Publications

Export 158 results:
Author Type [ Year(Desc)]
Filters: Author is Jan De Beenhouwer  [Clear All Filters]
2024
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., “Joint multi-contrast CT for edge illumination X-ray phase contrast imaging using split Barzilai-Borwein steps”, Optics Express, vol. 32, no. 2, pp. 1135-1150, 2024.PDF icon Download paper (13.42 MB)
A. - T. Nguyen, Renders, J., Iuso, D., Maris, Y., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., “MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)”. arXiv.org e-Print archive, 2024.PDF icon siam_mirt.pdf (2.85 MB)
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., “PACS: Projection-driven with Adaptive CADs X-ray Scatter compensation for additive manufacturing inspection”, Precision Engineering, vol. 90, pp. 108-121, 2024.PDF icon Download paper (4.28 MB)
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., “Practical multi-mesh registration for few-view poly-chromatic X-ray inspection”, Journal of Non-destructive Testing, vol. 43, 2024.PDF icon Download paper (6.94 MB)
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., “Reconstruction with rigid motion correction technique in CT imaging: A simulation and application study”, Workshop on Scientific Computing and Applications. Vietnam Institute for Advanced Study in Mathematics (VIASM), Hanoi, Vietnam, 2024.PDF icon wsca2024.pdf (110.08 KB)PDF icon wsca2024_slides.pdf (2.75 MB)
B. Huyge, Renders, J., De Beenhouwer, J., and Sijbers, J., “X-ray image reconstruction for continuous acquisition with accelerated rotation”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
B. Huyge, Renders, J., Sanctorum, J., De Beenhouwer, J., and Sijbers, J., “X-ray image reconstruction for continuous acquisitions with a generalized motion model”, Optics Express, vol. 32, no. 22, pp. 39192-39207, 2024.
In Press
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., “Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models”, Applied Intelligence, In Press.

Pages