2021
- 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.
- V. Nguyen, Sanctorum, J., Van Wassenbergh, S., Dirckx, J. J. J., Sijbers, J., and De Beenhouwer, J., “Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System”, Journal of Imaging, vol. 7, no. 54, pp. 1-12, 2021.
- E. Nazemi, Six, N., Iuso, D., De Samber, B., Sijbers, J., and De Beenhouwer, J., “Monte-Carlo-Based Estimation of the X-ray Energy Spectrum for CT Artifact Reduction”, Applied Sciences, vol. 11, no. 7, 2021.
- D. Frenkel, De Beenhouwer, J., and Sijbers, J., “Tabu-DART: a dynamic update strategy for the Discrete Algebraic Reconstruction Technique based on Tabu-search ”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
- B. De Samber, Renders, J., Elberfeld, T., Maris, Y., Sanctorum, J., Six, N., Liang, Z., De Beenhouwer, J., and Sijbers, J., “FleXCT: a Flexible X-ray CT scanner with 10 degrees of freedom”, Optics Express, vol. 29, no. 3, pp. 3438-3457, 2021.
2020
- D. Frenkel, De Beenhouwer, J., and Sijbers, J., “An adaptive probability map for the Discrete Algebraic Reconstruction Technique”, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
- 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.
- N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., “Newton-Krylov Methods For Polychromatic X-Ray CT”, in 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 2020.
- Probst, G. M., Hou, Q., Boeckmans, B., Xiao, Y., & Dewulf, W. (2020). Characterization and stability monitoring of X-ray focal spots. CIRP Annals.
- Bellens, S., Vandewalle, P., & Dewulf, W. (2020). Deep learning-based porosity segmentation in X-ray CT measurements of polymer additive manufacturing parts. Procedia CIRP 96, 336-341.
- Kang, R., Probst, G. M., Slaets, P., & Dewulf, W. (2020). Investigation of the impact of various robot properties on a twin Robot-CT system. Nondestructive Testing and Evaluation, 35(3), 276-286.
- Ferrucci, M., Dewulf, W., & Dönmez, A. (2020). Measurement of sample stage error motions in cone-beam X-ray computed tomography instruments by minimization of reprojection errors. Precision Engineering.
- Baldo C.R., Probst, G.M., Dewulf, W. (2020). Process Behavior Charts used to Check the Consistency of CT Instruments. Procedia CIRP 96, 330-335.
- Baldo, C. R., Probst, G. M., & Dewulf, W. (2020). Performance evaluation of an image-based measurement method used to determine the geometric errors of cone-beam CT instruments. Advances in Industrial and Manufacturing Engineering, 1, 100004.
- V. Nguyen,J. De Beenhouwer,J. G. Sanctorum,S. Van Wassenbergh,S. Bazrafkan,J. J. J. Dirckx & J. Sijbers, A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system, Nondestructive Testing and Evaluation 35:3, 2020.
- V. Nguyen and J. D. Beenhouwer and S. Bazrafkan and A. Hoang and S. V. Wassenbergh and J. Sijbers, BeadNet: a network for automated spherical marker detection in radiographs for geometry calibration, The 6th International Conference on Image Formation in X-Ray Computed Tomography, Regensburg, Germany, 2020.
2019
- 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.
- 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.
- Pauwels, R., Cao, W., Wang, B., Xiao, Y., & Dewulf, W. (2019). Exploratory research into reduction of scatter and beam hardening in industrial computed tomography using convolutional neural networks. In 9th International Conference on Industrial Computed Tomography, Location: Padova.
- W. Cao, R. Pauwels, G. Fardell, B. Price and W. Dewulf, "Influencing factors in x-ray spectral estimation of industrial CT using transmission measurements", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
- V. Nguyen, J. De Beenhouwer, J. Sanctorum, S. Van Wassenbergh, P. Aerts, J. J. J. Dirckx, and J. Sijbers, "A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
- Probst, G., Hou, Q., Pauwels, R., Boeckmans, B., Xiao, Y., & Dewulf, W. (2019). Focal spot characterization of an industrial X-ray CT scanner. In Intl. Symp. on Digital Industrial Radiology and Computed Tomography (DIR) 2019.
- Nathanaël Six, Jan De Beenhouwer, and Jan Sijbers, "poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT," Opt. Express 27, 33670-33682 (2019).
2018
- Á. Marinovszki, J. De Beenhouwer, and J. Sijbers, "An efficient CAD projector for X-ray projection based 3D inspection with the ASTRA Toolbox", 8th Conference on Industrial Computed Tomography, Wels, Austria, 2018.
- N. Six, J. De Beenhouwer, V. Van Nieuwenhove, W. Vanroose, and J. Sijbers, "Joint reconstruction and flat-field estimation using support estimation", IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
- N. Six, J. De Beenhouwer, and J. Sijbers, "pDART: Discrete algebraic reconstruction using a polychromatic forward model", The Fifth International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2018.
- Ametova, E., Ferrucci, M., Chilingaryan, S., & Dewulf, W. (2018). Software-based compensation of instrument misalignments for X-ray computed tomography dimensional metrology. Precision Engineering, 54, 233-242.