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2020
Frenkel, D., J. De Beenhouwer, and J. Sijbers, "An adaptive probability map for the Discrete Algebraic Reconstruction Technique", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Fröhler, B., T. Elberfeld, T. Möller, H-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, "Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020. PDF icon Download paper (703.79 KB)
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", Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping, Cham, Springer International Publishing, pp. 464–470, 2020.
Presenti, A., S. Bazrafkan, J. Sijbers, and J. De Beenhouwer, "Deep learning-based 2D-3D sample pose estimation for X-ray 3DCT", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Keustermans, W., T. Huysmans, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "The effect of nasal shape on the thermal conditioning of inhaled air: Using clinical tomographic data to build a large-scale statistical shape model", Computers in Biology and Medicine, vol. 117, 2020.
Beirinckx, Q., G. Ramos-Llordén, B. Jeurissen, D. H. J. Poot, P. M. Parizel, M. Verhoye, J. Sijbers, and A J. den Dekker, "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.
Booth, B. G., J. Sijbers, and J. De Beenhouwer, "A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants", Scientific Reports, vol. 10, issue 661, 2020.
2019
Danckaers, F., T. Huysmans, and J. Sijbers, "Adaptable digital human models from 3D body scans", DHM and Posturography, vol. VI: Academic Press, pp. 459-470, 2019.
Booth, B. G., N. L. W. Keijsers, T. Huysmans, and J. Sijbers, "Advancing Analysis Techniques for Plantar Pressure Videos via Open-Access Contributions", IEEE International Symposium on Biomedical Imaging (ISBI'19) , 2019. PDF icon Download abstract (86 KB)
Pechenkova, E., I. Nosikova, A. Rumshiskaya, L. Litvinova, I. Rukavishnikov, E. Mershina, V. Sinitsyn, A. Van Ombergen, B. Jeurissen, S. Jillings, et al., "Alterations of Functional Brain Connectivity After Long-Duration Spaceflight as Revealed by fMRI.", Front Physiol, vol. 10, pp. 761, 2019.
Bosmans, B., T. Huysmans, P. Lopes, E. Verhoelst, T. Dezutter, P. de Jaegere, J. Sijbers, J. Vander Sloten, and J. Bosmans, "Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation", Medical & Biological Engineering & Computing, vol. 57, issue 10, pp. 2081–2092, Jul, 2019. PDF icon Download paper (1.8 MB)
Van Houtte, J., K. Stanković, B. G. Booth, F. Danckaers, V. Bertrand, F. Verstreken, J. Sijbers, and T. Huysmans, "An Articulating Statistical Shape Model of the Human Hand", Advances in Human Factors in Simulation and Modeling (AHFE 2018), vol. 780, Cham, Springer International Publishing, pp. 433–445, 2019.
Van Dyck, P., K. Zazulia, C. Smekens, C. H. W. Heusdens, T. Janssens, and J. Sijbers, "Assessment of Anterior Cruciate Ligament Graft Maturity With Conventional Magnetic Resonance Imaging", The Orthopaedic Journal of Sports Medicine, vol. 7, issue 6, pp. 1-9, 2019. PDF icon Download paper (202.39 KB)
Booth, B. G., N. L. W. Keijsers, J. Sijbers, and T. Huysmans, "An assessment of the information lost when applying data reduction techniques to dynamic plantar pressure measurements", Journal of Biomechanics , vol. 87, pp. 161-166, 2019.
Danckaers, F., S. Scataglini, R. Haelterman, D. Van Tiggelen, T. Huysmans, and J. Sijbers, "Automatic Generation of Statistical Shape Models in Motion", Advances in Human Factors in Simulation and Modeling (AHFE 2018), vol. 780, Cham, Springer International Publishing, pp. 170–178, 2019.
Bladt, P., M.J.P. van Osch, E. Achten, A J. den Dekker, and J. Sijbers, "Beyond the consensus: is sacrificing part of the PCASL scan time for measurement of labeling efficiency and T1 of blood beneficial?", University of Michigan international workshop on arterial spin labeling MRI: technical updates and clinical experience, March 9-10 2019, Ann Arbor, USA, 2019. PDF icon Download abstract (1.31 MB)
Bladt, P., M.J.P. van Osch, E. Achten, A J. den Dekker, and J. Sijbers, "Beyond the consensus: should measurement of T1 of blood and labeling efficiency be included and should a single- or multi-PLD protocol be used in a five-minute protocol for PCASL?", 11th Annual Meeting of ISMRM Benelux, January 17th 2019, Leiden, The Netherlands, 2019.
Bladt, P., M.J.P. van Osch, E. Achten, A J. den Dekker, and J. Sijbers, "Beyond the consensus: what to include when 5 minutes are available for perfusion imaging by PCASL?", 27th Annual Meeting of ISMRM, Montreal, Canada, 2019.
Van Ombergen, A., S. Jillings, B. Jeurissen, E. Tomilovskaya, A. Rumshiskaya, L. Litvinova, I. Nosikova, E. V. Pechenkova, I. Rukavishnikov, O. Manko, et al., "Brain ventricular volume changes induced by long-duration spaceflight", Proceedings of the National Academy of Sciences, vol. 116, issue 21, pp. 10531-10536, 2019.
Presenti, A., J. Sijbers, A J. den Dekker, and J. De Beenhouwer, "CAD-based defect inspection with optimal view angle selection based on polychromatic X-ray projection images", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (219.28 KB)
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.
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.
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.

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