Publications

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Conference Abstract
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.PDF icon Download poster (1.04 MB)
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)
F. L. Wuyts, Jillings, S., Van Ombergen, A., Jeurissen, B., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., and others, “Novel insight on effect and recovery of long-duration spaceflight on the ventricles of the space traveller's brain”, Proceedings of the International Astronautical Congress, IAC, vol. 2019. International Astronautical Federation, p. IAC–19_A1_2_4_x51230, 2019.
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.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., “Optimal acquisition settings for simultaneous diffusion kurtosis, free water fraction and T2 estimation”, Joint Annual Meeting ISMRM-ESMRMB. 2022.
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 Online 38th Annual Scientific Meeting 7–9 October 2021. Magn Reson Mater Phy, vol. 34. pp. S54-S55, 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”, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 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)
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.
B. Jeurissen, “Processing multi-shell diffusion MRI data using MRtrix3”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
B. Jeurissen, “Processing multi-shell diffusion MRI data using MRtrix3”, Belgian Neuroinformatics Congress. Frontiers in Neuroinformatics, 2015.
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., “Quantifying 3D atomic structures of nanomaterials and their dynamics using model-based scanning transmission electron microscopy”, Spring Meeting of the EMRS, Nice, France. 2019.

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