Volumetric Analysis of a Sinter Process in Time. - Oliver Wirjadi; Andreas Jablonski; Katja Schladitz; Michael Nöthe (DAGM-Symposium, 2005)

Measuring Intrinsic Volumes in Digital 3d Images. - Katja Schladitz; Joachim Ohser; Werner Nagel (DGCI, 2006)

Fiber Orientation Estimation from 3D Image Data: Practical Algorithms, Visualization, and Interpretation. - Katharina Robb; Oliver Wirjadi; Katja Schladitz (HIS, 2007)

Fast Estimation of Intrinsic Volumes in 3D Gray Value Images. - Michael Godehardt; Andreas Jablonski; Oliver Wirjadi; Katja Schladitz (ISMM, 2015)

Segmentation of Collagen Fiber Bundles in 3D by Waterfall on Orientations. - Michael Godehardt; Katja Schladitz; Sascha Dietrich; Renate Meyndt; Haiko Schulz (ISMM, 2017)

Variational-based segmentation of bio-pores in tomographic images. - Benjamin Bauer; Xiaohao Cai; Stephan Peth; Katja Schladitz; Gabriele Steidl (Comput. Geosci., 2017)

Detecting Branching Nodes of Multiply Connected 3D Structures. - Xiaoyin Cheng; Sonja Föhst; Claudia Redenbach; Katja Schladitz (ISMM, 2019)

Efficient 3D Erosion Dilation Analysis by Sub-Pixel EDT. - Michael Godehardt; Dennis Mosbach; Diego Roldan; Katja Schladitz (ISMM, 2019)

Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components. - Thomas Baranowski; Dascha Dobrovolskij; Kilian Dremel; Astrid Hölzing; Günter Lohfink; Katja Schladitz; Simon Zabler (CoRR, 2020)

Deep learning for image based shelve inventories. - Oliver Müller; Chiara Fend; Ali Moghiseh; Katja Schladitz; Henrike Stephani; Thomas Weibel (ISIVC, 2021)

An unambiguous cloudiness index for nonwovens. - Michael Godehardt; Ali Moghiseh; Christine Oetjen; Joachim Ohser; Katja Schladitz (CoRR, 2022)

Assessing cloudiness in nonwovens. - Michael Godehardt; Ali Moghiseh; Christine Oetjen; Joachim Ohser; Simon Ringger; Katja Schladitz; Ingo Windschiegel (CoRR, 2022)

A Local Approach for Computing Smooth B-Spline Surfaces for Arbitrary Quadrilateral Base Meshes. - Dennis Mosbach; Katja Schladitz; Bernd Hamann; Hans Hagen (J. Comput. Inf. Sci. Eng., 2022)

Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images. - Tin Barisin; Christian Jung; Franziska Müsebeck; Claudia Redenbach; Katja Schladitz (Pattern Recognit., 2022)

A hybrid quantum image edge detector for the NISQ era. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (Quantum Mach. Intell., 2022)

Improved Anisotropic Gaussian Filters. - Alex Keilmann; Michael Godehardt; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (CoRR, 2023)

Hybrid quantum transfer learning for crack image classification on NISQ hardware. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (CoRR, 2023)

Improved FRQI on superconducting processors and its restrictions in the NISQ era. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (Quantum Inf. Process., 2023)

Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks. - Tin Barisin; Jesús Angulo; Katja Schladitz; Claudia Redenbach (SIAM J. Imaging Sci., 2024)

Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass. - Tin Barisin; Katja Schladitz; Claudia Redenbach (J. Math. Imaging Vis., 2024)

3D image based stochastic micro-structure modelling of foams for simulating elasticity. - Anne Jung; Claudia Redenbach; Katja Schladitz; Sarah Staub (CoRR, 2025)

Simulation of microstructures and machine learning. - Katja Schladitz; Claudia Redenbach; Tin Barisin; Christian Jung; Natascha Jeziorski; Lovro Bosnar; Juraj Fulir; Petra Gospodnetic (CoRR, 2025)

Cracks in concrete. - Tin Barisin; Christian Jung; Anna Nowacka; Claudia Redenbach; Katja Schladitz (CoRR, 2025)

Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning. - Anna Nowacka; Katja Schladitz; Szymon Grzesiak; Matthias Pahn (CoRR, 2025)