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E. Bettens, Scheunders, P., Van Dyck, D., Moens, L., and Osta, V. P., “Computer Analysis of Two-Dimensional Electrophoresis Gels : A New Segmentation and Modeling Algorithm”, Electrophoresis, vol. 18, pp. 792-798, 1997.
E. Bettens, Van Dyck, D., den Dekker, A. J., Sijbers, J., and van den Bos, A., “Model-based two-object resolution from observations having counting statistics”, Ultramicroscopy, vol. 77, pp. 37-48, 1999.PDF icon Download full paper (226 KB)
J. Bertels, Huysmans, T., Sijbers, J., Verdonk, B., and Parizel, P. M., “Multi-scale registration of spherical parametrizations of the human cortex”, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, p. 89.PDF icon Full text (116.08 KB)
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., Gielen, J., and Van Tongel, A., “The anatomy of the clavicle: A Three-dimensional Cadaveric Study”, Clinical anatomy, vol. 27, no. 5, pp. 712–723, 2014.PDF icon Download paper (554.93 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, 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)
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.
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. 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. 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., “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., “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, 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 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, 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., “Dynamic tomography angle selection”, U.S. Patent PCT/EP2012/0714212013.
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.
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, Sijbers, J., and Van de Casteele, E., “Automatic multiple threshold scheme for segmentation of tomograms”, in Proceedings of the Biomedical Engineering IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, vol. 2, pp. 143-146.
K. J. Batenburg and Sijbers, J., “Automatic local thresholding of tomographic reconstructions based on the projection data”, in SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6913, p. 69132.PDF icon Download full paper (857.39 KB)

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