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Filters: Author is Jan De Beenhouwer [Clear All Filters]

Conference Paper

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, pp. 3045-3049.

E. Janssens, De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt”, in IEEE International Conference on Image Processing, 2015, pp. 917-921.

J. Renders, De Beenhouwer, J., and Sijbers, J., “Mesh-based reconstruction of dynamic foam images using X-ray CT”, in International Conference on 3D Vision (3DV2021), 2021, pp. 1312-1320.

V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Aerts, P., Dirckx, J. J. J., and Sijbers, J., “A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.

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N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., “Joint reconstruction of attenuation, refraction and dark field X-ray phase contrasts using split Barzilai-Borwein steps”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420O.

N. Six, De Beenhouwer, J., Van Nieuwenhove, V., Vanroose, W., and Sijbers, J., “Joint reconstruction and flat-field estimation using support estimation”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.

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K. Zarei Zefreh, De Beenhouwer, J., Welford, F. M., and Sijbers, J., “Investigation on Effect of scintillator thickness on Afterglow in Indirect X-ray Detectors”, in 6th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2016), 2016.

B. Auer, Zeraatkar, N., De Beenhouwer, J., Kalluri, K., Kuo, P. H., Furenlid, L. R., and King, M. A., “Investigation of a Monte Carlo simulation and an analytic-based approach for modeling the system response for clinical I-123 brain SPECT imaging”, in 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, vol. 11072, pp. 187 – 190.

J. Weissenböck, Fröhler, B., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., Karunakaran, S. Ayalur, Hoeller, H., Kastner, J., and Heinzl, C., “An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.

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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.

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.

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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 .

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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.

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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.

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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.

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.

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.

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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.

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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.

eurocon_2023.pdf (8.52 MB)

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 .

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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.

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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.

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V. Van Nieuwenhove, De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in X-ray computed tomography”, in Optimess conference, 2016, Antwerp.

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.

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.

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