Publications

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Conference Paper
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.
G. Van Gompel, Defrise, M., and Batenburg, K. J., “Reconstruction of a uniform star object from interior X-ray data”, in Nuclear Science Symposium Conference Record, NSS08, IEEE, Dresden, Germany, 2008, pp. 4115-4119.
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)
H. Le, Bossuyt, C., Escoda, J., Costin, M., De Beenhouwer, J., and Sijbers, J., “Proximal Neural Networks based reconstruction for few-view CT applications”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.PDF icon Download paper (4.27 MB)
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.
B. Auer, De Beenhouwer, J., Fromme, T. J., Kalluri, K., Goding, J. C., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary investigation of design parameters of an innovative multi- pinhole system dedicated to brain SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
B. Auer, De Beenhouwer, J., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., “Preliminary investigation of attenuation and scatter correction strategies for a next-generation SPECT system dedicated to quantitative clinical brain imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester, UK, 2019.
B. Auer, Könik, A., Fromme, T. J., Kalluri, K., De Beenhouwer, J., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary evaluation of surface mesh modeling of system geometry, anatomy phantom, and source activity for GATE simulations”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
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)
R. Heylen, Parente, M., and Scheunders, P., “Pixel purity vertex component analysis”, in IEEE IGARSS 2017, International Geoscience and Remote Sensing Symposium, Fort Worth, USA, July 23-28, 2017.
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. Vleugels, Lacko, D., De Bruyne, G., Huysmans, T., and Verwulgen, S., “Physical Evaluation of an Anthropometric Shape Model of the Human Scalp”, in Proceedings of the 6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 27-28 October, 2015.
W. D'haes and Rodet, X., “Physical Constraints for the Control of a Physical Model of a Trumpet”, in International Conference on Digital Audio Effects (DAFx), Hamburg, Germany, 2002.
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)
I. R. Tsang, Tsang, I. J., Scheunders, P., and Van Dyck, D., “Pattern Recognition using neighborhood coding”, in Proc. CVPRIP'98, Intern. Workshop on Computer Vision, Pattern Recognition and Image Processing , North Carolina, october 23-28, 1998, pp. 250-253.

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