Redenbach, J. Schnell (2022)
  Predicting the Tensile Behaviour of Ultra-High Performance Fibre-Reinforced Concrete from Single Fibre Pull-Out Tests.
  Materials, 15 (14), 5085.
  [www]
   
• A. Liebscher, C. Redenbach (2022)
  Elastic Properties of Laguerre Approximations of Random Foams.
  International Journal of Solids and Structures, 252, 111722.
  [preprint][www]
   
• A. Geng, A. Moghiseh, C. Redenbach, K. Schladitz (2022)
  A Hybrid Quantum Image Edge Detector for the NISQ Era.
  Quantum Machine Intelligence, 4, 15.
  [arxiv][www]
   
• T. Barisin, C. Jung, F. Müsebeck, C. Redenbach, K. Schladitz (2022)
  Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images.
  Pattern Recognition, 129, 108747.
  [arxiv][www]
   
• T. Barisin, K. Schladitz, C. Redenbach, M. Godehardt (2022)
  Adaptive Morphological Framework for 3D Directional Filtering.
  Image Analysis & Stereology, 41 (1), 41-55.
  [www]
   
• T. Nogatz, C. Redenbach, K. Schladitz (2022)
  3D Optical Flow for Large CT Data of Materials Microstructures.
  Strain. 58 (3), e12412.
  [www]
   
• S. Föhst, S. Osterroth, F. Arnold, C. Redenbach (2022)
  Influence of geometry modifications on the permeability of open-cell foams.
  AIChE Journal. 68 (2), e17446.
  [www]
   
• K. Maryamh, K. Hauch, C. Redenbach, J. Schnell (2022)
  Influence of specimen size on the fibre geometry and tensile strength of ultra-high-performance fibre-reinforced concrete.
  Structural Concrete. 23 (2), 1239-1252.
  [www]
   
• M. Kroll, S. L. Karstens, M. Cronau, A. Höltzel, S. Schlabach, N. Nobel, C. Redenbach, B. Roling, U. Tallarek (2021)
  Three-Phase Reconstruction Reveals that Carbon-Binder Domain Limits Ion Transport in Lithium-Ion Batteries.
  Batteries & Supercaps. 4 (8), 1363-1373.
  [www]
   
• A. Geng, A. Moghiseh, C. Redenbach, K. Schladitz (2021)
  Comparing Optimization Methods for Deep Learning In Image Processing Applications.
  tm-Technisches Messen. 88 (7-8), 443-453.
  [www] 
   
• D. Roldán, C. Redenbach, K. Schladitz, M. Klingele, M. Godehardt (2021)
  Reconstructing porous structures from FIB-SEM image data: optimizing sampling scheme and image processing.
  Ultramicroscopy. 226, 113291.
  [preprint][www]
   
• W. L. Wagner, S. Föhst, J. Hock, Y. O. Kim, Y. Popov, D. Schuppan, K. Schladitz, C. Redenbach, M. Ackermann (2021)
  3D analysis algorithm of microvasculature in murine liver fibrosis models using synchrotron radiation-based microtomography.
  Angiogenesis. 24, 57–65.
  [www]
   
• C. Fend, A. Moghiseh, C. Redenbach, K. Schladitz (2021)
  Reconstruction of highly porous structures from FIB-SEM using a deep neural network trained on synthetic images.
  Journal of Microscopy. 281 (1), 16-27.
  [www]
   
• K. Maryamh, K. Hauch, C. Redenbach, J. Schnell (2021)
  Influence of production parameters on the fibre geometry and the mechanical behaviour of ultra high performance fibre-reinforced concrete.
  Structural Concrete. 22 (1), 361-375.
  [www]
   
• J. Höller, J. Niedermeyer, C. Redenbach, N. Ecke, A. K. Schlarb, H. Andrä, P. Klein (2020)
  The effective thermal conductivity of double-reinforced composites.
  Heat and Mass Transfer. 56, 2847-2857.
  [www]
   
