Publications
“ADEPT: Accurate Diffusion EPI with multi-contrast shoTs”, Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 396-410, 2023. Download paper (5.82 MB)
, “dtiRIM: A generalisable deep learning method for diffusion tensor imaging”, Neuroimage, vol. 269, 2023. Download paper (5.11 MB)
, “Systematic review of reconstruction techniques for accelerated quantitative MRI”, Magnetic Resonance in Medicine, vol. 90, no. 3, pp. 1172-1208, 2023. Download paper (2.91 MB)
, “Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping”, Computerized Medical Imaging and Graphics, vol. 100, no. 102071, pp. 1-16, 2022. Download paper (15.42 MB) Download supplementary material (1.35 MB)
, “To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging”, Frontiers in Neuroscience, pp. 1-18, 2022. Download paper (5.96 MB)
, “Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters”, Magn Reson Mater Phy, vol. 34. pp. S57-S58, 2021.
, “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.
, “Multi-contrast multi-shot EPI for accelerated diffusion MRI”, in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, pp. 3869-3872.
, “Recurrent Inference Machines as Inverse Problem Solvers for MR Relaxometry”, in MIDL 2021 - Medical Imaging with Deep Learning, 2021.
, “Recurrent Inference Machines as inverse problem solvers for MR relaxometry”, Medical Image Analysis, vol. 74, pp. 1-11, 2021. Download paper (2.26 MB)
, “Rotated or shifted sets of multi-slice MR images for super-resolution reconstruction? A Bayesian answer”, Magn Reson Mater Phy (ESMRMB), vol. 34. pp. S56-S57, 2021.
, “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. Download paper (final author version) (2.15 MB)
, “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)
, “A deep learning approach to T1 mapping in quantitative MRI”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands, vol. 32 (Suppl. 1). Magn Reson Mater Phy, 2019.
, “Super-resolution T1 estimation: quantitative high resolution T1 mapping from a set of low resolution T1 weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 77, no. 5, pp. 1818–1830, 2017. Download paper (3.3 MB)
, “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.
, “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.
, “Super-resolution estimation of quantitative MRI parameters”, University of Antwerp, 2016. Download PhD thesis (7.56 MB)
, “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.
, “Combination of super-resolution reconstruction diffusion tensor imaging and track density imaging reveals song control system connectivity in zebra finches”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2861, 2015. Download abstract (108.98 KB)
, “Combination of super-resolution reconstruction diffusion tensor imaging and track density imaging reveals song control system connectivity in zebra finches”, Proc. Intl. Soc. Mag. Reson. Med. 23. p. 2861, 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.
, “Super-resolution structural connectivity and anatomy of the zebra finch brain ”, ISMRM Benelux. 2015.
, “Super-resolution T1 mapping: a simulation study”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 1679, 2015. Download abstract (1.22 MB)
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