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2025
- A Fast Deep Incremental Angle Refinement Model for Limited-Angle CT Reconstruction. Xingyu Liu; G.Q. Yang; Guangpu Yang; Ammar Alsaffar; Faizan Ahmad; Steffen Kieß and Sven Simon. e-Journal of Nondestructive Testing 30, (August 2025), pp. . DOI: https://doi.org/10.58286/31451
- A Neural Network for Denoising Multispectral Tomography Data at BM18 of the European Synchrotron Radiation Facility. Peter Gänz; Steffen Kieß; Jajnabalkya Guhathakurta; Paul Tafforeau; Andreas Balles; A. Hölzing; Simon Zabler and Sven Simon. e-Journal of Nondestructive Testing 30, (August 2025), pp. . DOI: https://doi.org/10.58286/31424
- Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric. Faizan Ahmad; Ahmed Baraka; César Cardona-Marin; Steffen Kieß; Dominik Wolfschlaeger; Robert Schmitt and Sven Simon. e-Journal of Nondestructive Testing 30, (February 2025), pp. . DOI: https://doi.org/10.58286/30723
- Impact of JPEG compression on the metrological characteristics of industrial CT data. Steffen Kieß; Robin Trostorf; Hiếu Trần; Jajnabalkya Guhathakurta; Sven Simon and Ulrich Neuschaefer-Rube. e-Journal of Nondestructive Testing 30, (February 2025), pp. . DOI: https://doi.org/10.58286/30716
- Deep Incremental Angle Refinement Model for Limited-Angle CT Reconstruction - A Case Study on Concrete Specimens. Xingyu Liu; Guangpu Yang; Ammar Alsaffar; Faizan Ahmad; Steffen Kieß and Sven Simon. e-Journal of Nondestructive Testing 30, (February 2025), pp. . DOI: https://doi.org/10.58286/30719
- A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines. Steffen Kieß; Thomas Lang; Tomas Sauer; A. Michael Stock; Andrey Chernov; Yipeng Sun; Andreas Maier; Tomáš Faragó; Alexey Ershov; Gabriel Lefloch; Guilherme Silva; Tilo Baumbach; Simon Zabler; A. Hölzing; Kilian Dremel; Ali Durmaz; Akhil Thomas; Ingo Manke; Nikolay Kardjilov and Sven Simon. e-Journal of Nondestructive Testing 30, (February 2025), pp. . DOI: https://doi.org/10.58286/30717
2024
- Artifact-robust Object Segmentation Using Thresholding Based on Binarized Image Object Analysis (TB2IOA) in X-ray Computed Tomography. Xingyu Liu; Charles Clark; Steffen Kieß; Ammar Alsaffar; Hiếu Trần; Jajnabalkya Guhathakurta and Sven Simon. e-Journal of Nondestructive Testing 29, (March 2024), pp. . DOI: https://doi.org/10.58286/29243
- Denoising of CT Projections Exploiting Spectral and Angular Information for Multispectral Computed Tomography. Peter Gänz; Guangpu Yang; Charles Clark; Steffen Kieß; Tanja Pienkny; Andreas Balles; A. Hölzing; Paul Tafforeau and Sven Simon. e-Journal of Nondestructive Testing 29, (March 2024), pp. . DOI: https://doi.org/10.58286/29262
- Visualization of 4D Tomography TB Datasets on Standard Computers with 128GB RAM. Steffen Kieß; Peter Gänz; Guangpu Yang; Xingyu Liu; César Cardona-Marin and Sven Simon. Cape Town, 2024.
- Multispectral CT with Classical Algorithms and Neural Network Denoising. Peter Gänz; Steffen Kieß; Jajnabalkya Guhathakurta; Paul Tafforeau; Andreas Balles; A Hölzing; Simon Zabler and Sven Simon. Cape Town, 2024.
2023
- Single Shot X-ray Speckle Tracking Phase Contrast Imaging with a Low Brilliance Lab Source. Peter Gänz; Steffen Kieß and Sven Simon. e-Journal of Nondestructive Testing 28, (March 2023), pp. . DOI: https://doi.org/10.58286/27709
2022
- Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model. Ammar Alsaffar; Steffen Kieß; Kaicong Sun and Sven Simon. 2022. DOI: https://doi.org/10.48550/ARXIV.2201.13191
2019
- Spatial Resolution Enhancement Based on Detector Displacement for Computed Tomography. Kaicong Sun; Steffen Kieß and Sven Simon. In Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019), Padova, Italy, 2019, pp. 1–8.
2018
- Efficient Data Structures for the Fast 3D Reconstruction of Voxel Volumes with Inhomogeneous Spatial Resolution. Benjamin Betz; Steffen Kieß; Michael Krumm; Gunnar Knuppe; Tsegaye Eshete and Sven Simon. In 8th Conference on Industrial Computed Tomography (iCT), Wels, Austria, 2018.
2017
- Contactless characterization of electric structures with simulation models based on CT data. C. Jauch; J. Denecke; J. Kuehnle; I. Effenberger; S. Kiess and S. Simon. In 7th Conference on Industrial Computed Tomography, 2017, pp. 1–7.
2015
- Signal Integrity Model Extraction Based on Computed Tomography Scans—Analysis of the Required Voxel Resolution. Jürgen Hillebrand; Steffen Kieß; Jajnabalkya Guhathakurta and Sven Simon. IEEE Transactions on Electromagnetic Compatibility 57, (2015), pp. 847–857. DOI: https://doi.org/10.1109/TEMC.2015.2435995
2012
- S-parameter extraction of bond wires based on EM field simulations of computed tomography-generated 3D CAD models. Jürgen Hillebrand; Steffen Kieß; Marek Wróblewski and Sven Simon. In 2012 IEEE 16th Workshop on Signal and Power Integrity (SPI), 2012, pp. 39–42. DOI: https://doi.org/10.1109/SaPIW.2012.6222907
- On the Estimation of Numerical Error Bounds in Linear Algebra Based on Discrete Stochastic Arithmetic. W. Li; S. Simon and S. Kiess. Journal: Applied Numerical Mathematics 62, (2012), pp. 536–555.
2011
- CAD model reconstruction of solder balls for the computationally efficient electromagnetic field simulation. Jürgen Hillebrand; Steffen Kieß; Yu Wang; Marek Wróblewski and Sven Simon. In 2011 IEEE 20th Conference on Electrical Performance of Electronic Packaging and Systems, 2011, pp. 279–282. DOI: https://doi.org/10.1109/EPEPS.2011.6100246
- S-parameter extraction of passive sub-circuits using computed tomography scans and measured substrate material parameters. Jürgen Hillebrand; Steffen Kieß; Marek Wróblewski and Sven Simon. In 78th ARFTG Microwave Measurement Conference, 2011, pp. 1–6. DOI: https://doi.org/10.1109/ARFTG78.2011.6183869
- In-process optical characterization method for sub-100-nm nanostructures. S. Kieß; M. Z. Shaikh; M. Grégoire; T. Bringewat; S. Simon; A. Tausendfreund; M. Zimmermann and G. Goch. In 2011 IEEE International Instrumentation and Measurement Technology Conference, 2011, pp. 1–4. DOI: https://doi.org/10.1109/IMTC.2011.5944117