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W. Van den Broek, Verbeeck, J., De Backer, S., Scheunders, P., and Schryvers, D., Acquisition of the EELS data cube by tomographic reconstruction, Ultramicroscopy, vol. 106, pp. 269-276, 2006.
S. Van der Jeught, Sijbers, J., and Dirckx, J. J. J., Fast Fourier-based phase unwrapping on the graphics processing unit in real-time imaging applications, Journal of Imaging, vol. 1, pp. 31-44, 2015.PDF icon Download paper (1.35 MB)
S. Van Dongen, Danckaers, F., Beerten, J., and Huysmans, T., Women's preferences for male facial masculinity are not condition-dependent in a large online study, The All Results Journals: Biol, vol. 10, no. 1, 2019.
P. Van Dyck, Smekens, C., Vanhevel, F., De Smet, E., Roelant, E., Sijbers, J., and Jeurissen, B., Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging, Investigative Radiology, vol. 55, no. 8, pp. 481-493, 2020.
P. Van Dyck, Froeling, M., Heusdens, C. H. W., Sijbers, J., Ribbens, A., and Billiet, T., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Following Primary Repair with Internal Bracing: a Longitudinal Study, Journal of Orthopaedic Research , vol. 39, pp. 1318–1330, 2021.
P. Van Dyck, Billiet, T., Desbuquoit, D., Verdonk, P., Heusdens, C. H., Roelant, E., Sijbers, J., and Froeling, M., Diffusion tensor imaging of the anterior cruciate ligament graft following reconstruction: a longitudinal study, European Radiology, vol. 34, pp. 6673–6684, 2020.
P. Van Dyck, Froeling, M., De Smet, E., Pullens, P., Torfs, M., Verdonck, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Journal of Magnetic Resonance Imaging, vol. 46, no. 5, pp. 1423–1432, 2017.
P. Van Dyck, Zazulia, K., Smekens, C., Heusdens, C. H. W., Janssens, T., and Sijbers, J., Assessment of Anterior Cruciate Ligament Graft Maturity With Conventional Magnetic Resonance Imaging, The Orthopaedic Journal of Sports Medicine, vol. 7, no. 6, pp. 1-9, 2019.PDF icon Download paper (202.39 KB)
D. Van Dyck and Garcia, J., INFOTREE: A new generic method for supervised pattern, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.
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.
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., van den Bos, A., den Dekker, A. J., Jansen, J., and Zandbergen, H., Towards quantitative structure determination through electron holographic methods, Materials Characterization, vol. 42, pp. 265-281, 1999.PDF icon Download paper (6.71 MB)
G. Van Eyndhoven, Kurttepeli, M., Van Oers, C. J., Cool, P., Bals, S., Batenburg, K. J., and Sijbers, J., Pore REconstruction and Segmentation (PORES) method for improved porosity quantification of nanoporous materials, Ultramicroscopy, vol. 148, pp. 10-19, 2015.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., An iterative CT reconstruction algorithm for fast fluid flow imaging, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4446-4458, 2015.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region-based iterative reconstruction of structurally changing objects in CT, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 909-919, 2014.
G. Van Gompel, Defrise, M., and Batenburg, K. J., Reconstruction of a uniform star object from interior x-ray data: uniqueness, stability and algorithm, Inverse Problems, vol. 25, 2009.
G. Van Gompel, Van Slambrouck, K., Defrise, M., Batenburg, K. J., De Mey, J., Sijbers, J., and Nuyts, J., Iterative correction of beam hardening artifacts in CT, Medical Physics, vol. 38, pp. 36-49, 2011.
W. Van Hecke, Sijbers, J., De Backer, S., Poot, D. H. J., Parizel, P. M., and Leemans, A., On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods, NeuroImage, vol. 46, pp. 692-707, 2009.PDF icon Download paper (4.14 MB)
W. Van Hecke, Nagels, G., Emonds, G., Leemans, A., Sijbers, J., van Goethem, J., and Parizel, P. M., A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesions., Journal of magnetic resonance imaging : JMRI, vol. 30, no. 1, pp. 25-34, 2009.PDF icon Download paper (902.67 KB)
W. Van Hecke, Sijbers, J., D'Agostino, E., Maes, F., De Backer, S., Vandervliet, E., Parizel, P. M., and Leemans, A., On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain, NeuroImage, vol. 43, pp. 69-80, 2008.PDF icon Download paper (3.34 MB)
W. Van Hecke, Leemans, A., Sijbers, J., Vandervliet, E., Van Goethem, J., and Parizel, P. M., A tracking based DTI segmentation method for the detection of diffusion-related changes of the cervical spinal cord with aging, Journal of Magnetic Resonance Imaging, vol. 27, pp. 978-991, 2008.PDF icon Download paper (4.4 MB)
W. Van Hecke, Leemans, A., Sage, C. A., Veraart, J., Sijbers, J., and Sunaert, S., The effect of template selection on diffusion tensor voxel based analysis results, NeuroImage, vol. 55, pp. 566-573, 2011.
W. Van Hecke, Nagels, G., Leemans, A., Vandervliet, E., Sijbers, J., and Parizel, P. M., Correlation of cognitive dysfunction and diffusion tensor MRI measures in patients with mild and moderate multiple sclerosis, Journal of magnetic resonance imaging, vol. 31, pp. 1492-1498, 2010.
W. Van Hecke, Leemans, A., De Backer, S., Jeurissen, B., Parizel, P. M., and Sijbers, J., Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation study, Human Brain Mapping, vol. 31, pp. 98-114, 2010.
W. Van Hecke, Leemans, A., D'Agostino, E., De Backer, S., Vandervliet, E., Parizel, P. M., and Sijbers, J., Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information, IEEE Transactions on Medical Imaging, vol. 26, pp. 1598-1612, 2007.PDF icon Download paper (1.85 MB)
J. Van Houtte, Vandenberghe, F., Zheng, G., Huysmans, T., and Sijbers, J., EquiSim: An open-source articulatable statistical model of the equine distal limb, Frontiers in Veterinary Science , vol. 8, no. 75, 2021.

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