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ORCIDMathé T. Zeegers
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Journal Articles
- 2022
[j2]Mathé T. Zeegers
, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg:
A tomographic workflow to enable deep learning for X-ray based foreign object detection. Expert Syst. Appl. 206: 117768 (2022)- 2020
- [j1]Mathé T. Zeegers, Daniël Maria Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg:
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning. J. Imaging 6(12): 132 (2020)
Conference and Workshop Papers
- 2018
- [c1]Mathé T. Zeegers, Felix Lucka, Kees Joost Batenburg:
A Multi-channel DART Algorithm. IWCIA 2018: 164-178
Informal and Other Publications
- 2022
- [i3]Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg:
A tomographic workflow to enable deep learning for X-ray based foreign object detection. CoRR abs/2201.12184 (2022) - 2021
- [i2]Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. CoRR abs/2112.11406 (2021) - 2018
- [i1]Mathé T. Zeegers, Felix Lucka, Kees Joost Batenburg:
A Multi-channel DART Algorithm. CoRR abs/1808.09170 (2018)
Coauthor Index
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