Profile of Henrike Stephani

Fields of Activity / Competences

• 2-D Image Processing
• Machine Learning/Deep Learning
• Artificial Intelligence
• Hyperspectral Image Processing

Publications

Major Publications

• Stephani, H.; Weibel, T.; Rösch, R.; Moghiseh, A.:
  Machine Learning for Inline Surface Inspection Systems: Challenges, Approaches, and Application Example.
  In: Franke, J., Schöbel, A. (eds) Statistical Machine Learning for Engineering with Applications. Lecture Notes in Statistics, vol 227, 2024.
  Springer, Cham. https://doi.org/10.1007/978-3-031-66253-9_2
• Nieradzik, L.; Stephani, H.; Sieburg-Rockel, J.; Helmling, S.; Olbrich, A. and Keuper, J.:
  Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry.
  In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024).
• Nieradzik, L.; Sieburg-Rockel, J.; Helmling, S.; Keuper, J.; Weibel, T.; Olbrich, A. and Stephani, H.:
  Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning.
  arXiv preprint arXiv:2307.09588. (2023)
• Stephani, H.; Weibel, T.; Rösch, R.; Moghiseh, A.:
  Challenges and approaches when realizing online surface inspection systems with deep learning algorithms.
  Discover Data: Volume 1, Article number: 3 (2023)
• Müller, O.; Fend, C.; Moghiseh, A.; Schladitz, K.; Stephani, H.; Weibel, T.:
  Deep learning for image based shelve inventories.
  10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020: Saint-Etienne, France, 7–9 April 2021. Piscataway, NJ: IEEE, 2021.
• Lichti, M.; Cheng, X.; Stephani, H.; Bart, H.-J.:
  Online Detection of Ellipsoidal Bubbles by an Innovative Optical Approach. 
  Chemical Engineering and Technology Vol. 42 (2), pp.506-511, (2019)
• Müller, O.; Moghiseh, A.; Stephani, H.; Rottmayer, N.; Huang, F.:
  Application of deep learning for crack segmentation on concrete surface.
  Forum Bildverarbeitung 2018: 29. und 30. November 2018, Karlsruhe
  KIT Scientific Publishing, (2018)
• Stephani, H.; Weibel, T.; Moghiseh, A.:
  Model-based learning in surface inspection.
  Automatisierungstechnik: AT 65, Nr.6, S.406-415, (2017)