• M. Sormani, C. Redenbach, A. Särkkä, T. Rajala (2020)
  Second order analysis of geometric anisotropic point processes revisited.
  Spatial Statistics. 38, 100456.
  [preprint][www]
   
• D. Dresvyanskiy, T. Karaseva, V. Makogin, S. Mitrofanov, C. Redenbach, E. Spodarev (2020)
  Detecting anomalies in fibre systems using 3-dimensional image data.
  Statistics and Computing. 30, 817–837.
  [arxiv][www]
   
• A. Jung, T. Bleistein, M. Reis, X. Cheng, C. Redenbach, S. Diebels (2020)
  Multiscale microsphere modelling of open-cell metal foams enriched by statistical analysis of geometric parameters.
  Mechanics of Materials. 142, 103295.
  [www]
   
• T. Prill, C. Redenbach, D. Roldan, M. Godehardt, K. Schladitz, S. Höhn, K. Sempf (2020)
  Simulating permeabilities based on 3D image data of a layered nano-porous membrane.
  International Journal of Solids and Structures. 184, 3-13.
  [preprint][www]
   
• T. Ott, D. Roldan, C. Redenbach, K. Schladitz, M. Godehardt, S. Höhn (2019)
  3D structural comparison of tantalum GLAD thin films by FIB-SEM.
  Journal of Sensors and Sensor Systems. 8, 305–315.
  [www]
   
• K. Losch, S. Schuff, F. Balle, T. Beck, C. Redenbach (2019)
  A Stochastic Microstructure Model for Particle Reinforced Aluminium Matrix Composites.
  Journal of Microscopy. 273 (2), 115-126.
  [www] 
   
• T. A. Rajala, C. Redenbach, A. Särkkä, M. Sormani (2018)
  A review on anisotropy analysis of spatial point patterns.
  Spatial Statistics. 28, 141-168.
  [arxiv][pdf][www]
   
• U. Kelly, S. Richter, C. Redenbach, K. Schladitz, C. Scheuerlein, F. Wolf, P. Ebermann, F. Lackner, D. Schoerling, D. Meinel (2018)
  Nb3Sn wire shape and cross sectional area inhomogeneity in Rutherford cables.
  IEEE Transactions on Applied Superconductivity. 28, (4), 4800705.
  [arxiv][www]
   
• H. Häbel, T. Rajala, C. Boissier, M. Marucci, K. Schladitz, C. Redenbach, A. Särkkä (2017)
  A three-dimensional anisotropic point process characterization for pharmaceutical coatings.
  Spatial Statistics. 22, (2), 306-320.
  [www]
   
• C. Redenbach, J. Ohser, A. Moghiseh (2016)
  Second-order characteristics of the edge system of random tessellations and the PPI value of foams.
  Methodology and Computing in Applied Probability. 18, (1), 59-79.
  [www]
   
• J. Franke, C. Redenbach, N. Zhang (2016)
  On a mixture model for directional data on the sphere.
  Scandinavian Journal of Statistics. 43, (1), 139-155.
  [doi][pdf]
   
• P. Easwaran, M. J. Lehmann, O. Wirjadi, T. Prill, S. Didas, C. Redenbach (2016)
  Automatic fiber thickness measurement in SEM images validated using synthetic data.
  Chemical Engineering & Technology. 39, (3), 395-402.
  [doi] 
   
• T. A. Rajala, A. Särkkä, C. Redenbach, M. Sormani (2016)
  Estimating geometric anisotropy in spatial point patterns.
  Spatial Statistics. 15, 139-155.
  [preprint][www]
   
• I. Vecchio, C. Redenbach, K. Schladitz, A.M. Kraynik (2016)
  Improved models of solid foams based on soap froth.
  Computational Materials Science. 120, 60-69.
  [doi][preprint][www]
   
