Katja Schladitz
Scholar

Katja Schladitz

Google Scholar ID: TlMC7QkAAAAJ
Fraunhofer ITWM, Kaiserslautern, Image Processing
3D image analysis3D image processingmicrostructure modellingstochastic geometryspatial statistics
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Citations & Impact
All-time
Citations
1,446
 
H-index
20
 
i10-index
40
 
Publications
20
 
Co-authors
0
 
Contact
Emailkatja.schladitz@itwm.fraunhofer.deTwitterOpen ↗LinkedInOpen ↗
Publications
3 items
Continuum Models and Discrete Systems
Springer Proceedings in Mathematics & Statistics · 2025
Cited
0
Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
2025
Cited
0
Statistical Machine Learning for Engineering with Applications
Lecture Notes in Statistics · 2025
Cited
0
Resume (English only)
Academic Achievements
  • Involved in multiple projects including but not limited to:
  • - AI for wood species identification
  • - Developing deep learning algorithms for 3D reconstruction of foams
  • - Applications in industrial quality control
  • - Participating in intelligent image analysis to improve humanitarian aid efficiency
Research Experience
  • Serves as a researcher at Fraunhofer ITWM, focusing on developing new methods and technologies for industrial image analysis.
Background
  • Works in the fields of image processing, data analysis, and machine learning.
Co-authors
0 total
Co-authors: 0 (list not available)