Publications
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Author Type [ Year] Filters: Author is Arnold Jan den Dekker [Clear All Filters]
“Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.
, “CSF partial volume modeling in diffusion kurtosis imaging: a comparative parameter estimation study”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
, “High resolution diffusion tensor imaging in a clinically feasible scan time”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
, “High resolution T1 estimation from multiple low resolution magnetic resonance images”, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.
, “Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters”, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
, “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)
, “Partially discrete magnetic resonance tomography”, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 1653-1657.
, “Simultaneous group-wise rigid registration and T1 ML estimation for T1 mapping”, 23rd Annual meeting of the ISMRM, Toronto, Canada., vol. 23. p. 447, 2015. Download abstract (910.6 KB)
, “Simultaneous group-wise rigid registration and T1 ML estimation for T1 mapping”, 7th meeting of the ISMRM Benelux Chapter, Gent, Belgium, January. 2015.
, “Simultaneous motion correction and T1 estimation in quantitative T1 mapping: An ML restoration approach”, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 3160-3164.
, “Super-resolution T1 mapping: a simulation study”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 1679, 2015. Download abstract (1.22 MB)
, “Theoretical study of the free water elimination model”, Proc. Intl. Soc. Mag. Reson. Med. 23, vol. 15. p. 2757, 2015.
, “Theoretical study of the free water elimination model”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2757, 2015. Download abstract (594.47 KB)
, “Theoretical study of the free water elimination model”, 7th Annual Meeting of the Benelux ISMRM Chapter, Ghent, Belgium. p. 78, 2015.
, “Data distributions in magnetic resonance images: a review”, Physica Medica, vol. 30, no. 7, pp. 725–741, 2014. Download paper (410.33 KB) Download paper (protected) (505.58 KB)
, “Joint motion correction and estimation for T1 mapping: proof of concept”, Medical Imaging Summer School 2014, Favignana, Italy. 2014.
, “A new non local maximum likelihood estimation method for Rician noise reduction in Magnetic Resonance images using the Kolmogorov-Smirnov test”, Signal Processing, vol. 103, pp. 16-23, 2014.
, “Optimal experimental design for the detection of light atoms from high-resolution scanning transmission electron microscopy images”, Applied Physics Letters, vol. 105, no. 063116, 2014.
, “The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography”, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014. Download paper (4.58 MB)
, “Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?”, Ultramicroscopy, vol. 134, pp. 34-43, 2013.
, “A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images”, in 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, 2013, Lecture Notes in Computer Science., vol. 8251.
, “Optimal experimental design for Diffusion Kurtosis Imaging”, IEEE Transactions on Medical Imaging, vol. 29, pp. 819-829, 2010. Download paper (1.12 MB)
, “Advances in the reconstruction and statistical processing of Magnetic Resonance images”, 2009. Download thesis (6.18 MB)
, “Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study”, IEEE Transactions on Medical Imaging, vol. 28, pp. 287-296, 2009.
, “Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging”, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009. Download full paper (624.88 KB)
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