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ORCIDSophia Bethany Coban
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Journal Articles
- 2022
[j5]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)- 2021
- [j4]Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten:
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7(3): 44 (2021) - 2020
- [j3]Sophia Bethany Coban, Felix Lucka, Willem Jan Palenstijn, Denis Van Loo, Kees Joost Batenburg:
Explorative Imaging and Its Implementation at the FleX-ray Laboratory. J. Imaging 6(4): 18 (2020) - [j2]Nicola Viganò, Felix Lucka, Ombeline de La Rochefoucauld, Sophia Bethany Coban, Robert van Liere, Marta Fajardo, Philippe Zeitoun, Kees Joost Batenburg:
Emulation of X-ray Light-Field Cameras. J. Imaging 6(12): 138 (2020) - [j1]A. Kostenko, Willem Jan Palenstijn, Sophia Bethany Coban, Allard A. Hendriksen, Robert van Liere, Kees Joost Batenburg:
Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11: 100364 (2020)
Informal and Other Publications
- 2023
- [i4]Maximilian B. Kiss, Sophia Bethany Coban, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning. CoRR abs/2306.05907 (2023) - 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) - 2020
- [i2]Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg:
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning. CoRR abs/2012.13346 (2020) - 2019
- [i1]Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg:
A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. CoRR abs/1905.04787 (2019)
Coauthor Index
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