• T. A. Rajala, C. Redenbach, A. Särkkä, M. Sormani (2016)
  Variational Bayes Approach for Classification of Points in Superpositions of Point Processes.
  Spatial Statistics. 15, 85-99.
  [preprint][www]
   
• M. Kuhlmann, C. Redenbach (2015)
  Estimation of fibre length distributions from fibre endpoints.
  Scandinavian Journal of Statistics. 42, (4), 1010-1022.
  [doi][www]
   
• J. Kampf, A.-L. Schlachter, C. Redenbach, A. Liebscher (2015)
  Segmentation, statistical analysis, and modelling of the wall system in ceramic foams.
  Materials Characterization. 99, 38-46.
  [doi][www]
   
• C. Redenbach, A. Särkkä, M. Sormani (2015)
  Classification of Points in Superpositions of Strauss and Poisson Processes.
  Spatial Statistics. 12, 81-95.
  [doi][preprint][www]
   
• S. Föhst, W. Wagner, M. Ackermann, C. Redenbach, K. Schladitz, O. Wirjadi, A. B. Ysasi, S. J. Mentzer, M. A. Konerding (2015)
  3D Image Analytical Detection of Intussusceptive Pillars in Murine Lung.
  Journal of Microscopy. 260, (3), 326-337.
  [doi] 
   
• M. Beermann and C. Redenbach and C. Thäle (2014)
  Asymptotic shape of small cells.
  Mathematische Nachrichten. 287, (7), 737-747.
  [arxiv][pdf][www]
   
• I. Vecchio and C. Redenbach and K. Schladitz (2014)
  Angles in Laguerre tessellation models for solid foams.
  Computational Materials Science. 83, 171-184.
  [www]
   
• J. Ohser and C. Redenbach and A. Moghiseh (2014)
  The PPI value of open foams and its estimation by image analysis.
  International Journal of Materials Research. 105, 671-678.
  [doi][www] 
   
• C. Redenbach, K. Schladitz, I. Vecchio, O. Wirjadi (2014)
  Image analysis for microstructures based on stochastic models.
  GAMM-Mitteilungen. 37, (2), 281-305.
  [doi] 
   
• M. Geißendörfer, A. Liebscher, C. Proppe, C. Redenbach, D. Schwarzer (2014)
  Stochastic multiscale modeling of metal foams.
  Probabilistic Engineering Mechanics. 37, 132-137.
  [doi] 
   
• A. Liebscher and C. Proppe and C. Redenbach and D. Schwarzer (2013)
  Stochastic Multiscale Modeling of Metal Foams.
  Procedia IUTAM. 6, 87-96.
  [doi] 
   
• C. Redenbach, A. Särkkä (2013)
  Parameter estimation for growth interaction processes using spatio-temporal information.
  Computational Statistics and Data Analysis. 57, (1), 672–683.
  [www] 
   
• A. Liebscher, C. Redenbach (2013)
  Statistical Analysis of the Local Strut Thickness of Open Cell Foams.
  Image Analysis & Stereology. 32, (1), 1-12.
  [www] 
   
• J. Lautensack, A. Rack, C. Redenbach, S. Zabler, H. Fischer, H.-G. Gräber (2013)
  In situ demineralisation of human enamel studied by synchrotron-based X-ray microtomography - A pilot-study.
  Micron. 44, 404-409.
  [www] 
   
• C. Redenbach, C. Thäle (2013)
  On the Arrangement of Cells in planar STIT and Poisson Line Tessellations.
  Methodology and Computing in Applied Probability. 15, (3), 643-654.
  [arxiv][doi][pdf]
   
• C. Redenbach, C. Thäle (2013)
  Second-order comparison of three fundamental tessellation models.
  Statistics. 47, (2), 237-257.
  [doi] 
   
• K. Schladitz, C. Redenbach, T. Sych, M. Godehardt (2012)
  Model based estimation of geometric characteristics of open foams.
  Methodology and Computing in Applied Probability. 14, (4), 1011-1032.
  [doi] 
   
