Publications

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A. Bernat, Huysmans, T., Van Glabbeek, F., Sijbers, J., Pinho, R., and Gielen, J. L., “Exploring the Clavicle: Morphometric Differences Using a 3D Model”, AAOS Annual Meeting. Las Vegas,Nevada, 2009.PDF icon Full text (12.29 KB)
A. Bernat, Huysmans, T., Van Glabbeek, F., Sijbers, J., Bortier, H., and Gielen, J. L., “Morphometric Study of the Human Clavicle for the Development of an Anatomical Plate”, in 54th Annual Meeting of the Orthopaedic Research Society, San Francisco, Ca, United States, 2008.PDF icon Full text (578.18 KB)
Q. Beirinckx, Jeurissen, B., Verhoye, M., den Dekker, A. J., and Sijbers, J., “Super-resolution T1 mapping with integrated motion compensation in a joint maximum likelihood framework”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands, vol. 32 (Suppl. 1). Magn Reson Mater Phy, 2019.
Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., “Joint Maximum Likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study”, Fundamenta Informaticae, vol. 172, pp. 105–128, 2020.PDF icon Download paper (final author version) (2.15 MB)
Q. Beirinckx, Bladt, P., van der Plas, M. C. E., van Osch, M. J. P., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling”, NeuroImage, vol. 286, p. 120506, 2024.PDF icon Download paper (7.23 MB)PDF icon Download supplementary material (20.75 MB)
Q. Beirinckx, Jeurissen, B., Nicastro, M., Poot, D. H. J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping”, Computerized Medical Imaging and Graphics, vol. 100, no. 102071, pp. 1-16, 2022.PDF icon Download paper (15.42 MB)PDF icon Download supplementary material (1.35 MB)
Q. Beirinckx, Bladt, P., van der Plas, M. C. E., Schmid, S., Teeuwisse, W. M., Jeurissen, B., den Dekker, A. J., Sijbers, J., and van Osch, M. J. P., “Super-resolution strategies for single-PLD pseudo-continuous ASL”, 12th Annual Meeting of the ISMRM Benelux Chapter. Arnhem, The Netherlands, 2020.
Q. Beirinckx, “Technological breakthroughs towards motion-robust super-resolution quantitative magnetic resonance imaging for improved detection of brain diseases”, University of Antwerp, 2024.PDF icon Download PhD Thesis (18.7 MB)
S. Bazrafkan, Van Nieuwenhove, V., Soons, J., De Beenhouwer, J., and Sijbers, J., “Ringing Artefact Removal From Sparse View Tomosynthesis using Deep Neural Networks”, in The 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 380-383.PDF icon Download paper (570.79 KB)
S. Bazrafkan, Van Nieuwenhove, V., Soons, J., De Beenhouwer, J., and Sijbers, J., “To Recurse or not to Recurse A Low Dose CT Study”, Progress in Artificial Intelligence, vol. 10, pp. 65–81, 2021.
S. Battiato, Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2015, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 9386. 2015.
K. J. Batenburg and Sijbers, J., “Generic iterative subset algorithms for discrete tomography”, Discrete Applied Mathematics, vol. 157, pp. 438-451, 2009.PDF icon Download paper (1.41 MB)
K. J. Batenburg, Sijbers, J., and Plantagie, L., “Filter for Tomographic Reconstructions”, U.S. Patent WO2013011031A12014.
K. J. Batenburg and Sijbers, J., “Adaptive thresholding of tomograms by projection distance minimization”, Pattern Recognition, vol. 42, pp. 2297-2305, 2009.PDF icon Download paper (1.05 MB)
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)
K. J. Batenburg, Van Aarle, W., and Sijbers, J., “A Semi-Automatic Algorithm for Grey Level Estimation in Tomography”, Pattern Recognition Letters, vol. 32, pp. 1395-1405, 2011.
K. J. Batenburg and Sijbers, J., “DART: a fast heuristic algebraic reconstruction algorithm for discrete tomography”, in Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, USA, 2007.PDF icon Download paper (415.32 KB)
K. J. Batenburg, Palenstijn, W. J., Balazs, P., and Sijbers, J., “Dynamic angle selection in binary tomography”, Computer Vision and Image Understanding, vol. 117, no. 5, pp. 306–318, 2013.PDF icon Download paper (2.71 MB)
K. J. Batenburg and Sijbers, J., “Dynamic tomography angle selection”, U.S. Patent PCT/EP2012/0714212013.
K. J. Batenburg and Sijbers, J., “Discrete tomography from micro-CT data: application to the mouse trabecular bone structure”, in Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, San Diego, CA, USA, 2006, vol. 6142, pp. 1325-1335.PDF icon Download full paper (563.79 KB)
K. J. Batenburg, Bals, S., Van Aert, S., Roelandts, T., and Sijbers, J., “Ultra-High Resolution Electron Tomography for Materials Science: A Roadmap”, Microscopy and Microanalysis 2011 Meeting. Nashville, TN, United States, 2011.
K. J. Batenburg, De Carlo, F., Mancini, L., and Sijbers, J., “Advanced X-ray tomography: experiment, modeling, and algorithms”, Measurement Science and Technology, vol. 29, no. 8, p. 080101, 2018.
K. J. Batenburg and Sijbers, J., “Automatic multiple threshold scheme for segmentation of tomograms”, in Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, San Diego, CA, USA, 2007.PDF icon Download full paper (630.82 KB)
K. J. Batenburg and Sijbers, J., “Trabecular bone reconstruction from micro-CT data using discrete tomography”, in Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, 2006, pp. 65-69.
K. J. Batenburg and Sijbers, J., “DART: A practical reconstruction algorithm for discrete tomography”, IEEE Transactions on Image Processing, vol. 20, pp. 2542-2553, 2011.PDF icon Download paper (2.12 MB)

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