Publications

Export 617 results:
Author Type [ Year(Desc)]
Filters: Author is Jan Sijbers  [Clear All Filters]
2019
Six, N., J. De Beenhouwer, and J. Sijbers, "poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT", Optics Express, vol. 27, issue 23, pp. 33427-33435, 2019. PDF icon Download paper (997.08 KB)
Danckaers, F., T. Huysmans, A. Hallemans, G. De Bruyne, S. Truijen, and J. Sijbers, "Posture normalization of 3D body scans", Ergonomics, vol. 62, issue 6, 2019. PDF icon Download paper (5.03 MB)
Roine, T., B. Jeurissen, D. Perrone, J. Aelterman, W. Philips, J. Sijbers, and A. Leemans, "Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks", Medical Image Analysis, vol. 52, pp. 56-67, 2019. PDF icon Download paper (4.03 MB)
Sanctorum, J., J. De Beenhouwer, J. Weissenböck, C. Heinzl, J. Kastner, and J. Sijbers, "Simulated grating-based x-ray phase contrast images of CFRP-like objects", 9th Conference on Industrial Computed Tomography, Padova, Italy, pp. 1-8, 2019. PDF icon Download paper (706.73 KB)
Beirinckx, Q., B. Jeurissen, M. Verhoye, A J. den Dekker, and J. Sijbers, "Super-resolution T1 mapping with integrated motion compensation in a joint maximum likelihood framework", 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands, vol. 32 (Suppl. 1), no. S14.05: Magn Reson Mater Phy, 2019.
Fröhler, B., L. da Cunha Melo, J. Weissenböck, J. Kastner, T. Möller, H-C. Hege, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, et al., "Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (1.07 MB)
Ling, Y-T., S. Cools, J. De Beenhouwer, J. Sijbers, and W. Vandervorst, "A Trajectory Based Bottom-Up Volume Reconstruction Method for Atom Probe Tomography", European Atom Probe Workshop, 2019.
Scataglini, S., F. Danckaers, R. Haelterman, T. Huysmans, J. Sijbers, and G. Andreoni, "Using 3D Statistical Shape Models for Designing Smart Clothing", Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, Springer International Publishing, pp. 18–27, 2019.
Fröhler, B., T. Elberfeld, T. Möller, J. Weissenböck, J. De Beenhouwer, J. Sijbers, H-C. Hege, J. Kastner, and C. Heinzl, "A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science", Computer Graphics Forum, vol. 38, issue 3, pp. 273-283, 2019.
2020
Frenkel, D., J. De Beenhouwer, and J. Sijbers, "An adaptive probability map for the Discrete Algebraic Reconstruction Technique", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Fröhler, B., T. Elberfeld, T. Möller, H-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, "Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020. PDF icon Download paper (703.79 KB)
Peeters, T., J. Vleugels, S. Verwulgen, F. Danckaers, T. Huysmans, J. Sijbers, and G. De Bruyne, "A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling", Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping, Cham, Springer International Publishing, pp. 464–470, 2020.
Presenti, A., S. Bazrafkan, J. Sijbers, and J. De Beenhouwer, "Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Keustermans, W., T. Huysmans, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "The effect of nasal shape on the thermal conditioning of inhaled air: Using clinical tomographic data to build a large-scale statistical shape model", Computers in Biology and Medicine, vol. 117, 2020.
Beirinckx, Q., G. Ramos-Llordén, B. Jeurissen, D. H. J. Poot, P. M. Parizel, M. Verhoye, J. Sijbers, and A J. den Dekker, "Joint Maximum Likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study", Fundamenta Informaticae, vol. 172, pp. 105–128, 2020.
Booth, B. G., J. Sijbers, and J. De Beenhouwer, "A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants", Scientific Reports, vol. 10, issue 661, 2020.

Pages