Publications

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E. Bettens, Scheunders, P., Sijbers, J., Van Dyck, D., and Moens, L., “Automatic segmentation and modeling of two-dimensional electrophoresis gels”, in Proceedings of IEEE International Conference on Image Processing, Lausanne, Switserland, 1996, vol. 2, pp. 665-668.
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, den Dekker, A. J., Sijbers, J., and Van Dyck, D., “Ultimate resolution in the framework of parameter estimation”, in IASTED International Conference - Signal and Image Processing (SIP'98), Las Vegas, Nevada, USA, 1998, pp. 229-233.PDF icon Download paper (113.28 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., 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)
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)
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, Sijbers, J., Poulsen, H. F., and Knudsen, E., “DART: A Robust Algorithm for Fast Reconstruction of 3D Grain Maps”, Journal of Applied Crystallography, vol. 43, pp. 1464-1473, 2010.PDF icon Download paper (824.99 KB)
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 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 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, 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, 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.

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