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Conference Paper
K. J. Batenburg, Van Aarle, W., and Sijbers, J., Grey Level Estimation for Discrete Tomography, in Discrete Geometry for Computer Imaging, 2009, vol. 5810, pp. 517-529.
A. Leemans, Sijbers, J., and Parizel, P. M., A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., A Geometric Color Scheme for Visualizing Diffusion Tensor Magnetic Resonance Fiber Pathways, in 19th Annual Symposium - Belgian Hospital Physicists Association, Brussels, Belgium, 2004.
J. Sijbers and den Dekker, A. J., Generalized likelihood ratio test for complex fMRI data, in SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, San Diego, California, USA, 2004, vol. 5369, pp. 652-663.PDF icon Download full paper (251.15 KB)
D. H. J. Poot, Van Meir, V., and Sijbers, J., General and Efficient Super-Resolution method for Multi-Slice MRI, in Medical Image Computing and Computer Assisted Intervention, 2010, vol. 13, no. 1, pp. 615-622.PDF icon Download paper (229.84 KB)
V. Van Meir, Boumans, T., De Groof, G., Van Audekerke, J., Smolders, A., Scheunders, P., Sijbers, J., Verhoye, M., Balthazart, J., and Van Der Linden, A., Functional Magnetic resonance Imaging meets animal vocal learner, in Third One-Day Symposium of Young Belgian Magnetic Resonance Scientists, Brussels, Belgium, 2004.
F. Danckaers, Huysmans, T., Hallemans, A., De Bruyne, G., Truijen, S., and Sijbers, J., Full Body Statistical Shape Modeling with Posture Normalization, in The 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, California, USA, 2018, vol. 591, pp. 437-448.PDF icon Download paper (1.12 MB)
K. Stanković, Danckaers, F., Booth, B. G., Burg, F., Duerinck, S., Sijbers, J., and Huysmans, T., Foot Abnormality Mapping using Statistical Shape Modelling, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December., pp. 70-79.
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.
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.
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)
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.
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.
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)
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)
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.
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)
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)
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.
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.
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.
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.
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)
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.
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.