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Conference Abstract
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.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
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.
J. Renders, Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., Motion compensating X-ray micro-CT of diamonds in a processing stage, 31st International Conference on Diamond and Carbon Materials. 2021.
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.
M. Nicastro, Beirinckx, Q., Bladt, P., Jeurissen, B., Klein, S., Sijbers, J., Poot, D. H. J., and den Dekker, A. J., Optimal design of a T1 super-resolution reconstruction experiment: a simulation study, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020.PDF icon Download abstract (810.88 KB)
J. Morez, Sijbers, J., and Jeurissen, B., Optimal experimental design for multi-tissue spherical deconvolution of diffusion MRI, Proc Intl Soc Mag Reson Med 28. p. 4321, 2020.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., Optimal experimental design for the T2-weighted diffusion kurtosis imaging free water elimination model, ESMRMB 2021. 2021.
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)
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study, ISMRM & SMRT Annual Meeting. 2021.
M. Siqueira Pinto, Winzeck, S., Richter, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., Guns, P. - J., den Dekker, A. J., Sijbers, J., Newcombe, V. F. J., and Van Dyck, P., Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI, ESMRMB. 2021.
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)
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)

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