Publications

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Author Type [ Year(Desc)]
2019
Verhelst, H., D. Giraldo, C. Vander Linden, G. Vingerhoets, B. Jeurissen, and K. Caeyenberghs, "Cognitive Training in Young Patients With Traumatic Brain Injury: A Fixel-Based Analysis.", Neurorehabil Neural Repair, pp. 1545968319868720, 2019 Aug 16.
Van Dael, M., P. Verboven, A. Zanella, J. Sijbers, and B. Nicolai, "Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography", Postharvest Biology and Technology, vol. 148, pp. 218-227, 2019.
Peeters, T., J. Vleugels, S. Verwulgen, F. Danckaers, T. Huysmans, J. Sijbers, and G. De Bruyne, "A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling", International Conference on Applied Human Factors and Ergonomics, vol. 975, pp. 464–470, 2019.
Goto, L., T. Huysmans, W. Lee, J. F. M. Molenbroek, and R. Goossens, "A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis", Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII, vol. VII: Springer International Publishing, pp. 1355–1364, 2019.
Andrejchenko, V., W. Liao, W. Philips, and P. Scheunders, "Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields", Remote Sensing, vol. 11, 2019.
Van Houtte, J., S. Bazrafkan, F. Vandenberghe, G. Zheng, and J. Sijbers, "A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs", International Conference on Image Processing Theory, Tools, and Applications, 2019.
Sabidussi, E. Ribeiro, M. Nicastro, S. Bazrafkan, Q. Beirinckx, B. Jeurissen, A J. den Dekker, S. Klein, and D. H. J. Poot, "A deep learning approach to T1 mapping in quantitative MRI", 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1), no. S09.05: Magn Reson Mater Phy, 2019.
Rimpelainen, J., S. Bazrafkan, J. Sijbers, and J. De Beenhouwer, "Deep learning based missing wedge artefact removal for electron tomography", Microscopy Conference, Berlin, Germany, pp. 660-661, 2019.
Scataglini, S., F. Danckaers, T. Huysmans, J. Sijbers, and G. Andreoni, "Design smart clothing using digital human models", DHM and Posturography, vol. X: Academic Press, 2019.
Verwulgen, S., D. Lacko, H. Justine, S. Kustermans, S. Moons, F. Thys, S. Zelck, K. Vaes, T. Huysmans, J. Vleugels, et al., "Determining Comfortable Pressure Ranges for Wearable EEG Headsets", Advances in Human Factors in Wearable Technologies and Game Design, Cham, Springer International Publishing, pp. 11–19, 2019.
Danckaers, F., "The Development of 3D Statistical Shape Models for Diverse Applications", Department of Physics, vol. PhD in Sciences, 2019.
Buikema, A. E., A J. den Dekker, and J. Sijbers, "Diffusion time dependence in the mid-time regime: a simulation study using PGSE.", 27th Annual Meeting of the ISMRM, no. 3572, Montreal, Canada, 2019.
Presenti, A., J. Sijbers, and J. De Beenhouwer, "Dynamic angle selection for few-view X-ray inspection of CAD based objects", 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), vol. 11072, 2019.
Buikema, A. E., A J. den Dekker, and J. Sijbers, "Effect of diffusion time dependence on parameter estimation in the clinical time frame: a simulation study using PGSE", 11th Annual Meeting of the ISMRM Benelux Chapter, Leiden, the Netherlands, 2019.
Janssens, E., J. Sijbers, M. Dierick, and J. De Beenhouwer, "Fast detection of cracks in ultrasonically welded parts by inline X-ray inspection", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
Elberfeld, T., J. De Beenhouwer, and J. Sijbers, "Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction", 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), vol. 11072, 2019. PDF icon Download paper (5.15 MB)
"Fractional abundance estimation of mixed and compound materials by hyperspectral imaging.", 10th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Sept 2019, 2019.
Weissenböck, J., B. Fröhler, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, S. Ayalur Karunakaran, H. Hoeller, J. Kastner, and C. Heinzl, "An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (1.22 MB)
Mukunthan, S., J. Vleugels, T. Huysmans, and G. De Bruyne, "Latent Heat Loss of a Virtual Thermal Manikin for Evaluating the Thermal Performance of Bicycle Helmets", Advances in Human Factors in Simulation and Modeling, Cham, Springer International Publishing, pp. 66–78, 2019.
Nguyen, V., J. De Beenhouwer, J. Sanctorum, S. Van Wassenbergh, P. Aerts, J. J. J. Dirckx, and J. Sijbers, "A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (1.93 MB)
Keustermans, W., T. Huysmans, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "Matlab® toolbox for semi-automatic segmentation of the human nasal cavity based on active shape modeling", Computers in Biology and Medicine, vol. 105, pp. 27-38, 2019.
Fatermans, J., S. Van Aert, and A J. den Dekker, "The maximum a posteriori probability rule for atom column detection from HAADF STEM images", Ultramicroscopy, vol. 201, pp. 81-91, 2019.
Sanctorum, J., D. Adriaens, J. J. J. Dirckx, J. Sijbers, C. Van Ginneken, P. Aerts, and S. Van Wassenbergh, "Methods for characterization and optimisation of measuring performance of stereoscopic x-ray systems with image intensifiers", Measurement Science and Technology, vol. 30, issue 10, 2019.
Elberfeld, T., S. Bazrafkan, J. De Beenhouwer, and J. Sijbers, "Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images", 4th International Conference on Tomography of Materials & Structures, 07/2019.
Scataglini, S., F. Danckaers, R. Haelterman, T. Huysmans, and J. Sijbers, "Moving Statistical Body Shape Models Using Blender", Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, Springer International Publishing, pp. 28–38, 2019.

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