Publications

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C
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.
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.
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.
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)
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)
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.
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.
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.
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.
B
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.
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.
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)
M. Brackx, Verhelst, J., Scheunders, P., and Samson, R., On the use of dorsiventral reflectance asymmetry of hornbeam (Carpinus betulus L.) leaves in air pollution estimation, Environmental Monitoring and Assessment, vol. 189, no. 9, 2017.
M. Brackx, Van Wittenberghe, S., Verhelst, J., Scheunders, P., and Samson, R., Hyperspectral leaf reflectance of Carpines betulus L. saplings for urban air quality estimation, Environmental Pollution, vol. 220, pp. 159-167, 2017.
T. Boumans, Vignal, C., Smolders, A., Sijbers, J., Verhoye, M., Van Audekerke, J., and Van Der Linden, A., Functional magnetic resonance imaging in zebra finch discerns the neural substrate involved in segregation of conspecific song from background noise, Journal of Neurophysiology, vol. 99, pp. 931-938, 2008.PDF icon Download full paper (832.59 KB)
B. Bosmans, Huysmans, T., Lopes, P., Verhoelst, E., Dezutter, T., de Jaegere, P., Sijbers, J., Vander Sloten, J., and Bosmans, J., Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation, Medical & Biological Engineering & Computing, vol. 57, no. 10, pp. 2081–2092, 2019.PDF icon Download paper (1.79 MB)
B. Bosmans, Huysmans, T., Wirix-Speetjens, R., Verschueren, P., Sijbers, J., Bosmans, J., and Vander Sloten, J., Statistical shape modeling and population analysis of the aortic root of TAVI patients, Journal of Medical Devices, vol. 7, no. 4, 2013.

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