Publications

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Author [ Type(Desc)] Year
Conference Abstract
T. Huysmans, Bernat, A., Van Glabbeek, F., Sijbers, J., Gielen, J. L., and Bortier, H., Left-Right and Gender Analysis of The Human Clavicle, A Problem in Developing an Anatomical Plate?, 21th Congress of the European Society for the Surgery of the Shoulder and the Elbow (SECEC - ESSSE) 17-20 September. Brugge, Belgium, p. 101, 2008.PDF icon Full text (41.81 KB)
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography, European Congress of Radiology 2014 (ECR 2014). 2014.
S. Van Aert, Fatermans, J., De Backer, A., van den Bos, K. H. W., O'Leary, C. M., Müller-Caspary, K., Jones, L., Lobato, I., Béché, A., den Dekker, A. J., Bals, S., and Nellist, P. D., Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials, IMC19, Sydney, Australia. 2018.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Maximizing precision in PCASL MRI using an optimized sampling strategy, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Barcelona, Spain. 2017.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., The maximum a posteriori probability rule to detect single atoms from low signal-to-noise ratio scanning transmission electron microscopy images, IMC19, Sydney, Australia. 2018.
S. Van Cauter, Veraart, J., Sijbers, J., Himmelreich, U., Peeters, R. R., Van Gool, S., and Van Hecke, W., Mean Kurtosis: a new potential biomarker for brain tumor grading, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.PDF icon Download abstract (369.6 KB)
A. Van Tongel, Huysmans, T., Bernat, A., Sijbers, J., and Van Glabbeek, F., Mediolateral shape and curvature analysis of the clavicle, 21st Annual Scientific Meeting of the British Elbow and Shoulder Society in Newcastle. 2011.
G. Ramos-Llordén and Sijbers, J., Misalignment correction for T1 maps using a maximum likelihood estimator approach, Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 2 Sep - 6 Sep, 2013. 2013.
T. Elberfeld, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images, 4th International Conference on Tomography of Materials & Structures. 2019.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging, ISMRM Chapter Benelux conference proceedings. Utrecht, the Netherlands, p. 10, 2010.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging,, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., A multiresolution approach to the Discrete Algebraic Reconstruction Technique (DART), 2nd International Congress on 3D Materials Science. 2014.PDF icon Download abstract (59.52 KB)PDF icon Download presentation (1.72 MB)
D. Perrone, Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., and Sijbers, J., A Novel Method for Realistic DWI Data Generation, International Society for Magnetic Resonance in Medicine, vol. 22. Milan, Italy, p. 4427, 2014.
G. Ramos-Llordén, den Dekker, A. J., Björk, M., Verhoye, M., and Sijbers, J., NOVIFAST: A fast non-linear least squares method for accurate and precise estimation of T1 from SPGR signals, 24th Annual Meeting of the ISMRM, Singapore. 2016.
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Optimal design of a blended diffusion/relaxometry experiment, 36th Annual Scientific Meeting of the ESMRMB. Rotterdam, the Netherlands, 2019.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Optimal sampling strategy for pseudo-continuous arterial spin labeling MRI, 9th Annual Meeting of ISMRM Benelux, 20th January 2017, Tilburg, The Netherlands. 2017.
M. Naeyaert, Aelterman, J., Van Audekerke, J., Claes, K., Van Der Linden, A., Sijbers, J., and Verhoye, M., Optimization of Compressed Sensing/RARE Combining Acquisition Schemes, European Society for Magnetic Resonance in Medicine and Biology, vol. 25, no. 1. pp. 513-514, 2012.
D. H. J. Poot, den Dekker, A. J., Verhoye, M., Blockx, I., Van Audekerke, J., Van Der Linden, A., and Sijbers, J., Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009.PDF icon Download full paper (624.88 KB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018.PDF icon Download paper (636.09 KB)
G. Ramos-Llordén, Segers, H., Palenstijn, W. J., den Dekker, A. J., and Sijbers, J., Partial discreteness: a new type of prior knowledge for MRI reconstruction, 23rd Annual meeting of the ISMRM, Toronto, Canada., vol. 23. p. 3417, 2015.PDF icon Download abstract (1.14 MB)
T. Roelandts, Batenburg, K. J., Biermans, E., Bals, S., and Sijbers, J., Partially Discrete Tomography for the Reconstruction of Dense Particles, 17th International Microscopy Congress (IMC17). Rio de Janeiro, Brazil, p. I7.19, 2010.
D. H. J. Poot, den Dekker, A. J., and Sijbers, J., Pearson Set of Distributions as Improved Signal Model for Diffusion Kurtosis Imaging, ISMRM conference proceedings. ISMRM, p. 1383, 2009.PDF icon Download full paper (638.23 KB)
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, 8th Conference on Industrial Computed Tomography. 2018.
J. Veraart and Sijbers, J., Post-processing of diffusion-weighted MR data lowers the accuracy of the weighted linear least squares estimator , Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 22. p. 2573, 2014.PDF icon Download abstract (556.84 KB)
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Probabilistic Fiber Tracking using the Residual Bootstrap with Constrained Spherical Deconvolution MRI, ISMRM, 17th Scientific Meeting and Exhibition. Honolulu, USA, 2009.

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