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Conference Paper
V. Van Nieuwenhove, De Beenhouwer, J., Vlassenbroeck, J., Moesen, M., Brennan, M., and Sijbers, J., Registration Based SIRT: A reconstruction algorithm for 4D CT, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (2.36 MB)
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography, in IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, 2023.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region based 4D tomographic image reconstruction: application to cardiac X-ray CT, in IEEE International Conference on Image Processing, 2015, pp. 113 - 117.PDF icon Download paper (708.79 KB)
J. Sijbers and Postnov, A., Reduction of ring artifacts in high resolution micro-CT images, in Advanced Concepts for Intelligent Vision Systems (ACIVS), Brussels, Belgium, 2004.
E. Ribeiro Sabidussi, Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., Recurrent Inference Machines as Inverse Problem Solvers for MR Relaxometry, in MIDL 2021 - Medical Imaging with Deep Learning, 2021.
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., The Radon Transform for Terahertz Computed Tomography Incorporating the Beam Shape, in IEEE ICIP, 2020, pp. 3040-3044.PDF icon Download paper (692.64 KB)
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Quantitative HREM: viewpoints on resolution, precision, and experimental design, in Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, 1999.
E. Van de Casteele, Parizel, P. M., and Sijbers, J., Quantitative evaluation of ASiR image quality: an adaptive statistical iterative reconstruction technique, in SPIE Medical Imaging, 2012, vol. 8313.PDF icon Download abstract (453.01 KB)
A. Dabravolski, De Beenhouwer, J., and Sijbers, J., Projection-based polygon estimation in X-ray computed tomography, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 41-50.PDF icon Download paper (615.72 KB)
J. Sanctorum, Nguyen, V., Sijbers, J., Van Wassenbergh, S., and Dirckx, J. J. J., Projection angle adapted distortion correction in high-speed image-intensifier based tomography, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (818.64 KB)
K. J. Batenburg, Palenstijn, W. J., and Sijbers, J., Projection and backprojection in tomography: design choices and considerations, in Workshop on Applications of Discrete Geometry and Mathematical Morphology, 2010, pp. 106-110.PDF icon Download paper (367.34 KB)
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., Proceedings of the Royal Microscopical Society, in Optimization of the SNR in NMR images using image sequences, London, UK, 1994, vol. 29, p. 232.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., A preliminary study of diffusion tensor imaging and tractography of the spinal cord in elderly, in 21th Annual Symposium - Belgian Hospital Physicists Association, Ghent, Belgium, 2006, p. 61.
W. Fortes, Sijbers, J., and Batenburg, K. J., Practical Error Bounds for Binary Tomography, in 1st International Conference on Tomography of Materials and Structures, 2013, pp. 97-100.PDF icon Download paper (165.74 KB)
T. B. A. de Carvalho, Sibaldo, M. A. A., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Pixel clustering for face recognition, in 5th Brazilian Conference on Intelligent Systems, Brazil, 2016, pp. 121-126.
J. Sijbers and den Dekker, A. J., The performance of generalized likelihood ratio tests for complex functional MRI data in the presence of phase model misspecification, in European Society of Magnetic Resonance in Medicine (ESMRMB), Copenhagen, Denmark, 2004, p. 96.
S. Manhaeve, Van Nieuwenhove, V., and Sijbers, J., Performance and memory use trade-off in CPU and GPU implementations of a deformation operator for 4D-CT, in 8th Conference on Industrial Computed Tomography, Wels, Austria, 2018.
N. Six, De Beenhouwer, J., and Sijbers, J., pDART: Discrete algebraic reconstruction using a polychromatic forward model, in The Fifth International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2018.PDF icon Download paper (1.61 MB)
T. Roelandts, Batenburg, K. J., and Sijbers, J., PDART: A Partially Discrete Algorithm for the Reconstruction of Dense Particles, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Potsdam, Germany, 2011, pp. 448-451.PDF icon Download full paper (1.74 MB)
G. Ramos-Llordén, Segers, H., Palenstijn, W. J., den Dekker, A. J., and Sijbers, J., Partially discrete magnetic resonance tomography, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 1653-1657.
G. De Groof, Verhoye, M., Leemans, A., Sijbers, J., and Van Der Linden, A., Paired voxel-wise statistical mapping of in vivo Diffusion Tensor Imaging (DTI) data to assess the seasonal neuronal plasticity in the brain of a songbird, in 1st Annual Meeting - European Society of Molecular Imaging, Paris, France, 2006.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Optimizing the setting of an electron microscope for highest resolution using statistical parameter estimation theory, in Workshop: Towards Atomic Resolution Analysis 98, Port Ludlow, WA, U.S.A, 1998.
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., Optimizing the Diffusion Kurtosis imaging acquisition, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Optimizing the design of an HREM experiment so as to attain the highest resolution, in Proceedings of FEMMS98: Frontiers of Electron Microscopy in Material Science, Kloster Irsee, Germany, 1998.
M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., Optimized Workflow for Diffusion Kurtosis Imaging of Newborns, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)