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Journal Article
Y. D. Reijmer, Leemans, A., Heringa, S. M., Wielaard, I., Jeurissen, B., Koek, H. L., and Biessels, G. J., Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography., PloS one, vol. 7, no. 8, p. e44074, 2012.
T. Huysmans, Sijbers, J., Vanpoucke, F., and Verdonk, B., Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization, Lecture Notes in Computer Science, vol. 4091, pp. 84-91, 2006.
G. De Groof, Verhoye, M., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds, NeuroImage, vol. 29, pp. 754-763, 2006.
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., Increased coherence of white matter fiber tract organization in adults with Asperger syndrome: A diffusion tensor imaging study, Autism Research, vol. 6, no. 6, pp. 642-650, 2013.PDF icon Download paper (1.2 MB)
S. B. Vos, Jones, D. K., Jeurissen, B., Viergever, M. A., and Leemans, A., The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain, NeuroImage, vol. 59, no. 3, pp. 2208 - 2216, 2012.
P. M. Parizel, Van Rompaey, V., Loock, V. R., Van Hecke, W., Van Goethem, J., Leemans, A., and Sijbers, J., Influence of User-Defined Parameters on Diffusion Tensor Tractography of the Corticospinal Tract, The Neuroradiology Journal, pp. 139-147, 2007.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Leemans, A., and Sijbers, J., Informed constrained spherical deconvolution (iCSD), Medical Image Analysis, vol. 24, no. 1, pp. 269–281, 2015.PDF icon Download accepted manuscript (987.95 KB)
D. Van Dyck and Garcia, J., INFOTREE: A new generic method for supervised pattern, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.
L. F. Alves Pereira, Janssens, E., Cavalcanti, G. D. C., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Inline Discrete Tomography system: application to agricultural product inspection, Computers and Electronics in Agriculture, vol. 138, pp. 117–126, 2017.
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.
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.
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)
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.
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.
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.
P. Scheunders, Joint quantization and error-diffusion of color images using competitive learning, Journal of the IEE Proceedings, Vision, Image and Signal Processing, vol. 14, pp. 137-140, 1998.
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.

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