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M. Bührer, Xu, H., Eller, J., Sijbers, J., Stampanoni, M., and Marone, F., “Unveiling Water Dynamics in Fuel Cells from Time-Resolved Tomographic Microscopy Data”, Scientific Reports, vol. 10, no. 16388 , 2020.PDF icon Download paper (4.12 MB)
D. Burazerovic, Geens, B., Heylen, R., Sterckx, S., and Scheunders, P., “Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques”, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 3, pp. 1070-1078, 2013.
D. Burazerovic, Heylen, R., Raymaekers, D., Knaeps, E., and Scheunders, P., “A spectral-unmixing approach to estimate water-mass concentrations in case-II waters”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, 2014.
E. Byl, Bladt, P., Lebeer, S., and Kiekens, F., “Importance of pressure plasticity during compression of probiotic tablet formulations”, European Journal of Pharmaceutics and Biopharmaceutics, vol. 145, pp. 7-11, 2019.
C
F. Calamante, Jeurissen, B., Smith, R. E., Tournier, J. - D., and Connelly, A., “The role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite density”, Magnetic Resonance in Medicine, vol. 79, no. 5, pp. 2738–2744, 2018.
J. Cant, Snoeckx, A., Behiels, G., Parizel, P. M., and Sijbers, J., “Can portable tomosynthesis improve the diagnostic value of bedside chest X-ray in the intensive care unit? A proof of concept study”, European Radiology Experimental, vol. 1, no. 20, pp. 1-7, 2017.
J. Cant, Palenstijn, W. J., Behiels, G., and Sijbers, J., “Modeling blurring effects due to continuous gantry rotation: application to region of interest tomography”, Medical Physics, vol. 42, no. 5, pp. 2709-2717, 2015.
T. B. A. de Carvalho, Sibaldo, M. A., Tsang, I. J., Cavalcanti, G. D. C., Sijbers, J., and Tsang, I. R., “IntensityPatches and RegionPatches for Image Recognition”, Applied Soft Computing, vol. 62, pp. 176-186, 2018.
D. Ali Chaghdo, Koirala, B., Cristina, L., De Kock, T., Fontaine, L., Hayen, R., and Scheunders, P., “Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging”, Scientific Data, vol. 13, p. 102, 2025.PDF icon moisture_content_estimation_of_porous_building_sto.pdf (4.32 MB)
J. Christopher, Lumbeeck, L. - P., Paramonov, P., De Beenhouwer, J., and Sijbers, J., “Discrete Terahertz tomography: a simulation study”, e-Journal of Nondestructive Testing, vol. 27, no. 3, 2022.PDF icon Download paper (345.5 KB)
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters”, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
Q. Collier, Veraart, J., Jeurissen, B., Vanhevel, F., Pullens, P., Parizel, P. M., den Dekker, A. J., and Sijbers, J., “Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach”, Magnetic Resonance in Medicine, vol. 80, no. 2, pp. 802-813, 2018.PDF icon Download paper (1.93 MB)
S. Cools, Ghysels, P., Van Aarle, W., Sijbers, J., and Vanroose, W., “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems”, Journal of Computational and Applied Mathematics, vol. 238, no. 1, pp. 1-16, 2015.
W. R. Crum, Danckaers, F., Huysmans, T., Cotel, M. - C., Natesan, S., Modo, M. M., Sijbers, J., Williams, S. C. R., Kapur, S., and Vernon, A. C., “Chronic exposure to haloperidol and olanzapine leads to common and divergent shape changes in the rat hippocampus in the absence of grey-matter volume loss”, Psychological Medicine, vol. 46, no. 15, pp. 3081-3093, 2016.
A. Cuyt, Sijbers, J., Verdonk, B., and Van Dyck, D., “Region and Contour Identification of Physical Objects”, Applied Numerical Analysis Computational Mathematics, vol. 1, pp. 343-352, 2004.
D
W. D'haes, Van Dyck, D., and Rodet, X., “PCA-based Branch and Bound Search Algorithms for Computing K Nearest Neighbors”, Pattern Recognition Letters, vol. 24, pp. 1437-1451, 2003.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.PDF icon Download paper (6.13 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Adaptive zooming in X-ray computed tomography”, Journal of X-Ray Science and Technology, vol. 22, pp. 77-89, 2014.PDF icon Download paper (3.75 MB)
F. Danckaers, Huysmans, T., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Building a Statistical Shape Model of the Apple from Corresponded Surfaces”, Chemical Engineering Transactions, vol. 44, pp. 49-54, 2015.PDF icon Download paper (696.94 KB)
F. Danckaers, Stanković, K., Huysmans, T., Booth, B. G., and Sijbers, J., “Foot shape assessment techniques for orthotic and footwear applications: a methodological literature review”, Frontiers in Bioengineering and Biotechnology, vol. 12, pp. 1-15, 2024.PDF icon Download paper (1.99 MB)
F. Danckaers, Huysmans, T., Hallemans, A., De Bruyne, G., Truijen, S., and Sijbers, J., “Posture normalization of 3D body scans”, Ergonomics, vol. 62, no. 6, pp. 834-848, 2019.PDF icon Download paper (5.03 MB)
F. Danckaers, Huysmans, T., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Building 3D Statistical Shape Models of Horticultural Products”, Food and Bioprocess Technology, vol. 10, no. 11, pp. 2100-2112, 2017.PDF icon Download paper (1.73 MB)
S. De Backer and Scheunders, P., “A competitive elliptical clustering algorithm”, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
S. De Backer and Scheunders, P., “Texture segmentation by frequency-sensitive elliptical competitive learning”, Image and Vision Computing, vol. 19, pp. 639-648, 2001.

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