• C. Redenbach, R. Ohser-Wiedemann, R. Löffler, T. Bernthaler, A. Nagel (2012)
  Characterization of Powders using Micro Computed Tomography.
  Particle & Particle Systems Characterization. 28, (1-2), 3-12.
  [www]
   
• M. Hörig, C. Redenbach (2012)
  The Maximum Volume Hard Subset Model for Poisson Processes:Simulation Aspects.
  Journal of Statistical Computation and Simulation. 82, (1), 107-121.
  [www] 
   
• A. Liebscher, C. Proppe, C. Redenbach, D. Schwarzer (2012)
  Uncertainty Quantification for Metal Foam Structures by Means of Image Analysis.
  Probabilistic Engineering Mechanics. 28, 143-151.
  [www]
   
• C. Redenbach, I. Shklyar, H. Andrä (2012)
  Laguerre tessellations for elastic stiffness simulations of closed foams with strongly varying cell sizes.
  International Journal of Engineering Science. 50, 70-78.
  [www] 
   
• A. Liebscher, C. Redenbach (2012)
  3D Image Analysis and Stochastic Modelling of Open Foams.
  International Journal of Materials Research. 103, (2), 155-161.
  [www] 
   
• C. Redenbach, A. Rack, K. Schladitz, O. Wirjadi, M. Godehardt (2012)
  Beyond imaging: on the quantitative analysis of tomographic volume data.
  International Journal of Materials Research. 103, (2), 217-227.
  [www] 
   
• C. Redenbach (2011)
  On the dilated facets of a Poisson-Voronoi tessellation.
  Image Analysis & Stereology. 30, 31-38.
  [www] 
   
• C.Redenbach, O. Wirjadi, S. Rief, A. Wiegmann (2011)
  Modelling a ceramic foam for filtration simulation.
  Advanced Engineering Materials. 13, (3), 171-177.
  [www] 
   
• O. Weber and A. Rack and C. Redenbach and M. Schulz and O. Wirjadi (2011)
  Micropowder injection molding: investigation of powder-binder separation using synchrotron-based microtomography and 3D image analysis.
  Journal of Materials Science. 46, 3568-3573.
  [www] 
   
• C. Redenbach and I. Vecchio (2011)
  Statistical analysis and stochastic modelling of fibre composites.
  Composites Science and Technology. 71, 107-112.
  [www] 
   
• J. Ohser and C. Redenbach and K. Schladitz (2009)
  Mesh free estimation of the structure model index.
  Image Analysis & Stereology. 28, 101-107.
  [www] 
   
• C. Redenbach and A. Särkkä and J. Freitag and K. Schladitz (2009)
  Anisotropy analysis of pressed point processes.
  Advances in Statistical Analysis. 93, (3), 237-261.
  [www] 
   
• C. Redenbach (2009)
  Microstructure Models for Cellular Materials.
  Computational Materials Science. 44, (4), 1397-1407.
  [www] 
   
• C. Lautensack and S. Zuyev (2008)
  Random Laguerre Tessellations.
  Advances in Applied Probability. 40, (3), 630-650.
  [www] 
   
• C. Lautensack (2008)
  Fitting three-dimensional Laguerre tessellations to foam structures.
  Journal of Applied Statistics. 35, (9), 985-995.
  [www] 
   
• C. Lautensack and M. Gietzsch and M. Godehardt and K. Schladitz (2008)
  Modelling a ceramic foam using locally adaptable morphology.
  Journal of Microscopy. 230, (3), 396-404.
  [www]
   
• C. Lautensack and T. Sych (2006)
  3d image analysis of open foams using random tessellations.
  Image Analysis & Stereology. 25, (87-93),
  [www]

• A. Nowacka, C. Jung, K. Schladitz, C. Redenbach, M. Pahn (2024)
  Deep learning models for crack segmentation in 3d images of concrete trained on semi-synthetic data.
  13th Conference on Industrial Computed Tomography (iCT 2024), Wels.
  [www][pdf]

