Publications
, “Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images”, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018. Download paper (636.09 KB)
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 Download paper (636.09 KB), “Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study”, Journal of Nondestructive Evaluation, vol. 37, no. 62, pp. 1573-4862, 2018.
, “Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction”, in 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019, vol. 11072. Download paper (5.15 MB)
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 Download paper (5.15 MB), “Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images”, 4th International Conference on Tomography of Materials & Structures. 2019.
, “A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science”, Computer Graphics Forum, vol. 38, no. 3, pp. 273-283, 2019.
, “Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres”, Nondestructive Testing and Evaluation, vol. 35, no. 3, pp. 328-341, 2020.
, “FleXCT: a Flexible X-ray CT scanner with 10 degrees of freedom”, Optics Express, vol. 29, no. 3, pp. 3438-3457, 2021. Download paper (14.25 MB)
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 Download paper (14.25 MB), “cuPARE: Parametric Reconstruction of Curved Fibres from Glass fibre-reinforced Composites”, Nondestructive Testing and Evaluation, 2022. Download paper (9.66 MB)
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 Download paper (9.66 MB), “Efficient X-ray projection of triangular meshes based on ray tracing and rasterization”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420W . Download paper (1.72 MB)
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 Download paper (1.72 MB), “CAD-ASTRA: A versatile and efficient mesh projector for X-ray tomography with the ASTRA-toolbox”, Optics Express, vol. 32, no. 3, pp. 3425-3439, 2024. Download paper (11.29 MB)
 Download paper (11.29 MB)
 Download paper (11.29 MB)
 Download paper (11.29 MB)

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