Publications

Export 153 results:
Author Type [ Year(Asc)]
Filters: Author is Arnold Jan den Dekker  [Clear All Filters]
In Press
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Eight - General conclusions and future perspectives, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Five - Optimal experiment design for nanoparticle atom counting from ADF STEM images, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Four - Atom counting, in Advances in Imaging and Electron Physics,, vol. 216, Science Direct Elsevier, In Press.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter One - Introduction, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
J. Fatermans, De Backer, A., den Dekker, A. J., and Van Aert, S., Chapter Seven - Image-quality evaluation and model selection with maximum a posteriori probability, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
J. Fatermans, De Backer, A., den Dekker, A. J., and Van Aert, S., Chapter Six - Atom column detection, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Three - Efficient fitting algorithm, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Two - Statistical parameter estimation theory: principles and simulation studies, in Advances in Imaging and Electron Physics, vol. 216, Science Direct Elsevier, In Press.
E. Ribeiro Sabidussi, Klein, S., Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., Recurrent Inference Machines as inverse problem solvers for MR relaxometry, Medical Image Analysis, In Press.PDF icon Download paper (2.26 MB)
2021
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters, ESMRMB. 2021.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., den Dekker, A. J., and Sijbers, J., Multi-contrast multi-shot EPI for accelerated diffusion MRI, in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021.
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. 2021.
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, ESMRMB. 2021.
E. Ribeiro Sabidussi, Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., Recurrent Inference Machines as Inverse Problem Solvers for MR Relaxometry, in MIDL 2021 - Medical Imaging with Deep Learning, 2021.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., Rotated or shifted sets of multi-slice MR images for super-resolution reconstruction? A Bayesian answer, ESMRMB. 2021.
C. Smekens, Beirinckx, Q., Vanhevel, F., Van Dyck, P., den Dekker, A. J., Sijbers, J., Janssens, T., and Jeurissen, B., Super-resolution T2* mapping of the knee using UTE Spiral VIBE MRI, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 29th Annual Meeting, An Online Experience. p. 3920, 2021.
2020
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., 3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
P. Bladt, Accurate and precise perfusion parameter estimation in pseudo-continuous arterial spin labeling MRI, 2020.
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.
J. Fatermans, den Dekker, A. J., Gauquelin, N., Verbeeck, J., and Van Aert, S., Bayesian model selection for atom column detection from ABF-ADF STEM images, Virtual Early Career EMC 2020 (online), Copenhagen, Denmark. 2020.
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)
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)
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.

Pages