• C. Jung, A. Nowacka, T. Barisin, D. Meinel, O. Paetsch, S. Grzesiak, M. Salamon, K. Schladitz, C. Redenbach, M. Pahn (2023)
  3d Imaging and Analysis of Cracks in Loaded Concrete Samples.
  12th Conference on Industrial Computed Tomography (iCT 2023), Fürth.
  [www][pdf] 

• T. Nogatz, C. Redenbach, K. Schladitz (2023)
  Ex and In Situ Tests of Materials: From Design to Materials Parameters Via Motion Estimation.
  12th Conference on Industrial Computed Tomography (iCT 2023), Fürth.
  [pdf]
   
• A. Geng, A. Moghiseh,  K. Schladitz, C. Redenbach (2022)
  An Introduction to Quantum Image Processing on Real Superconducting Quantum Computers.
  Längle, Thomas [Hrsg.]; Heizmann, Michael [Hrsg.], Forum Bildverarbeitung 2022, Image Processing Forum 2022, 139-150, KIT, Scientific Publishing, Karlsruhe.
  [pdf]
   
• T. Barisin, C. Jung, A. Nowacka, K. Schladitz, C. Redenbach (2022)
  Crack Segmentation in 3d Concrete Images: Perspectives and Challenges.
  International Symposium Non-Destructive Testing in Civil Engineering (NDTCE 2022), 16-18 Aug 2022, Zurich, Switzerland.
  [www]
   
• K. Hauch, C. Redenbach (2022)
  Mathematical Morphology on Directional Data.
  25th International Conference on Information Fusion (FUSION) 2022, Linköping, Sweden.
  [www]
   
• C. Jung, F. Müsebeck, T. Barisin, K. Schladitz, C. Redenbach, M. Kiesche, M. Pahn (2022)
  Towards Automatic Crack Segmentation in 3d Concrete Images.
  11th Conference on Industrial Computed Tomography (iCT) 2022, Wels, Austria.
  [www]
   
• A. Geng, A. Moghiseh, K. Schladitz, C. Redenbach (2020)
  Comparing Optimization Methods for Deep Learning at the Example of Artistic Style Transfer.
  Längle, Thomas [Hrsg.]; Heizmann, Michael [Hrsg.], Forum Bildverarbeitung 2020, KIT Scientific Publishing, Karlsruhe.
  [www][pdf]
   
• F. Müsebeck, A. Moghiseh, C. Redenbach, K. Schladitz (2020)
  Minimal Paths for 3D Crack Detection in Concrete.
  Längle, Thomas [Hrsg.]; Heizmann, Michael [Hrsg.], Forum Bildverarbeitung 2020, KIT Scientific Publishing, Karlsruhe.
  [www][pdf]
   
• C. Fend, A. Moghiseh, C. Redenbach, K. Schladitz (2019).
  Machine Learning for Reconstruction of Highly Porous Structures from FIB-SEM Nano-Tomographic Data.
  In 5th ML4CPS Conference - Machine Learning for Cyber Physical Systems, LNCS.
  ML4CPS, Lemgo, Germany, Berlin, Heidelberg, New York: Springer.
   
• X. Cheng, S. Föhst, C. Redenbach, K. Schladitz (2019)
  Detecting Branching Nodes of Multiply Connected 3D Structures.
  Proceedings of the 14th International Symposium on Mathematical Morphology, Saarbrücken.
  [pdf]
   
• D. Dresvyanskiy, T. Karaseva, S. Mitrofanov, C. Redenbach, S. Schwaar, V. Makogin, E. Spodarev (2018)
  Application of Clustering Methods to Anomaly Detection in Fibrous Media.
  Proceedings of the 7th International Workshop on Mathematical Modells and their Applications.
  [www]
   
• A. E. Liebscher and C. Redenbach (2016).
  Optimal Cell Reconstruction of 3D Foam Images.
  Proceedings of the Swedish Symposium on Image Analysis. Uppsala.
  [www]
   
