Profil Katja Schladitz


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




  • Barisin, T.; Schladitz, K.; Redenbach, C.:
    Riesz Networks: Scale Invariant Neural Networks in a Single Forward Pass. (2024)
    Journal of Mathematical Imaging and Vision, accepted for publication
  • 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.
  • 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.
  • Geng, A.; Moghiseh, A.; Redenbach, C.; Schladitz, K.:
    Quantum image processing on real superconducting and trapped-ion based quantum computers.
    De Gruyter Oldenbourg, published online: May 11, 2023.
  • 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.
  • Fend, C.; Moghiseh, A.; Redenbach, C.; Schladitz, K.:
    Reconstruction of highly porous structures from FIB-SEM using a deep neural network trained on synthetic images.
    Journal of Microscopy, 281, Nr. 1, pp. 16-27, 2021.
  • 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).

Sammlung der Publikationen von Katja Schladitz in der Fraunhofer-Publica