Publications

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T. De Schryver, Dhaene, J., Dierick, M., Boone, M. N., Janssens, E., Sijbers, J., Van Dael, M., Verboven, P., Nicolai, B., and Van Hoorebeke, L., “In-line NDT with X-Ray CT combining sample rotation and translation”, NDT & E International, vol. 89, pp. 89–98, 2016.
T. Van De Looverbosch, Jiaqi, H., Tempelaere, A., Kelchtermans, K., Verboven, P., Tuytelaars, T., Sijbers, J., and Nicolai, B., “Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images”, Computers and Electronics in Agriculture, vol. 197, no. 106962, pp. 1-14, 2022.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data”, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
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.
A. Van Ombergen, Wuyts, F. L., Jeurissen, B., Sijbers, J., Vanhevel, F., Jillings, S., Parizel, P. M., Sunaert, S., Van de Heyning, P. H., Dousset, V., Laureys, S. S. L., and Demertzi, A., “Intrinsic connectivity reduces in vestibular-related regions after first-time exposure to short-term gravitational alterations”, Scientific Reports, vol. 7, no. 3061, 2017.PDF icon Download paper (3.47 MB)
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., “Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.”, Human Brain Mapping, vol. 34, pp. 2747-66, 2013.
D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Investigating tissue-specific abnormalities in Alzheimer’s disease with multi-shell diffusion MRI”, Journal of Alzheimer's Disease, vol. 90, no. 4, pp. 1771-1791, 2022.
K. Zarei Zefreh, “Investigation on the effect of exposure time on scintillator afterglow for ultra-fast tomography acquisition”, Journal of Instrumentation, vol. 11, 2016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Information-based methods for neuroimaging: analyzing structure, function and dynamics, p. 112, 2015.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Frontiers in Neuroinformatics, vol. 8, pp. 1-9, 2014.PDF icon Download paper (1.79 MB)
R. Riji, Rajan, J., Sijbers, J., and Nair, M. S., “Iterative bilateral filter for Rician noise reduction in MR images”, Signal, Image and Video Processing , 2014.
G. Van Gompel, Van Slambrouck, K., Defrise, M., Batenburg, K. J., De Mey, J., Sijbers, J., and Nuyts, J., “Iterative correction of beam hardening artifacts in CT”, Medical Physics, vol. 38, pp. 36-49, 2011.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., “An iterative CT reconstruction algorithm for fast fluid flow imaging”, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4446-4458, 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.
M. Ljubenović, Zhuang, L., De Beenhouwer, J., and Sijbers, J., “Joint Deblurring and Denoising of THz Time-Domain Images”, IEEE Access, vol. 9, pp. 162-176, 2021.PDF icon Download paper (2.38 MB)
Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., “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.PDF icon Download paper (final author version) (2.15 MB)
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., “Joint multi-contrast CT for edge illumination X-ray phase contrast imaging using split Barzilai-Borwein steps”, Optics Express, vol. 32, no. 2, pp. 1135-1150, 2024.PDF icon Download paper (13.42 MB)
E. Fransen, Dhooghe, R., Van Camp, G., Verhoye, M., Sijbers, J., Reyniers, E., Soriano, P., Kamiguchi, H., Willemsen, R., Koekoek, K. E., Zeeuw, D. C. I., De Deyn, P. P., Van Der Linden, A., Lemmon, V., Kooy, R. F., and Willems, P. J., “L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns”, Human Molecular Genetics, vol. 7, pp. 999-1009, 1998.PDF icon Download paper (248.02 KB)
A. J. den Dekker, Poot, D. H. J., Bos, R., and Sijbers, J., “Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study”, IEEE Transactions on Medical Imaging, vol. 28, pp. 287-296, 2009.
J. Sijbers, den Dekker, A. J., and Bos, R., “A likelihood ratio test for functional MRI data analysis to account for colored noise”, Lecture Notes in Computer Science, vol. 3708, pp. 538-546, 2005.PDF icon Download full paper (483.15 KB)
L. Emsell, Leemans, A., Langan, C., Van Hecke, W., Barker, G. J., McCarthy, P., Jeurissen, B., Sijbers, J., Sunaert, S., Cannon, D. M., and McDonald, C., “Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study”, Biologicial Psychiatry, vol. 73, no. 2, pp. 194-201, 2013.
V. Van Nieuwenhove, Van Eyndhoven, G., Batenburg, K. J., Buls, N., Vandemeulebroucke, J., De Beenhouwer, J., and Sijbers, J., “Local Attenuation Curve Optimization (LACO) framework for high quality perfusion maps in low-dose cerebral perfusion CT”, Medical Physics, vol. 43, no. 12, pp. 6429-6438, 2016.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Bazrafkan, S., Dirckx, J. J. J., and Sijbers, J., “A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system”, Nondestructive Testing and Evaluation , vol. 35, no. 3, pp. 252-265, 2020.
B. G. Booth, Sijbers, J., and De Beenhouwer, J., “A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants”, Scientific Reports, vol. 10, no. 661, 2020.
J. Juntu, Sijbers, J., De Backer, S., Rajan, J., and Van Dyck, D., “A Machine Learning Study of Several Classifiers Trained with Texture Analysis Features to Differentiate Benign from Malignant Soft Tissue Tumors in T1-MRI Images”, Journal of Magnetic Resonance Imaging, vol. 31, pp. 680–689, 2010.PDF icon Download paper (300.61 KB)

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