• A. E. Liebscher, A. M. Kraynik, C. Redenbach (2016).
  Why Laguerre Tessellations are good Approximations of Foams.
  Proceedings of the 24th International Congress of Theoretical and Applied Mechanics. Montreal.
  [www]
   
• P. Easwaran, F. Hahn, M. J. Lehmann, C. Redenbach, K. Schladitz (2016).
  Representative Domain Size Study on Simulated 3D Fiber Systems.
  Proceedings of FILTECH. Filtech Exhibitions Germany. Cologne.
  [pdf] 
   
• P. Easwaran, M. J. Lehmann, O. Wirjadi, T. Prill, S. Didas, C. Redenbach (2015).
  Automatic Fiber Thickness Measurement in SEM Images Validated Using Synthetic Data.
  Proceedings of FILTECH. Filtech Exhibitions Germany: Cologne.
   
• A. Liebscher, H. Andrä, M. Kabel, D. Merkert, C. Redenbach (2015).
  Modelling Open Cell Foams Based on 3D Image Data.
  Proceedings of the 20th International Conference on Composite Materials. Copenhagen.
  [www]
   
• H. Andrä, M. Gurka, M. Kabel, S. Nissle, C. Redenbach, K. Schladitz, O. Wirjadi (2014).
  Geometric and Mechanical Modeling of Fiber-Reinforced Composites.
  Proceedings of the 2nd International Congress on 3D Materials Science (3DMS). John Wiley & Sons: 35-40.
  [pdf]
   
• J. Kampf and C. Redenbach (2013).
  Analysis and Modelling of the Microstructure of Ceramic Foams.
  Proceedings of FILTECH 2013. Wiesbaden.
  [pdf]
   
• I. Vecchio and K. Schladitz and C. Redenbach (2012).
  Fitting Laguerre Tessellations to the Microstructure of Cellular Materials.
  International Conference on 3D Materials Science 2012. Seven Spring Resort, USA.
   
• A. Liebscher and C. Redenbach (2012).
  Modelling the Local Strut Thickness of Open Foams Based on 3D Image Data.
  Proceedings Cellular Materials. Deutsche Gesellschaft für Materialkunde: Dresden.
  [pdf]
   
• I. Vecchio and K. Schladitz and C. Redenbach (2012).
  Laguerre Tessellations: Fitting a Model to Rigid Closed-Cell Polymer Foams.
  Proceedings Cellular Materials. Deutsche Gesellschaft für Materialkunde: Dresden.
  [pdf]
   
• A. Liebscher and C. Proppe and C. Redenbach and D. Schwarzer (2011).
  Prediction of Uncertainties in Metal Foam Structures by Means of Image Based Geometry Analysis.
  ASEM 11 plus World Congress on Advances in Structural Engineering and Mechanics. Seoul.
   
• C. Redenbach (2009).
  Modelling Foam Structures Using Random Tessellations.
  Stereology and Image Analysis. Ecs10: Proceeding of the 10th European Conference of ISS.. ESCULAPIO Pub. Co.: Bologna.
  [pdf]
   
• C. Lautensack and M. Kabel (2009).
  Modelling and Simulation of Acoustic Absorption of Open Cell Metal Foams.
  Cellular Metals for Structural and Functional Applications. 271-276.
  [pdf]
   
• R. Malten and C. Lautensack (2009).
  Modelling Sintered Aluminum Fibers for Simulation of Heat Transfer.
  Cellular Metals for Structural and Functional Applications. 290-295.
   
