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2018
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., “High quality statistical shape modelling of the human nasal cavity and applications”, Royal Society Open Science, vol. 5, no. 12, 2018.PDF icon Download paper (1.85 MB)
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., “High quality statistical shape modelling of the human nasal cavity and applications”, Royal Society Open Science, vol. 5, no. 12, 2018.PDF icon Download paper (1.85 MB)
G. Ramos-Llordén, “Improved MRI Relaxometry through Statistical Signal Processing”, University of Antwerp, Antwerp, 2018.PDF icon Download thesis (19.25 MB)
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., “Investigating the relationship between shape and flow in the human nose using a statistical shape model”, 6th European Conference on Computational Mechanics (ECCM 6) - 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11 – 15 June 2018, Glasgow, UK. 2018.PDF icon Download abstract (90.58 KB)
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., “Investigating the relationship between shape and flow in the human nose using a statistical shape model”, 6th European Conference on Computational Mechanics (ECCM 6) - 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11 – 15 June 2018, Glasgow, UK. 2018.PDF icon Download abstract (90.58 KB)
N. Six, De Beenhouwer, J., Van Nieuwenhove, V., Vanroose, W., and Sijbers, J., “Joint reconstruction and flat-field estimation using support estimation”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.PDF icon Download paper (1.53 MB)
S. Van Aert, Fatermans, J., De Backer, A., van den Bos, K. H. W., O'Leary, C. M., Müller-Caspary, K., Jones, L., Lobato, I., Béché, A., den Dekker, A. J., Bals, S., and Nellist, P. D., “Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials”, IMC19, Sydney, Australia. 2018.
S. Van Aert, Fatermans, J., De Backer, A., van den Bos, K. H. W., O'Leary, C. M., Müller-Caspary, K., Jones, L., Lobato, I., Béché, A., den Dekker, A. J., Bals, S., and Nellist, P. D., “Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials”, IMC19, Sydney, Australia. 2018.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., “The maximum a posteriori probability rule to detect single atoms from low signal-to-noise ratio scanning transmission electron microscopy images”, IMC19, Sydney, Australia. 2018.
E. Janssens, De Beenhouwer, J., Van Dael, M., De Schryver, T., Van Hoorebeke, L., Verboven, P., Nicolai, B., and Sijbers, J., “Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection”, Measurement Science and Technology, vol. 29, no. 3, 2018.PDF icon Download paper (3.4 MB)
E. Janssens, De Beenhouwer, J., Van Dael, M., De Schryver, T., Van Hoorebeke, L., Verboven, P., Nicolai, B., and Sijbers, J., “Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection”, Measurement Science and Technology, vol. 29, no. 3, 2018.PDF icon Download paper (3.4 MB)
S. Verwulgen, Lacko, D., Vleugels, J., Vaes, K., Danckaers, F., De Bruyne, G., and Huysmans, T., “A new data structure and workflow for using 3D anthropometry in the design of wearable products”, International Journal of Industrial Ergonomics, vol. 64, pp. 108 - 117, 2018.
S. Verwulgen, Lacko, D., Vleugels, J., Vaes, K., Danckaers, F., De Bruyne, G., and Huysmans, T., “A new data structure and workflow for using 3D anthropometry in the design of wearable products”, International Journal of Industrial Ergonomics, vol. 64, pp. 108 - 117, 2018.
G. Ramos-Llordén, Vegas-Sánchez-Ferrero, G., Björk, M., Vanhevel, F., Parizel, P. M., Estépar, R. San José, den Dekker, A. J., and Sijbers, J., “NOVIFAST: A fast algorithm for accurate and precise VFA MRI T1 mapping”, IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2414 - 2427, 2018.PDF icon Download paper (3.3 MB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images”, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018.PDF icon Download paper (636.09 KB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images”, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018.PDF icon Download paper (636.09 KB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study”, Journal of Nondestructive Evaluation, vol. 37, no. 62, pp. 1573-4862, 2018.
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study”, Journal of Nondestructive Evaluation, vol. 37, no. 62, pp. 1573-4862, 2018.
N. Six, De Beenhouwer, J., and Sijbers, J., “pDART: Discrete algebraic reconstruction using a polychromatic forward model”, in The Fifth International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2018.PDF icon Download paper (1.61 MB)
B. Auer, Könik, A., Fromme, T. J., Kalluri, K., De Beenhouwer, J., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary evaluation of surface mesh modeling of system geometry, anatomy phantom, and source activity for GATE simulations”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
B. Auer, De Beenhouwer, J., Fromme, T. J., Kalluri, K., Goding, J. C., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary investigation of design parameters of an innovative multi- pinhole system dedicated to brain SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
S. Huijs, Huysmans, T., De Jong, A., Arnout, N., Sijbers, J., and Bellemans, J., “Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design”, Acta Orthop Belg, vol. 84, no. 4, pp. 452-460, 2018.
G. Liu, Nath, T., Guo, Z., Linneweber, G., Claeys, A., Li, J., Bengochea, M., De Backer, S., Weyn, B., Sneyders, M., Nicasy, H., Yu, P., Scheunders, P., and Hassan, B., “A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila”, Plos Computational Biology, vol. 14, no. 8, p. e1006410, 2018.
A. Könik, De Beenhouwer, J., Mukherjee, J. M., Kalluri, K., Banerjee, S., Zeraatkar, N., Fromme, T. J., and King, M. A., “Simulations of a Multipinhole SPECT Collimator for Clinical Dopamine Transporter (DAT) Imaging”, IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 2, pp. 444-451, 2018.
A. E. Buikema, den Dekker, A. J., and Sijbers, J., “Simultaneous T2/diffusion estimation: do we need a diffusion time dependent diffusion model?”, 10th Annual Meeting of the ISMRM Benelux Chapter. Antwerp, Belgium, 2018.

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