Profil Katja Schladitz

Schwerpunkte/Kompetenzen

• 3D Bildanalyse
• Stochastische Geometrie und räumliche Statistik
• Statistische Analyse zufälliger Strukturen
• Synthetische Bilddaten für Maschinelles Lernen

 

Publikationen

Highlightpublikationen

• Barisin, T.; Schladitz, K.; Redenbach, C.:
  Riesz Networks: Scale Invariant Neural Networks in a Single Forward Pass.
  Journal of Mathematical Imaging and Vision, Volume 66, pp. 246–270, 2024.
• Roldán, D.; Redenbach, C.; Schladitz, K.; Kübel, C.; Schlabach, S.:
  Image Quality Evaluation for FIB-SEM Images.
  Journal of Microscopy, 293, 2, pp. 98–117, 2024.
  https://doi.org/10.1111/jmi.13254
• Schladitz, K.; Redenbach, C.; Barisin, T.; Jung, C.; Jeziorski, N.; Bosnar, L.; Fulir, J.; Gospodnetic, P.:
  Simulation of microstructures and machine learning.
  In Proc. CMDS14, Paris, 2023, Springer Proceedings in Mathematics and Statistics, Eds. A. Cherkaev, D. Jeulin, J. Dirrenberger, S. Forest, F. Willot.
• Grzesiak, S.; Barisin. T.; Schladitz, K.; Pahn, M.:
  Analysis of the bond behavior of a GFRP rebar in concrete by in-situ 3D imaging test.
  Materials and Structures, Volume 56 (163), 2023.
• Nogatz, T.; Redenbach, C.;  Schladitz, K.:
  3D Optical Flow for Large CT Data of Materials Microstructures.
  Strain, 58 (3), e12412, 2022.
  
• Barisin, T.; Jung, C.; Müsebeck, F.; Redenbach, C. ; Schladitz, K.:
  Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images.
  Pattern Recognition, 129, 108747, 2022.
• Wirjadi, O.; Schladitz, K.; Easwaran, P.; Ohser, J.:
  Estimating Fibre Direction Distributions of Reinforced Composites from Tomographic Images.
  Image Analysis and Stereology, Volume 35, No. 3, 167-179, (2016).
• Ohser, J.; Schladitz, K.: 3D Images of Materials Structures: Processing and Analysis, (2010).
• Corrections for »3d Images of Materials Structures – Processing and Analysis«, 06.2021

Sammlung der Publikationen von Katja Schladitz in der Fraunhofer-Publica