Publications
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Author [ Type] Year Filters: Author is Arnold Jan den Dekker [Clear All Filters]
“Diffusion time dependence in the mid-time regime: a simulation study using PGSE.”, 27th Annual Meeting of the ISMRM. Montreal, Canada, 2019.
, “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.
, “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.
, “High resolution diffusion tensor imaging in a clinically feasible scan time”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
, “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.
, “High-resolution T2* mapping of the knee based on UTE Spiral VIBE MRI”, Magn Reson Mater Phy, vol. 34. pp. S53-S54, 2021.
, “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.
, “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.
, “Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept”, ISMRM-Benelux, vol. 12. 2020.
, “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.
, “Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials”, IMC19, Sydney, Australia. 2018.
, “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.
, “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.
, “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.
, “Optimal acquisition settings for simultaneous diffusion kurtosis, free water fraction and T2 estimation”, Joint Annual Meeting ISMRM-ESMRMB. 2022.
, “Optimal design of a blended diffusion/relaxometry experiment”, 36th Annual Scientific Meeting of the ESMRMB. Rotterdam, the Netherlands, 2019.
, “Optimal design of a T1 super-resolution reconstruction experiment: a simulation study”, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020. Download abstract (810.88 KB)
, “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.
, “Optimal sampling strategy for pseudo-continuous arterial spin labeling MRI”, 9th Annual Meeting of ISMRM Benelux, 20th January 2017, Tilburg, The Netherlands. 2017.
, “Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging”, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009. Download full paper (624.88 KB)
, “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.
, “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.
, “Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images”, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018. Download paper (636.09 KB)
, “Partial discreteness: a new type of prior knowledge for MRI reconstruction”, 23rd Annual meeting of the ISMRM, Toronto, Canada., vol. 23. p. 3417, 2015. Download abstract (1.14 MB)
, “Pearson Set of Distributions as Improved Signal Model for Diffusion Kurtosis Imaging”, ISMRM conference proceedings. ISMRM, p. 1383, 2009. Download full paper (638.23 KB)
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