• C. Lautensack (2008).
  A review on analytic formulae for Poisson Laguerre Tessellations.
  Proceedings of the 5th International Symposium on Voronoi Diagrams in Science and Engineering (ISVD 2008). 6-18.
  [pdf]
   
• C. Lautensack and T. Sych (2008).
  A Random Weaire Phelan Foam.
  Proceedings of the VIII. International Conference on Stereology and Image Analysis in Materials Science STERMAT. Zakopane.
  [pdf]
   
• C. Lautensack and H. Ewe and P. Klein and T. Sych (2008).
  3D Characterization, Modeling and Effective Thermal Conductivity of Open Aluminium Foams.
  Aluminium Alloys, Their Physical and Mechanical Properties. 1368-1374.
  [pdf]
   
• C. Lautensack and K. Schladitz and A. Särkkä (2006).
  Modeling the Microstructure of Sintered Copper.
  Proceedings of the 6th International Conference on Stereology, Spatial Statistics and Stochastic Geometry. Prague.
  [pdf]
   
• C. Lautensack, T. Sych (2005).
  3d Image Analysis of Foams Using Random Tessellations.
  Proceedings of the 9th European Congress on Stereology and Image Analysis and 7th STERMAT International Conference on Stereology and Image Analysis in Materials Science.
  [pdf] 

• A. Jung, C. Redenbach, K. Schladitz, S. Staub (2022)
  3D image based stochastic micro-structure modelling of foams for simulating elasticity.
  Research in Mathematics of Materials Science - Association for Women in Mathematics Series.
  [www]
   
• M. Klatt, G. Last, K. Mecke, C. Redenbach, F. Schaller, G. Schröder-Turk (2017).
  Cell shape analysis of random tessellations based on Minkowski tensors.
  Tensor Valuations and their Applications in Stochastic Geometry and Imaging Lecture Notes in Mathematics 2177.
  [www]
   
• C. Redenbach, A. Liebscher (2015).
  Random Tessellations and their Application to the Modelling of Cellular Materials.
  Stochastic Geometry, Spatial Statistics and Random Fields - Models and Algorithms, Lecture Notes in Mathematics 2120.
  [www] 
   
• C. Redenbach and A. Liebscher (2010).
  Computertomographie als Basis für virtuelles Materialdesign.
  Leitfaden zur industriellen Röntgentechnik - Zerstörungsfreie Prüfung mit Bildverarbeitung. 51-54.

• N. Jeziorski, C. Redenbach
  Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling.
  [arxiv]
   
• E. Grosjean, A. Keilmann, H. Jäger, S. Mohanan, C. Redenbach, B. Simeon, C. Surulescu, L. de Roy, A. Seitz, G. Teixeira, M. Dauner, C. Linti, G. Schmidt
  An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis.
  [arxiv]
   
• N. Rottmayer, C. Redenbach, F. Fahrbach
  Efficient stripe artefact removal by a variational method: application to light-sheet microscopy, FIB-SEM and remote sensing images.
  [arxiv]
   
• K. Hauch, C. Redenbach
  Mathematical morphology on directional data.
  [arxiv]
   
• T. Nogatz, C. Redenbach, K. Schladitz
  MorphFlow: Estimating Motion in In Situ Tests of Concrete.
  [arxiv]
   
• A. Geng, A. Moghiseh, C. Redenbach, K. Schladitz
  Hybrid quantum transfer learning for crack image classification on NISQ hardware.
  [arxiv]
   
• C. Jung, C. Redenbach
  An Analytical Representation of the 2d Generalized Balanced Power Diagram.
  [arxiv]
   
• K. Hauch, C. Redenbach
  Quantiles and Depth for Directional Data from Elliptically Symmetric Distributions.
  [arxiv]
   
• F. Safavimanesh, C. Redenbach
  A Comparison of Functional Summary Statistics to Detect Anisotropy of Three-Dimensional Point Patterns.
  [arxiv]

C. Jung, C. Redenbach, K. Schladitz (2024)
VoroCrack3d: An annotated data set of 3d CT concrete images with synthetic crack structures.
Zenodo.
[www]

C. Lautensack (2007).
Random Laguerre Tessellations.
Universität Karlsruhe Weiler bei Bingen
[pdf]