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K. J. Batenburg, Sijbers, J., and Plantagie, L., Filter for Tomographic Reconstructions, U.S. Patent WO2013011031A12014.
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, 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., 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, 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 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, 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 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)
K. J. Batenburg, Bals, S., Sijbers, J., Kubel, C., Midgley, P. A., Hernandez, J. C., Kaiser, U., Encina, E. R., Coronado, E. A., and Van Tendeloo, G., 3D imaging of nanomaterials by discrete tomography, Ultramicroscopy, vol. 109, pp. 730-740, 2009.
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)
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.
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.
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.
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, 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., 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)

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