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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.
G. Van Gompel, Defrise, M., and Batenburg, K. J., Reconstruction of a uniform star object from interior X-ray data, in Nuclear Science Symposium Conference Record, NSS08, IEEE, Dresden, Germany, 2008, pp. 4115-4119.
G. Van Gompel, Defrise, M., and Van Dyck, D., Elliptical Extrapolation of Truncated 2D CT Projections using Helgason-Ludwig consistency conditions, in SPIE Medical Imaging: Physics of Medical Imaging, San Diego, Californa, USA, 2006, vol. 6142, pp. 1408-1417.
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 Eyndhoven, Batenburg, K. J., Oers, C. V., Kurttepeli, M., Bals, S., Cool, P., and Sijbers, J., Reliable Pore-size Measurements Based on a Procedure Specifically Designed for Electron Tomography Measurements of Nanoporous Samples, International Congress on 3D Materials Science 2014 . 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region-Based SIRT algorithm for the reconstrcution of phase bins in dynamic micro-CT, Bruker Micro-CT User Meeting. 2013.
G. Van Eyndhoven, Sijbers, J., and Batenburg, K. J., Combined Motion Estimation and Reconstruction in Tomography, in 12th European Conference on Computer Vision, Firenze, Italy, 2012, vol. 7583, pp. 12-21.PDF icon Download paper (478.83 KB)
G. Van Eyndhoven, De Beenhouwer, J., and Sijbers, J., A dynamic region estimation method for cerebral perfusion CT, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 331-342.PDF icon Download paper (840.01 KB)
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Accurate reconstruction of porous samples in CT, International Conference on Industrial Computed Tomography (ICT). 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region based 4D tomographic image reconstruction: application to cardiac X-ray CT, in IEEE International Conference on Image Processing, 2015, pp. 113 - 117.PDF icon Download paper (708.79 KB)
G. Van Eyndhoven, Model-based iterative reconstruction algorithms for computed tomography, 2015.PDF icon Download thesis (4.93 MB)
G. Van Eyndhoven and Sijbers, J., Iterative reconstruction methods in X-ray CT, in Handbook of X-ray Imaging: Physics and Technology, CRC Press, 2018, pp. 693-712.
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., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., A 4D CT reconstruction algorithm for fast liquid flow imaging, Applied Inverse Problems Conference, Helsinki. 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 Eyndhoven, Batenburg, K. J., Kazantsev, D., and Sijbers, J., An iterative prior knowledge based reconstruction algorithm for increased temporal/spatial resolution in the CT imaging of fluid flow through solid matter, Interpore 2015. 2015.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., An Algebraic Reconstruction Technique for the Study of Local Structural Changes during CT, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 137-141.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography, European Congress of Radiology 2014 (ECR 2014). 2014.
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.
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, 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)
P. Van Dyck, Vanhevel, F., De Smet, E., Parizel, P. M., Sijbers, J., and Jeurissen, B., Super-resolution Reconstruction of Knee MRI, Proc Intl Soc Mag Reson Med 26. p. 5184, 2018.
P. Van Dyck, De Smet, E., Froeling, M., Verdonk, P., Torfs, M., Pullens, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 377, 2017.
D. Van Dyck, Bettens, E., Sijbers, J., den Dekker, A. J., van den Bos, A., Op de Beeck, M., Jansen, J., and Zandbergen, H., Resolving atoms: what do we have? what do we want?, in Institute of Physics Conference Series, vol. 153, J. M. Rodenburg, Ed. Cambridge, UK: Institute of Physics Ltd, 1997, pp. 95-100.
D. Van Dyck and Garcia, J., INFOTREE: A new generic method for supervised pattern, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.

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