Publications

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Conference Paper
L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., “The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis”, in 31st European Signal Processing Conference, EUSIPCO, 2023.
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
J. Renders, Shafieizargar, B., Verhoye, M., De Beenhouwer, J., den Dekker, A. J., and Sijbers, J., “DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data”, in IEEE International Symposium on Biomedical Imaging, 2023, pp. 1-4.
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., “Discrete tomographic reconstruction from deliberately motion blurred X-ray projections”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
A. Presenti, Sijbers, J., and De Beenhouwer, J., “Dynamic angle selection for few-view X-ray inspection of CAD based objects”, in Proc. SPIE, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019, vol. 11072.
D. Gökbel Keklikoğlu, Francken, N., Huyge, B., Merdan, Z., De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in edge illumination imaging”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
V. Van Nieuwenhove, De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in X-ray computed tomography”, in Optimess conference, 2016, Antwerp.
G. Van Eyndhoven, De Beenhouwer, J., and Sijbers, J., “A dynamic region estimation method for cerebral perfusion CT”, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 331-342.PDF icon Download paper (840.01 KB)
Á. Marinovszki, De Beenhouwer, J., and Sijbers, J., “An efficient CAD projector for X-ray projection based 3D inspection with the ASTRA Toolbox”, in 8th Conference on Industrial Computed Tomography, Wels, Austria, 2018.PDF icon Download paper (364.16 KB)
P. Paramonov, Renders, J., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., “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 .PDF icon Download paper (1.72 MB)
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Enhancing industrial inspection with efficient edge illumination x-ray phase contrast simulations”, in IEEE EUROCON 2023 -20th International Conference on Smart Technologies, Torino, Italy, 2023.PDF icon eurocon_2023.pdf (8.52 MB)
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., “Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.PDF icon Download paper (protected) (1.79 MB)
P. Paramonov, Sanctorum, J. G., Danckaers, F., De Beenhouwer, J., and Sijbers, J., “Exact reconstruction for helical cone-beam X-ray CT using the ASTRA toolbox”, in 10th International Symposium on Digital Industrial Radiology and Computed Tomography, 1 – 3 July 2025 in Paris, France (DIR 2025), 2025, vol. 30(8).PDF icon dir2025-shortpaper-p_paramonov-we3a3.pdf (290.68 KB)
L. F. Alves Pereira, De Beenhouwer, J., Kastner, J., and Sijbers, J., “Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks”, in ICTAI 2020, 2020.PDF icon Download paper (2.5 MB)
J. Merckx, den Dekker, A. J., De Beenhouwer, J., and Sijbers, J., “Fast and efficient tetrahedral volume mesh reconstruction with CAD-ASTRA”, in SPIE Developments in X-Ray Tomography XV, San Diego, USA, 2024, vol. 13152.PDF icon fast_and_efficient_tetrahedral_volume_mesh_reconstruction_with_cad_astra.pdf (575.43 KB)
E. Janssens, Sijbers, J., Dierick, M., and De Beenhouwer, J., “Fast detection of cracks in ultrasonically welded parts by inline X-ray inspection”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
E. Janssens, Senck, S., Heinzl, C., Kastner, J., De Beenhouwer, J., and Sijbers, J., “Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach”, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (345.06 KB)
T. Elberfeld, De Beenhouwer, J., and Sijbers, J., “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.PDF icon Download paper (5.15 MB)
B. Huyge, Jeurissen, B., De Beenhouwer, J., and Sijbers, J., “Fiber orientation estimation by constrained spherical deconvolution of the anisotropic edge illumination x-ray dark field signal”, in SPIE: Developments in X-Ray Tomography XIV, 2022, vol. 12242, p. 122420V .PDF icon Download paper (956.82 KB)
J. Merckx, Sijbers, J., and De Beenhouwer, J., “Fitting a 2D mesh to X-ray measurements”, in 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Stony Brook, 2023.
J. G. Sanctorum, De Samber, B., Paramonov, P., De Beenhouwer, J., and Sijbers, J., “GEO-ASTRA: a toolbox for non-conventional XCT scanning and reconstruction”, in 15th Conference on Industrial Computed Tomography (iCT), 10 - 13 February 2026, Linz, Austria (iCT 2026), e-Journal of Nondestructive Testing, 2026, vol. 31 (3).
P. Paramonov, Sanctorum, J. G., Iuso, D., Sijbers, J., and De Beenhouwer, J., “High-resolution tiled X-ray cone-beam CT using the ASTRA toolbox”, in 13th Conference on Industrial Computed Tomography (iCT) 2024, School of Engineering, Wels Campus, Austria, 2024.PDF icon Download paper (532.89 KB)
J. Deng, Meenaketan, B. Linkoon P., Takalloo, S. Ebrahimi, Chai, Y. Chin, Torfs, T., Braeken, D., De Beenhouwer, J., and Sijbers, J., “In-depth imaging of in-vitro tissue models using electrical impedance tomography”, in iCT 2025 - 14th Conference on Industrial Computed Tomography, 2025, vol. 4 - 7 February.
J. Verstraete, Francken, N., Sijbers, J., and De Beenhouwer, J., “Inline Edge Illumination Computed Tomography: A Simulation Study”, in 2026 IEEE 23rd Mediterranean Electrotechnical Conference (MELECON), Cairo, Egypt, 2026.PDF icon Download paper (8.68 MB)
N. Francken, De Beenhouwer, J., and Sijbers, J., “Inline edge illumination through sample mask misalignment: a proof of concept”, in Proceedings of the 6th International Conference on X-ray and Neutron Phase Imaging with Gratings, Shenzhen, China, 2024.PDF icon inline_edge_misalign_xnpig.pdf (209.25 KB)

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