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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.
A. Presenti, Bazrafkan, S., Sijbers, J., and De Beenhouwer, J., Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
A. Presenti, Sijbers, J., den Dekker, A. J., and De Beenhouwer, J., CAD-based defect inspection with optimal view angle selection based on polychromatic X-ray projection images, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019, pp. 1-5.PDF icon ict2019_full_paper_55.pdf (216.2 KB)
A. Presenti, Sijbers, J., and De Beenhouwer, J., Dynamic few-view X-ray imaging for inspection of CAD-based objects, Expert Systems with Applications, vol. 180, p. 115012, 2021.
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., CNN-based pose estimation from a single X-ray projection for 3D inspection of manufactured objects, in 11th Conference on Industrial Computed Tomography, 2022.
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection, in 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), 2021.