Publications

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Journal Article
A. J. den Dekker, Poot, D. H. J., Bos, R., and Sijbers, J., 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.
Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., Joint Maximum Likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study, Fundamenta Informaticae, vol. 172, pp. 105–128, 2020.
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., 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.
A. J. den Dekker and Sijbers, J., Implications of the Rician distribution for fMRI generalized likelihood ratio tests, Magnetic Resonance Imaging, vol. 23, pp. 953-959, 2005.PDF icon Download paper (1.36 MB)
A. J. den Dekker, Sijbers, J., and Van Dyck, D., How to optimize the design of a quantitative HREM experiment so as to attain the highest precision, Journal of Microscopy, vol. 194, pp. 95-104, 1999.PDF icon Download full paper (601.48 KB)
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Harmonisation of Brain Diffusion MRI: Concepts and Methods, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020.PDF icon Download paper (2.61 MB)
J. Sijbers and den Dekker, A. J., Generalized likelihood Ratio tests for complex fMRI data: a simulation study, IEEE Transactions on Medical Imaging, vol. 24, pp. 604-611, 2005.PDF icon Download paper (377.11 KB)
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., den Dekker, A. J., and van den Bos, A., From High Resolution Image to Atomic Structure: how fare are we?, Scanning Microscopy, Special Issue on Image Processing, vol. 11, pp. 467-478, 1997.
A. J. den Dekker, Gonnissen, J., De Backer, A., Sijbers, J., and Van Aert, S., Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?, Ultramicroscopy, vol. 134, pp. 34-43, 2013.
J. Sijbers, den Dekker, A. J., Van Audekerke, J., Verhoye, M., and Van Dyck, D., Estimation of the noise in magnitude MR images, Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998.PDF icon Download paper (64.9 KB)
Q. Collier, Veraart, J., Jeurissen, B., Vanhevel, F., Pullens, P., Parizel, P. M., den Dekker, A. J., and Sijbers, J., Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach, Magnetic Resonance in Medicine, vol. 80, no. 2, pp. 802-813, 2018.PDF icon Download paper (1.93 MB)
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Detecting and locating light atoms from high-resolution STEM images: the quest for a single optimal design Ultramicroscopy, Ultramicroscopy, vol. 170, pp. 128-138, 2016.
A. J. den Dekker and Sijbers, J., Data distributions in magnetic resonance images: a review, Physica Medica, vol. 30, no. 7, pp. 725–741, 2014.PDF icon Download paper (410.33 KB)PDF icon Download paper (protected) (505.58 KB)
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., The costs and benefits of estimating T1 of tissue alongside cerebral blood flow and arterial transit time in pseudo-continuous arterial spin labeling, NMR in Biomedicine, vol. 33, no. 12, pp. 1-17, 2020.PDF icon Download paper (16.44 MB)
J. Sijbers, Poot, D. H. J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007.PDF icon Download paper (297.18 KB)
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Atom-counting in High Resolution Electron Microscopy: TEM or STEM - that’s the question, Ultramicroscopy, vol. 147, pp. 112–120, 2017.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Gauquelin, N., Verbeeck, J., and Van Aert, S., Atom column detection from simultaneously acquired ABF and ADF STEM images, Ultramicroscopy, vol. 219, p. 113046, 2020.
S. Van Aert, De Backer, A., Martinez, G. T., den Dekker, A. J., Van Dyck, D., Bals, S., and Van Tendeloo, G., Advanced electron crystallography through model-based imaging, IUCrJ, vol. 3, 2016.
J. Sijbers, den Dekker, A. J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Adaptive anisotropic noise filtering for magnitude MR data, Magnetic Resonance Imaging, vol. 17, pp. 1533-1539, 1999.PDF icon Download full paper (366 KB)
Conference Paper
J. Sijbers, den Dekker, A. J., Scheunders, P., Raman, E., and Van Dyck, D., Unbiased signal estimation in magnitude MR images, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology, Brussels, Belgium, 1997, vol. 2, p. 174.
E. Bettens, den Dekker, A. J., Sijbers, J., and Van Dyck, D., Ultimate resolution in the framework of parameter estimation, in IASTED International Conference - Signal and Image Processing (SIP'98), Las Vegas, Nevada, USA, 1998, pp. 229-233.PDF icon Download paper (113.28 KB)
G. Ramos-Llordén, den Dekker, A. J., Van Steenkiste, G., Van Audekerke, J., Verhoye, M., and Sijbers, J., 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.
J. Sijbers, den Dekker, A. J., Poot, D. H. J., Bos, R., Verhoye, M., Van Camp, N., and Van Der Linden, A., Robust estimation of the noise variance from background MR data, in Proceedings of SPIE Medical Imaging: Image Processing, San Diego, CA, USA, 2006, vol. 6144, pp. 2018-2028.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., Quantitative HREM: viewpoints on resolution, precision, and experimental design, in Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, 1999.
J. Sijbers and den Dekker, A. J., The performance of generalized likelihood ratio tests for complex functional MRI data in the presence of phase model misspecification, in European Society of Magnetic Resonance in Medicine (ESMRMB), Copenhagen, Denmark, 2004, p. 96.

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