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Conference Paper
J. Sijbers and Van Dyck, D., Efficient algorithm for the computation of 3D Fourier descriptors, in 1st International Symposium on 3D Data Processing Visualization and Transmission, Padua, Italy, 2002, pp. 640-643.
R. Pinho, Sijbers, J., and Vos, W., Efficient approaches to intrathoracic airway tree segmentations, in Proceedings of the Biomedical Engineering IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, vol. 2, pp. 151-154.PDF icon Download paper (515.86 KB)
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.PDF icon Download paper (364.16 KB)
W. Van Aarle, Crombecq, K., Couckuyt, I., Batenburg, K. J., and Sijbers, J., Efficient parameter estimation for discrete tomography using adaptive modeling, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2011.PDF icon Download full paper (853.19 KB)
A. Leemans, De Backer, S., Sijbers, J., Vandervliet, E., and Parizel, P. M., End point clustering for diffusion tensor white matter fiber bundle tractography, in 22th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Basle, Switzerland, 2005, pp. 129-130.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., Entropy-based coregistration for DT-MR images using an efficient tensor shape preserving reorientation strategy, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 227.
J. Sijbers, den Dekker, A. J., Van Dyck, D., and Raman, E., Estimation of signal and noise from Rician distributed data, in Proceedings of the IASTED International Conference on Signal Processing and Communications, Canary Islands, Spain, 1998, pp. 140-143.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., Estimation of the noise variance from the background histogram mode of an MR image, in Proceedings of the 25th Benelux Meeting on Systems and Control, Heeze, The Netherlands, 2006.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., Estimation of the noise variance from the background histogram mode of an MR image, in Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, 2006, pp. 159-162.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Estimation of Uncertainty in Constrained Spherical Deconvolution Fiber Orientations, in 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, 2008, pp. 907-910.
F. Danckaers, Huysmans, T., Lacko, D., and Sijbers, J., Evaluation of 3D Body Shape Predictions Based on Features, in 6th International Conference on 3D Body Scanning Technologies, Lugano, Switserland, 2015, pp. 258-265.PDF icon 27danckaers.pdf (2.55 MB)
W. Van Hecke, Leemans, A., D'Agostino, E., De Backer, S., Vandervliet, E., Parizel, P. M., and Sijbers, J., The evaluation of a population based diffusion tensor image atlas using a ground truth method, in Proceedings of SPIE Medical Imaging, San Diego, USA, 2008, vol. 6914.
S. van der Maar, Batenburg, K. J., and Sijbers, J., Experiences with Cell-BE and GPU for tomography, in Embedded COmputer Systems: Architectures, Modeling, and Simulation - 9th International Workshop, SAMOS 2009 - Proceedings, 2009, pp. 298-307.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., Experimental Evaluation of Synthetic DT-MRI Models, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, pp. 40-41.
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., An exploration of spatial similarities in temporal noise spectra in fMRI measurements, in Proceedings of SPIE Medical Imaging 2008, San Diego, CA, USA, 2008, vol. 6914, p. 69142.
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.PDF icon Download paper (2.5 MB)
R. Hanel, Batenburg, K. J., and Sijbers, J., Fast bias field estimation by localized Lloyd-Max quantization, in SPIE Medical Imaging, San Diego, CA, USA, 2008.PDF icon Download full paper (297.69 KB)
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.
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.PDF icon Download paper (345.06 KB)
D. Pelt, Sijbers, J., and Batenburg, K. J., Fast Tomographic Reconstruction from Highly Limited Data Using Artificial Neural Networks, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 109-112.PDF icon Download paper (2.15 MB)
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Fast X-ray Computed Tomography via Image Completion, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
T. Dhollander, Veraart, J., Van Hecke, W., Maes, F., Sunaert, S., Sijbers, J., and Suetens, P., Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space, in MICCAI 2011: Medical Image Computing and Computer-Assisted Intervention, 2011, pp. 166-173.
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.PDF icon Download paper (5.15 MB)
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Fiber Tracking on the 'Fiber Cup Phantom' using Constrained Spherical Deconvolution, in MICCAI workshop on Diffusion Modelling and the Fiber Cup (DMFC'09), London, United Kingdom, 2009.
L. Plantagie, Van Aarle, W., Batenburg, K. J., and Sijbers, J., Filtered backprojection using algebraic filters; Application to biomedical micro-CT data, in International Symposium on Biomedical Imaging (ISBI), 2015, pp. 1596-1599.

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