Publications

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Journal Article
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.
S. De Backer, Pizurica, A., Huysmans, B., Philips, W., and Scheunders, P., “Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators”, Image and Vision Computing, vol. 26, pp. 1038-1051, 2008.
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)
M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, vol. 44, no. 10, 2025.
V. Varkarakis, Bazrafkan, S., and Corcoran, P., “Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets”, Science Direct Elsevier Neural Networks, vol. 121, pp. 101-121, 2020.
C. Smekens, Beirinckx, Q., Bosmans, F., Vanhevel, F., Snoeckx, A., Sijbers, J., Jeurissen, B., Janssens, T., and Van Dyck, P., “Deep Learning-Enhanced Accelerated 2D TSE and 3D Super-Resolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment”, Investigative Radiology, vol. 60, no. 3, pp. 220-233, 2025.
J. Van Houtte, Audenaert, E., Zheng, G., and Sijbers, J., “Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images”, International Journal of Computer Assisted Radiology and Surgery, vol. 309, pp. 1333–1342, 2022.PDF icon Download paper (3.41 MB)
V. Andrejchenko, Liao, W., Philips, W., and Scheunders, P., “Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields”, Remote Sensing, vol. 11, 2019.PDF icon remotesensing-11-00624.pdf (1.5 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.
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Jackisch, R., Scheunders, P., and Gloaguen, R., “Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm”, Remote Sensing, vol. 12 (23), no. 4007, 2020.PDF icon remotesensing-12-04007-v2.pdf (21.88 MB)
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)
J. Merckx, den Dekker, A. J., Sijbers, J., and De Beenhouwer, J., “DAMMER: Direct Adaptive Multi-resolution MEsh Reconstruction from X-ray measurements”, IEEE Transactions on Computational Imaging , vol. 11, pp. 926 - 941, 2025.
T. Elberfeld, Fröhler, B., Heinzl, C., Sijbers, J., and De Beenhouwer, J., “cuPARE: Parametric Reconstruction of Curved Fibres from Glass fibre-reinforced Composites”, Nondestructive Testing and Evaluation, 2022.PDF icon Download paper (9.66 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.
Z. Mahmood, Akhter, M. A., Thoonen, G., and Scheunders, P., “Contextual Subpixel Mapping of Hyperspectral Images Making Use of a High Resolution Color Image”, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 779 - 791, 2013.
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)
U. Roine, Salmi, J., Roine, T., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., “Constrained spherical deconvolution-based tractography and tract-based spatial statistics show abnormal microstructural organization in Asperger syndrome”, Molecular Autism, vol. 6, p. 4, 2015.PDF icon Download paper (1.75 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)

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