Jan Sijbers

2019
J. Van Houtte, K. Stanković, B. G. Booth, F. Danckaers, V. Bertrand, F. Verstreken, J. Sijbers, and T. Huysmans, "An Articulating Statistical Shape Model of the Human Hand", Advances in Human Factors in Simulation and Modeling, Cham, Springer International Publishing, pp. 433–445, 2019.
F. Danckaers, S. Scataglini, R. Haelterman, D. Van Tiggelen, T. Huysmans, and J. Sijbers, "Automatic Generation of Statistical Shape Models in Motion", Advances in Human Factors in Simulation and Modeling, Cham, Springer International Publishing, pp. 170–178, 2019.
A. Presenti, J. Sijbers, A J. den Dekker, and J. De Beenhouwer, "CAD-based defect inspection with optimal ROI selection based on polychromatic X-ray projection images", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download abstract (169.65 KB)
A. E. Buikema, A J. den Dekker, and J. Sijbers, "Effect of diffusion time dependence on parameter estimation in the clinical time frame: a simulation study using PGSE", 11th Annual Meeting of the ISMRM Benelux Chapter, Leiden, the Netherlands, 2019.
E. Janssens, J. Sijbers, M. Dierick, and J. De Beenhouwer, "Fast detection of cracks in ultrasonically welded parts by inline X-ray inspection", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
J. Weissenböck, B. Fröhler, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, S. Ayalur Karunakaran, H. Hoeller, J. Kastner, and C. Heinzl, "An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves", 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.
W. Keustermans, T. Huysmans, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "Matlab® toolbox for semi-automatic segmentation of the human nasal cavity based on active shape modeling", Computers in Biology and Medicine, vol. 105, pp. 27-38, 2019.
S. Scataglini, F. Danckaers, R. Haelterman, T. Huysmans, and J. Sijbers, "Moving Statistical Body Shape Models Using Blender", Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, Springer International Publishing, pp. 28–38, 2019.
T. Huysmans, F. Danckaers, J. Vleugels, D. Lacko, G. De Bruyne, S. Verwulgen, and J. Sijbers, "Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling", Advances in Human Factors in Simulation and Modeling, Cham, Springer International Publishing, pp. 179–189, 2019.
T. Roine, 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)
J. Sanctorum, 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, 2019.
B. Fröhler, 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.
S. Scataglini, 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.
2018
G. Ramos-Llordén, Q. Beirinckx, A J. den Dekker, and J. Sijbers, "Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation", 26th Annual Meeting of the ISMRM, Paris, France, 2018.
K. J. Batenburg, F. De Carlo, L. Mancini, and J. Sijbers, "Advanced X-ray tomography: experiment, modeling, and algorithms", Measurement Science and Technology, vol. 29, issue 8, pp. 080101, 2018.
E. Janssens, "Advances in X-ray reconstruction algorithms for limited data problems in conventional and non-conventional projection geometries", Physics, vol. PhD in Sciences / Physics, 2018.
J. Van Houtte, K. Stanković, B. G. Booth, F. Danckaers, V. Bertrand, F. Verstreken, J. Sijbers, and T. Huysmans, "An Articulating Statistical Shape Model of the Human Hand", International Conference on Applied Human Factors and Ergonomics, Orlando, Florida, US, Springer, pp. 433–445, 2018. PDF icon Download paper (1.19 MB)
A. Van Ombergen, S. Jillings, B. Jeurissen, E. Tomilovskaya, M. Rühl, A. Rumshiskaya, I. Nosikova, L. Litvinova, J. Annen, E. V. Pechenkova, et al., "Brain Tissue–Volume Changes in Cosmonauts", New England Journal of Medicine, vol. 379, issue 17, pp. 1678 - 1680, 2018.
M. Van Dael, P. Verboven, A. Zanella, J. Sijbers, and B. Nicolai, "Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography", Postharvest Biology and Technology, vol. 148, pp. 218-227, 2018.
F. Danckaers, D. Lacko, S. Verwulgen, G. De Bruyne, T. Huysmans, and J. Sijbers, "A Combined Statistical Shape Model of the Scalp and Skull of the Human Head", 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), vol. 591, Los Angeles, California, USA, Springer, pp. 538-548, 2018.
J. Weissenböck, M. Arikan, D. Salaberger, J. Kastner, J. De Beenhouwer, J. Sijbers, S. Rauchenzauner, T. Raab-Wernig, E. Gröller, and C. Heinzl, "Comparative Visualization of Orientation Tensors in Fiber-Reinforced Polymers", 8th Conference on Industrial Computed Tomography, Wels, Austria , 2018. PDF icon Download paper (1.03 MB)
J. Praet, N. Manyakov, L. Muchene, Z. Mai, V. Terzopoulos, S. De Backer, A. Torremans, P. J. Guns, T. Van De Casteele, A. Bottelbergs, et al., "Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology.", Alzheimer's Research & Therapy , vol. 10, issue 1, pp. 1-16, 2018.

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