Publications

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Conference Abstract
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Diffusion time dependence in the mid-time regime: a simulation study using PGSE., 27th Annual Meeting of the ISMRM. Montreal, Canada, 2019.
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., An educational presentation on accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, 10th Annual Meeting of the ISMRM Benelux Chapter. Antwerp, Belgium, 2018.
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Effect of diffusion time dependence on parameter estimation in the clinical time frame: a simulation study using PGSE, 11th Annual Meeting of the ISMRM Benelux Chapter. Leiden, the Netherlands, 2019.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., High resolution diffusion tensor imaging in a clinically feasible scan time, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., High Resolution Diffusion Tensor Reconstruction from Simultaneous Multi-Slice Acquisitions in a Clinically Feasible Scan Time, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 2, 2016.
C. Smekens, Beirinckx, Q., Vanhevel, F., Van Dyck, P., den Dekker, A. J., Sijbers, J., Janssens, T., and Jeurissen, B., High-resolution T2* mapping of the knee based on UTE Spiral VIBE MRI, Magn Reson Mater Phy, vol. 34. pp. S53-S54, 2021.
V. Anania, Billiet, T., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Improved voxel-wise quantification of diffusion and kurtosis metrics in the presence of noise and intensity outliers, 12th Annual Meeting ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., In vivo high resolution diffusion tensor imaging in a clinically acceptable scan time by combining super resolution reconstruction with simultaneous multi-slice acquisition, ISMRM Benelux Chapter, vol. 8. 2016.
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, ISMRM-Benelux, vol. 12. 2020.
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, International Society for Magnetic Resonance in Medicine (ISMRM), vol. 28. 2020.
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.
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)
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.
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)
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)

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