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Journal Article
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.
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. Koirala, Zahiri, Z., Lamberti, A., and Scheunders, P., Robust supervised method for nonlinear spectral unmixing accounting for endmember variability, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7434-7448, 2021.PDF icon ieee_version.pdf (3.76 MB)
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)
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 paper (1.09 MB)
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)
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. 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.
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.
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.
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)
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data., NeuroImage, vol. 86, pp. 67-80, 2014.
E. Ribeiro Sabidussi, Klein, S., Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., Recurrent Inference Machines as inverse problem solvers for MR relaxometry, Medical Image Analysis, vol. 74, pp. 1-11, 2021.PDF icon Download paper (2.26 MB)
B. Auer, Kalluri, K., De Beenhouwer, J., Doty, K., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., Reconstruction using Depth of Interaction Information of Curved and Flat Detector Designs for Quantitative Multi-Pinhole Brain SPECT, Journal of Nuclear Medicine, vol. 61, p. 103, 2020.PDF icon snm2020_recon_curved.pdf (103.23 KB)
G. Van Gompel, Defrise, M., and Batenburg, K. J., Reconstruction of a uniform star object from interior x-ray data: uniqueness, stability and algorithm, Inverse Problems, vol. 25, 2009.
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)
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.
P. Fillard, Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., Reisert, M., Sakaie, K., Tensaouti, F., Yo, T. - S., Mangin, J. - F., and Poupon, C., Quantitative Evaluation of 10 Tractography Algorithms on a Realistic Diffusion MR Phantom, NeuroImage, vol. 56, pp. 220-234, 2011.
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.
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.
D. Giraldo, Sijbers, J., and Romero, E., Quantification of cognitive impairment to characterize heterogeneity of patients at risk of developing Alzheimer's disease dementia, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 13, no. 1, p. e12237, 2021.
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)
M. Roshani, Phan, G., Faraj, R. Hassan, Phan, N. - H., Roshani, G. Hossein, Corniani, E., and Nazemi, E., Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products, Nuclear Engineering and Technology, 2020.PDF icon 1-s2.0-s1738573320308779-main.pdf (1.38 MB)
S. Jillings, Pechenkova, E. V., Tomilovskaya, E., Rukavishnikov, I., Jeurissen, B., Van Ombergen, A., Nosikova, I., Rumshiskaya, A., Litvinova, L., Annen, J., De Laet, C., Schoenmaekers, C., Sijbers, J., Petrovichev, V., Sunaert, S., Parizel, P. M., Sinitsyn, V., P Eulenburg, zu, Laureys, S. S. L., Demertzi, A., and Wuyts, F. L., Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity, Communications Biology, vol. 6, no. 46, 2023.