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Journal Article
N. Six, De Beenhouwer, J., and Sijbers, J., poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT, Optics Express, vol. 27, no. 23, pp. 33427-33435, 2019.PDF icon Download paper (997.08 KB)
J. Veraart, Leergaard, T. B., Antonsen, B. T., Van Hecke, W., Blockx, I., Jeurissen, B., Jiang, Y., Van Der Linden, A., Johnson, A. G., Verhoye, M., and Sijbers, J., Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain, NeuroImage, vol. 58, no. 4, pp. 975-983, 2011.
G. Van Eyndhoven, Kurttepeli, M., Van Oers, C. J., Cool, P., Bals, S., Batenburg, K. J., and Sijbers, J., Pore REconstruction and Segmentation (PORES) method for improved porosity quantification of nanoporous materials, Ultramicroscopy, vol. 148, pp. 10-19, 2015.
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, 2019.PDF icon Download paper (5.03 MB)
S. Huijs, Huysmans, T., De Jong, A., Arnout, N., Sijbers, J., and Bellemans, J., Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design, Acta Orthop Belg, vol. 84, no. 4, pp. 452-460, 2018.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.
D. Lacko, Huysmans, T., Vleugels, J., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., Product sizing with 3D anthropometry and k-medoids clustering, Computer-Aided Design, vol. 91, pp. 60-74, 2017.
J. Sijbers, Scheunders, P., Bonnet, N., Van Dyck, D., and Raman, E., Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure, Magnetic Resonance Imaging, vol. 14, pp. 1157-1163, 1996.PDF icon Download paper (1.31 MB)
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., de Nijs, B., van Huis, M. A., Sánchez-Iglesias, A., Liz-Marzán, L. M., van Blaaderen, A., Batenburg, K. J., Bals, S., and Van Tendeloo, G., Quantitative 3D analysis of huge nanoparticle assemblies., Nanoscale, vol. 8, no. 1, pp. 292-9, 2016.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., van Nijs, B., van Huis, M. A., van Blaaderen, A., Sánchez-Iglesias, A., Liz-Marzán, L. M., Batenburg, K. J., Bals, S., and Van Tendeloo, G., Quantitative 3D analysis of huge nanoparticle assemblies, Nanoscale, vol. 8, no. 1, pp. 292-299, 2015.
C. A. Sage, Van Hecke, W., Peeters, R. R., Sijbers, J., Robberecht, W., Parizel, P. M., Marchal, G., Leemans, A., and Sunaert, S., Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: revisited., Human brain mapping, vol. 30, no. 11, pp. 3657-75, 2009.
S. Bals, Batenburg, K. J., Verbeeck, J., Sijbers, J., and Van Tendeloo, G., Quantitative three-dimensional reconstruction of catalyst particles for bamboo-like carbon nanotubes, Nano Letters, vol. 7, pp. 3669-3674, 2007.
T. Roelandts, Batenburg, K. J., den Dekker, A. J., and Sijbers, J., The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014.PDF icon Download paper (4.58 MB)
J. Sijbers, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Reduction of ECG and gradient related artifacts in simultaneously recorded human EEG/MRI data, Magnetic Resonance Imaging, vol. 18, pp. 881-886, 2000.PDF icon Download paper (2 MB)
J. Sijbers and Postnov, A., Reduction of ring artifacts in high resolution micro-CT reconstructions, Physics in Medicine and Biology, vol. 49, pp. 247-253, 2004.
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.
T. De Bondt, Jacquemyn, Y., Van Hecke, W., Sijbers, J., Sunaert, S., and Parizel, P. M., Regional gray matter volume differences and sex-hormone correlations as a function of menstrual cycle phase and hormonal contraceptives use., Brain research, vol. 1530, pp. 22-31, 2013.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region-based iterative reconstruction of structurally changing objects in CT, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 909-919, 2014.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., 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)
J. Sijbers, Michiels, I., Verhoye, M., Van Audekerke, J., Van Der Linden, A., and Van Dyck, D., Restoration of MR induced artifacts in simultaneously recorded MR/EEG data, Magnetic Resonance Imaging, vol. 17, pp. 1383-1393, 1999.PDF icon Download full paper (519.76 KB)
Z. Mai, Rajan, J., Verhoye, M., and Sijbers, J., Robust edge-directed interpolation of magnetic resonance images, Physics in medicine and biology, vol. 56, pp. 7287-7303, 2011.PDF icon Download paper (1.3 MB)
P. Pullens, Bladt, P., Sijbers, J., Maas, A. I. R., and Parizel, P. M., A safe, cheap and easy-to-use isotropic diffusion phantom for clinical and multicenter studies, Medical Physics, vol. 44, no. 3, pp. 1063–1070, 2017.
M. Van Dael, Lebotsa, S., Herremans, E., Verboven, P., Sijbers, J., Opara, U. L., Cronje, U. L., and Nicolai, B., A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs, Postharvest Biology and Technology, vol. 112, pp. 205-214, 2016.
K. J. Batenburg, Van Aarle, W., and Sijbers, J., A Semi-Automatic Algorithm for Grey Level Estimation in Tomography, Pattern Recognition Letters, vol. 32, pp. 1395-1405, 2011.
V. Van Meir, Boumans, T., De Groof, G., Van Audekerke, J., Smolders, A., Scheunders, P., Sijbers, J., Verhoye, M., Balthazart, J., and Van Der Linden, A., Spatiotemporal properties of the BOLD response in the songbirds auditory circuit during a variety of listening tasks, NeuroImage, vol. 25, pp. 1242-1255, 2005.