Publications

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2019
Elberfeld, T., S. Bazrafkan, J. De Beenhouwer, and J. Sijbers, "Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images", 4th International Conference on Tomography of Materials & Structures, 07/2019.
Six, N., J. De Beenhouwer, and J. Sijbers, "poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT", Optics Express, vol. 27, issue 23, pp. 33427-33435, 2019. PDF icon Download paper (997.08 KB)
Auer, B., J. De Beenhouwer, N. Zeraatkar, P. H. Kuo, L. R. Furenlid, and M. A. King, "Preliminary investigation of attenuation and scatter correction strategies for a next-generation SPECT system dedicated to quantitative clinical brain imaging", IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester, UK, 11/2019.
Sanctorum, J., J. De Beenhouwer, J. Weissenböck, C. Heinzl, J. Kastner, and J. Sijbers, "Simulated grating-based x-ray phase contrast images of CFRP-like objects", 9th Conference on Industrial Computed Tomography, Padova, Italy, pp. 1-8, 2019. PDF icon Download paper (706.73 KB)
Fröhler, B., L. da Cunha Melo, J. Weissenböck, J. Kastner, T. Möller, H-C. Hege, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, et al., "Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (1.07 MB)
Ling, Y-T., S. Cools, J. De Beenhouwer, J. Sijbers, and W. Vandervorst, "A Trajectory Based Bottom-Up Volume Reconstruction Method for Atom Probe Tomography", European Atom Probe Workshop, 2019.
Fröhler, B., T. Elberfeld, T. Möller, J. Weissenböck, J. De Beenhouwer, J. Sijbers, H-C. Hege, J. Kastner, and C. Heinzl, "A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science", Computer Graphics Forum, vol. 38, issue 3, pp. 273-283, 2019.
2020
Frenkel, D., J. De Beenhouwer, and J. Sijbers, "An adaptive probability map for the Discrete Algebraic Reconstruction Technique", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Fröhler, B., T. Elberfeld, T. Möller, H-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, "Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020. PDF icon Download paper (703.79 KB)
Presenti, A., S. Bazrafkan, J. Sijbers, and J. De Beenhouwer, "Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
In Press
Könik, A., B. Auer, J. De Beenhouwer, K. Kalluri, N. Zeraatkar, L. R. Furenlid, and M. A. King, "Primary, scatter, and penetration characterizations of parallel-hole and pinhole collimators for I-123 SPECT", Physics in Medicine & Biology, In Press.

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