Publications

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Journal Article
A. J. den Dekker and Sijbers, J., Data distributions in magnetic resonance images: a review, Physica Medica, vol. 30, no. 7, pp. 725–741, 2014.PDF icon Download paper (410.33 KB)PDF icon Download paper (protected) (505.58 KB)
V. Van Nieuwenhove, De Beenhouwer, J., De Schryver, T., Van Hoorebeke, L., and Sijbers, J., Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography, IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1441-1451, 2017.
D. Perrone, Jeurissen, B., Aelterman, J., Roine, T., Sijbers, J., Pizurica, A., Leemans, A., and Philips, W., D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data, PlosOne, vol. 11, pp. 1-23, 2016.PDF icon Download paper (16.22 MB)
J. Veraart, Novikov, D. S., Daan, C., Ades-Aron, B., Sijbers, J., and Fieremans, E., Denoising of diffusion MRI using random matrix theory, NeuroImage, vol. 142, pp. 384-396, 2016.PDF icon Download paper (4.53 MB)
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Detecting and locating light atoms from high-resolution STEM images: the quest for a single optimal design Ultramicroscopy, Ultramicroscopy, vol. 170, pp. 128-138, 2016.
H. Struyfs, Van Hecke, W., Veraart, J., Sijbers, J., Slaets, S., De Belder, M., Wuyts, L., Peters, B., Sleegers, K., Robberecht, C., Van Broeckhoven, C., De Belder, F., Parizel, P. M., and Engelborghs, S., Diffusion Kurtosis Imaging: a possible MRI biomarker for AD diagnosis?, Journal of Alzheimer’s Disease, vol. 48, pp. 937-948, 2015.PDF icon Download paper (374.95 KB)
J. Praet, Manyakov, N., Muchene, L., Mai, Z., Terzopoulos, V., De Backer, S., Torremans, A., Guns, P. - J., Van De Casteele, T., Bottelbergs, A., Van Broeck, B., Sijbers, J., Smeets, D., Shkedy, Z., Bijnens, L., Pemberton, D., Schmidt, M., Van Der Linden, A., and Verhoye, M., Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology., Alzheimer's Research & Therapy , vol. 10, no. 1, pp. 1-16, 2018.
S. Van Cauter, Veraart, J., Sijbers, J., Peeters, R. R., Himmelreich, U., Gool, V. S., Van Calenbergh, F., De Vleeschouwer, S., Van Hecke, W., and Sunaert, S., Diffusion kurtosis imaging in the grading of gliomas, Radiology, vol. 2, pp. 492-501, 2012.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Naeyaert, M., Vanhoutte, G., Delgado Y Palacios, R., Praet, J., Fieremans, E., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination, NeuroImage, vol. 125, pp. 363–377, 2016.
G. Vanhoutte, Pereson, S., Delgado Y Palacios, R., Guns, P. - J., Asselbergh, B., Veraart, J., Sijbers, J., Verhoye, M., Van Broeckhoven, C., and Van Der Linden, A., Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease, Magnetic Resonance in Medicine, vol. 69, no. 4, pp. 1115–1121, 2013.
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)
Z. Mai, Verhoye, M., Van Der Linden, A., and Sijbers, J., Diffusion tensor image up-sampling: a registration-based approach, Magnetic resonance Imaging, vol. 28, pp. 1497-1506, 2010.PDF icon Download paper (814.96 KB)
W. Van Hecke, Nagels, G., Emonds, G., Leemans, A., Sijbers, J., van Goethem, J., and Parizel, P. M., A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesions., Journal of magnetic resonance imaging : JMRI, vol. 30, no. 1, pp. 25-34, 2009.PDF icon Download paper (902.67 KB)
N. Van Camp, Blockx, I., Verhoye, M., Casteels, C., Coun, F., Leemans, A., Sijbers, J., Baekelandt, V., Van Laere, K., and Van Der Linden, A., Diffusion tensor imaging in a rat model of Parkinson's disease after lesioning of the nigrostriatal tract., NMR in biomedicine, vol. 22, no. 7, pp. 697-706, 2009.
P. Van Dyck, Froeling, M., Heusdens, C. H. W., Sijbers, J., Ribbens, A., and Billiet, T., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Following Primary Repair with Internal Bracing: a Longitudinal Study, Journal of Orthopaedic Research , 2020.
P. Van Dyck, Froeling, M., De Smet, E., Pullens, P., Torfs, M., Verdonck, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Journal of Magnetic Resonance Imaging, vol. 46, no. 5, pp. 1423–1432, 2017.
E. Van de Casteele, Perilli, E., Van Aarle, W., Reynolds, K., and Sijbers, J., Discrete tomography in an in vivo small animal bone study, Journal of Bone and Mineral Metabolism, vol. 36, no. 1, pp. 40–53, 2018.
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Discrete Tomography in MRI: a Simulation Study, Fundamenta Informaticae, vol. 125, no. 3-4, pp. 223-237, 2013.
A. Smolders, Martino, D. F., Staeren, N., Scheunders, P., Sijbers, J., Goebel, R., and Formisano, E., Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis, Magnetic Resonance Imaging, vol. 25, pp. 860-868, 2007.PDF icon Download paper (658.36 KB)
W. J. Palenstijn, Bédorf, J., Sijbers, J., and Batenburg, K. J., A distributed ASTRA Toolbox, Advanced Structural and Chemical Imaging, vol. 2, no. 19, 2016.PDF icon Download paper (2.7 MB)
T. De Bondt, Van Hecke, W., Veraart, J., Leemans, A., Sijbers, J., Sunaert, S., Jacquemyn, Y., and Parizel, P. M., Does the use of hormonal contraceptives cause microstructural changes in cerebral white matter? Preliminary results of a DTI and tractography study., European radiology, vol. 23, no. 1, pp. 57-64, 2013.PDF icon Download paper (411.18 KB)
K. J. Batenburg, Palenstijn, W. J., Balazs, P., and Sijbers, J., Dynamic angle selection in binary tomography, Computer Vision and Image Understanding, vol. 117, no. 5, pp. 306–318, 2013.PDF icon Download paper (2.71 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., Dynamic Angle Selection in X-ray Computed Tomography, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.
V. Van Nieuwenhove, De Beenhouwer, J., De Carlo, F., Mancini, L., Marone, F., and Sijbers, J., Dynamic intensity normalization using eigen flat fields in X-ray imaging, Optics Express, vol. 23, no. 21, pp. 27975-27989, 2015.Package icon Download Matlab code (2.92 MB)PDF icon Download paper (1.68 MB)
F. Bleichrodt, van Leeuwen, T., Palenstijn, W. J., Van Aarle, W., Sijbers, J., and Batenburg, K. J., Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators, Numerical Algorithms, vol. 71, pp. 673-697, 2016.

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