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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.
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.
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.
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. 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.
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)
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)
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.
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)
K. J. Batenburg, Sijbers, J., Poulsen, H. F., and Knudsen, E., DART: A Robust Algorithm for Fast Reconstruction of 3D Grain Maps, Journal of Applied Crystallography, vol. 43, pp. 1464-1473, 2010.PDF icon Download paper (824.99 KB)
K. J. Batenburg and Sijbers, J., DART: A practical reconstruction algorithm for discrete tomography, IEEE Transactions on Image Processing, vol. 20, pp. 2542-2553, 2011.PDF icon Download paper (2.12 MB)
K. Zarei Zefreh, Van Aarle, W., Batenburg, K. J., and Sijbers, J., DART: a new approach for super-resolution reconstruction of license plates, Journal of Electronic Imaging, vol. 22, no. 4, 2013.PDF icon Download paper (2.03 MB)
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., The costs and benefits of estimating T1 of tissue alongside cerebral blood flow and arterial transit time in pseudo-continuous arterial spin labeling, NMR in Biomedicine, vol. 33, no. 12, pp. 1-17, 2020.PDF icon Download paper (16.44 MB)
A. Demertzi, Van Ombergen, A., Tomilovskaya, E., Jeurissen, B., Pechenkova, E. V., Di Perri, C., Litvinova, L., Amico, E., Rumshiskaya, A., Rukavishnikov, I., Sijbers, J., Sinitsyn, V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., Cortical reorganization in an astronaut’s brain after long-duration spaceflight, Brain Structure and Function, vol. 221, no. 5, pp. 2873–2876, 2016.PDF icon Download paper (820.49 KB)
W. Van Hecke, Nagels, G., Leemans, A., Vandervliet, E., Sijbers, J., and Parizel, P. M., Correlation of cognitive dysfunction and diffusion tensor MRI measures in patients with mild and moderate multiple sclerosis, Journal of magnetic resonance imaging, vol. 31, pp. 1492-1498, 2010.
W. Van Hecke, Sijbers, J., D'Agostino, E., Maes, F., De Backer, S., Vandervliet, E., Parizel, P. M., and Leemans, A., On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain, NeuroImage, vol. 43, pp. 69-80, 2008.PDF icon Download paper (3.34 MB)
W. Van Hecke, Sijbers, J., De Backer, S., Poot, D. H. J., Parizel, P. M., and Leemans, A., On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods, NeuroImage, vol. 46, pp. 692-707, 2009.PDF icon Download paper (4.14 MB)
J. Morez, Sijbers, J., Vanhevel, F., and Jeurissen, B., Constrained spherical deconvolution of non-spherically sampled diffusion MRI data, Human Brain Mapping, vol. 42, pp. 521–538, 2020.PDF icon Download paper (5.87 MB)
J. Veraart, Van Hecke, W., and Sijbers, J., Constrained Maximum Likelihood Estimation of the Diffusion Kurtosis Tensor Using a Rician Noise Model, Magnetic Resonance in Medicine, vol. 66, pp. 678-686, 2011.PDF icon Download paper (719.93 KB)
J. Veraart, Rajan, J., Peeters, R. R., Leemans, A., Sunaert, S., and Sijbers, J., Comprehensive framework for accurate diffusion MRI parameter estimation, Magnetic Resonance in Medicine, vol. 81, no. 4, pp. 972-984, 2013.PDF icon ISMRM 2013 poster (476.78 KB)
N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Veraart, J., Van Hecke, W., Martinez, E., Guadelupe, S., Sijbers, J., Planas, A., and Van Der Linden, A., A complementary DTI-histological study in a model of Huntingtons disease, Neurobiology of Aging, vol. 33, pp. 945-959, 2012.
W. Van Hecke, Leemans, A., De Backer, S., Jeurissen, B., Parizel, P. M., and Sijbers, J., Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation study, Human Brain Mapping, vol. 31, pp. 98-114, 2010.
M. Van Dael, Verboven, P., Zanella, A., Sijbers, J., and Nicolai, B., Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography, Postharvest Biology and Technology, vol. 148, pp. 218-227, 2019.
Z. Mai, Huysmans, T., and Sijbers, J., Colon Visualization Using Cylindrical Parameterization, Lecture Notes in Computer Science, vol. 4678, pp. 607-615, 2007.PDF icon Full text (1.44 MB)
W. R. Crum, Danckaers, F., Huysmans, T., Cotel, M. - C., Natesan, S., Modo, M. M., Sijbers, J., Williams, S. C. R., Kapur, S., and Vernon, A. C., Chronic exposure to haloperidol and olanzapine leads to common and divergent shape changes in the rat hippocampus in the absence of grey-matter volume loss, Psychological Medicine, vol. 46, no. 15, pp. 3081-3093, 2016.