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Conference Paper
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., The ASTRA Tomography Toolbox, in 13th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2013, 2013, vol. 4, pp. 1139-1145.PDF icon cmmse2013.pdf (174.19 KB)
R. Pinho, Tournoy, K. G., Gosselin, R., and Sijbers, J., Assessment of Tracheal Stenosis Using Active Shape Models of Healthy Tracheas: A Surface Registration Study, in Proceedings of 2nd International Workshop on Pulmonary Image Analysis, 2009, pp. 125-136.
J. Van Houtte, Stanković, K., Booth, B. G., Danckaers, F., Bertrand, V., Verstreken, F., Sijbers, J., and Huysmans, T., An Articulating Statistical Shape Model of the Human Hand, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 433–445.
S. Verwulgen, Lacko, D., De Bruyne, G., Danckaers, F., Christis, N., Sijbers, J., and Huysmans, T., Anthropometrics 2.0: Enrichment of Classical Anthropometry through Multidisciplinary Collaboration, in 6th International Conference on Engineering & Product Design Education., 2014.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., Analytic derivatives of scaling motion-compensated projection operators for dynamic computed tomography, in e-Journal of Nondestructive Testing, 2022, vol. 27 (3), pp. 1-5.
B. Huyge, Sanctorum, J., Six, N., De Beenhouwer, J., and Sijbers, J., Analysis of flat fields in edge illumination phase contrast imaging, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 1310-1313.PDF icon Download paper (368.24 KB)
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Alternative grating designs for cone-beam edge illumination X-ray phase contrast imaging, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, vol. 12242, p. 122420Z.
F. Bleichrodt, De Beenhouwer, J., Sijbers, J., and Batenburg, K. J., An Alignment Method for Fan Beam Tomography, in International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 103-107.
J. Sijbers, Ceulemans, T., and Van Dyck, D., Algorithm for the computation of 3D Fourier descriptors, in 16th International Conference on Pattern Recognition, Quebec, Canada, 2002, pp. 790-793.PDF icon Download paper (665.86 KB)
S. van der Maar, Batenburg, K. J., and Sijbers, J., Algebraic tomographic reconstruction on the GPU, in Liège Image Days 2008: Medical Imaging, 2008.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., An Algebraic Reconstruction Technique for the Study of Local Structural Changes during CT, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 137-141.
V. Van Nieuwenhove, De Beenhouwer, J., De Schryver, T., Van Hoorebeke, L., and Sijbers, J., Affine deformation correction in cone beam Computed Tomography, in Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Newport, Rhode Island, USA, 2015, pp. 182-185.
J. Renders, Sijbers, J., and De Beenhouwer, J., Adjoint pairs of image warping operators for motion modeling in 4D-CT, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (617.11 KB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., Adaptive Zooming in X-ray Computed Tomography, in 1st International Conference on Tomography of Materials and Structures (ICTMS), Ghent, Belgium, 2013, pp. 5-8.PDF icon Download full paper (633.7 KB)PDF icon Download poster (1.18 MB)
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, pp. 1-6.
J. Rajan, Van Audekerke, J., Van Der Linden, A., Verhoye, M., and Sijbers, J., An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images, in IEEE International Symposium on Biomedical Imaging (ISBI), 2012.PDF icon Download full paper (307.46 KB)
J. Sijbers, den Dekker, A. J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Adaptive anisotropic noise filtering for magnitude MR data, in Proceedings of SPIE Medical Imaging, San Diego, USA, 1999, vol. 3661, pp. 1418-1425.
P. Paramonov, Lumbeeck, L. - P., De Beenhouwer, J., and Sijbers, J., Accurate terahertz simulation with ray tracing incorporating beam shape and refraction, in IEEE ICIP , 2020, pp. 3035-3039.PDF icon Download paper (190.62 KB)
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F, San Diego, CA, United States, 2022.
W. Van Aarle, Van Gompel, G., Batenburg, K. J., Van de Casteele, E., and Sijbers, J., A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams, in The first international conference on image formation in X-ray computed tomography, 2010, pp. 45-48.PDF icon Download full paper (816.87 KB)
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., 3D THz Tomography Incorporating the Beam Shape, in 2021 OSA Imaging and Applied Optics Congress, 2021.
K. J. Batenburg, Palenstijn, W. J., and Sijbers, J., 3D imaging of semiconductor components by discrete laminography, in Stress induced phenomena and reliability in 3D microelectronics: AIP Conference Proceedings, 2014, vol. 1601, pp. 168-179.PDF icon Download paper (1.81 MB)
J. Van Houtte, Gao, X., Sijbers, J., and Zheng, G., 2D/3D registration with a statistical deformation model prior using deep learning, in the IEEE International Conference on Biomedical and Health Informatics (BHI'21) , 2021, pp. 1-4.PDF icon Download paper (1.41 MB)
Conference Abstract
J. Sanctorum, Janssens, E., den Dekker, A. J., Senck, S., Heinzl, C., De Beenhouwer, J., and Sijbers, J., A workflow to reconstruct grating-based X-ray phase contrast CT images: application to CFRP samples, 4th Conference on X-ray and Neutron Phase Imaging with Gratings. Zürich, Switzerland, pp. 139-140, 2017.PDF icon Download poster (1008.67 KB)PDF icon Download abstract (294.87 KB)
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “The weighted linear least squares for estimating diffusion (kurtosis) tensors: Revisited, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.

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