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2019
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.
Van Ombergen, A., S. Jillings, B. Jeurissen, E. Tomilovskaya, A. Rumshiskaya, L. Litvinova, I. Nosikova, E. Pechenkova, I. Rukavishnikov, O. Manko, et al., "Brain ventricular volume changes induced by long-duration spaceflight", Proceedings of the National Academy of Sciences, 2019.
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.
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.
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.
Heylen, R., V. Andrejchenko, Z. Zahiri, M. Parente, and P. Scheunders, "Nonlinear hyperspectral unmixing with graphical models", IEEE Transaction on Geoscience and Remote Sensing, 2019.
Naeyaert, M., D. Roose, Z. Mai, A. J. Keliris, J. Sijbers, A. Van Der Linden, and M. Verhoye, "Normalized Averaged Range (nAR), a Robust Quantification Method for MPIO-content", Journal of Magnetic Resonance, vol. 300, pp. 18-27, 2019.
Danckaers, F., T. Huysmans, A. Hallemans, G. De Bruyne, S. Truijen, and J. Sijbers, "Posture normalization of 3D body scans", Ergonomics, 2019. PDF icon Download paper (5.03 MB)
Roine, T., B. Jeurissen, D. Perrone, J. Aelterman, W. Philips, J. Sijbers, and A. Leemans, "Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks", Medical Image Analysis, vol. 52, pp. 56-67, 2019. PDF icon Download paper (4.03 MB)
2018
Batenburg, K. J., F. De Carlo, L. Mancini, and J. Sijbers, "Advanced X-ray tomography: experiment, modeling, and algorithms", Measurement Science and Technology, vol. 29, issue 8, pp. 080101, 2018.
Van Ombergen, A., S. Jillings, B. Jeurissen, E. Tomilovskaya, M. Rühl, A. Rumshiskaya, I. Nosikova, L. Litvinova, J. Annen, E. V. Pechenkova, et al., "Brain Tissue–Volume Changes in Cosmonauts", New England Journal of Medicine, vol. 379, issue 17, pp. 1678 - 1680, 2018.
Asaari, M. Shahrimie, P. Mishra, S. Mertens, S. Dhondt, D. Inze, N. Wuyts, and P. Scheunders, "Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform", ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
Praet, J., N. Manyakov, L. Muchene, Z. Mai, V. Terzopoulos, S. De Backer, A. Torremans, P. J. Guns, T. Van De Casteele, A. Bottelbergs, et al., "Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology.", Alzheimer's Research & Therapy , vol. 10, issue 1, pp. 1-16, 2018.
Collier, Q., J. Veraart, B. Jeurissen, F. Vanhevel, P. Pullens, P. M. Parizel, A J. den Dekker, and J. Sijbers, "Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach", Magnetic Resonance in Medicine, vol. 80, issue 2, pp. 802-813, 2018. PDF icon Download paper (1.93 MB)
Jeurissen, B., M. Descoteaux, S. Mori, and A. Leemans, "Diffusion MRI fiber tractography of the brain", NMR in Biomedicine, 2018.
Van de Casteele, E., E. Perilli, W. Van Aarle, K. Reynolds, and J. Sijbers, "Discrete tomography in an in vivo small animal bone study", Journal of Bone and Mineral Metabolism, vol. 36, issue 1, pp. 40–53, 2018.
Goyens, J., M. Vasilopoulou-Kampitsi, R. Claes, J. Sijbers, and L. Mancini, "Enhanced contrast in X-ray microtomographic images of the membranous labyrinth using different X-ray sources and scanning modes", Journal of Anatomy, vol. 233, pp. 770--782, 2018. PDF icon Download paper (1.44 MB)
Keustermans, W., T. Huysmans, F. Danckaers, A. Zarowski, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "High quality statistical shape modelling of the human nasal cavity and applications", Royal Society Open Science, vol. 5, issue 12, 2018. PDF icon Download paper (1.85 MB)
de Carvalho, T. B. A., M. A. Sibaldo, I J. Tsang, G. D. C. Cavalcanti, J. Sijbers, and I R. Tsang, "IntensityPatches and RegionPatches for Image Recognition", Applied Soft Computing, vol. 62, pp. 176-186, 2018.
Aerts, H., M. Schirner, B. Jeurissen, D. Van Roost, E. Achten, P. Ritter, and D. Marinazzo, "Modeling brain dynamics in brain tumor patients using The Virtual Brain", eNeuro, 2018.
Janssens, E., J. De Beenhouwer, M. Van Dael, T. De Schryver, L. Van Hoorebeke, P. Verboven, B. Nicolai, and J. Sijbers, "Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection", Measurement Science and Technology, vol. 29, issue 3, 2018. PDF icon Download paper (3.4 MB)
Verwulgen, S., D. Lacko, J. Vleugels, K. Vaes, F. Danckaers, G. De Bruyne, and T. Huysmans, "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.
Rasti, B., P. Scheunders, P. Ghesami, G. Licciardi, and J. Chanussot, "Noise reduction in hyperspectral imagery: overview and application", Remote Sensing , vol. 10, issue 3, pp. 482, 2018.
Ramos-Llordén, G., G. Vegas-Sánchez-Ferrero, M. Björk, F. Vanhevel, P. M. Parizel, R. San José Estépar, A J. den Dekker, and J. Sijbers, "NOVIFAST: A fast algorithm for accurate and precise VFA MRI T1 mapping", IEEE Transactions on Medical Imaging, vol. 37, issue 11, pp. 2414 - 2427, 2018. PDF icon Download paper (3.3 MB)

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