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M. Van Dael, Rogge, S., Verboven, P., Saeys, W., Sijbers, J., and Nicolai, B., Online Tomato Inspection Using X-Ray Radiographies and 3- Dimensional Shape Models, Chemical Engineering Transactions, vol. 44, pp. 37-42, 2015.
E. Van de Casteele, Van Dyck, D., Sijbers, J., and Raman, E., A model-based correction method for beam hardening artefacts in X-ray microtomography, Journal of X-ray science and technology, vol. 12, pp. 53-57, 2004.PDF icon Download full paper (581.05 KB)
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.
E. Van de Casteele, Van Dyck, D., Sijbers, J., and Raman, E., An energy-based beam hardening model in tomography, Physics in Medicine and Biology, vol. 47, pp. 4181-4190, 2002.PDF icon Download full paper (203.21 KB)
T. Van De Looverbosch, Raeymaekers, E., Verboven, P., Sijbers, J., and Nicolai, B., Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning, Expert Systems with Applications, vol. 176, no. 114925, pp. 1-12, 2021.
T. Van De Looverbosch, Jiaqi, H., Tempelaere, A., Kelchtermans, K., Verboven, P., Tuytelaars, T., Sijbers, J., and Nicolai, B., Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images, Computers and Electronics in Agriculture, vol. 197, no. 106962, pp. 1-14, 2022.
T. Van De Looverbosch, Bhuiyan, H. Rahman, Verboven, P., Dierick, M., Van Loo, D., De Beenhouwer, J., Sijbers, J., and Nicolai, B., Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning, Food Control, vol. 113, no. 107170, pp. 1-13, 2020.
G. Van de Wouwer, Scheunders, P., and Van Dyck, D., Statistical texture characterization from discrete wavelet representations, IEEE Transactions on Image Processing, vol. 8, pp. 592-598, 1999.
G. Van de Wouwer, Scheunders, P., Livens, S., and Van Dyck, D., Wavelet correlation signatures for color texture characterization, pattern Recognition, vol. 32, pp. 443-451, 1999.
G. Van de Wouwer, Scheunders, P., Van Dyck, D., Wuyts, F. L., and Van de Heyning, P. H., Voice recognition from spectrograms: a wavelet based approach, Fractals, vol. 5, pp. 165-172, 1997.
G. Van de Wouwer, Weyn, B., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., Automated chromatin-texture based diagnosis of carcinoma nuclei, Journal of Microscopy, vol. 197, pp. 25-35, 2000.
G. Van de Wouwer and Scheunders, P., Wavelet-based texture classification, Recent Research in the Development of Pattern Recognition, vol. 1, pp. 77-87, 2000.
W. Van den Broek, Verbeeck, J., De Backer, S., Scheunders, P., and Schryvers, D., Acquisition of the EELS data cube by tomographic reconstruction, Ultramicroscopy, vol. 106, pp. 269-276, 2006.
W. Van den Broek, Verbeeck, J., Schryvers, D., De Backer, S., and Scheunders, P., Tomographic Spectroscopic Imaging; an experimental proof of concept, Ultramicroscopy, vol. 109, pp. 296-303, 2009.
W. Van den Broek, Rosenauer, A., Sijbers, J., Van Dyck, D., and Van Aert, S., A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM Ultramicroscopy, Ultramicroscopy, vol. 141, pp. 22–31, 2014.
S. Van der Jeught, Sijbers, J., and Dirckx, J. J. J., Fast Fourier-based phase unwrapping on the graphics processing unit in real-time imaging applications, Journal of Imaging, vol. 1, pp. 31-44, 2015.PDF icon Download paper (1.35 MB)
S. Van Dongen, Danckaers, F., Beerten, J., and Huysmans, T., Women's preferences for male facial masculinity are not condition-dependent in a large online study, The All Results Journals: Biol, vol. 10, no. 1, 2019.
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 , vol. 39, pp. 1318–1330, 2021.
D. Van Dyck and Garcia, J., INFOTREE: A new generic method for supervised pattern, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., van den Bos, A., den Dekker, A. J., Jansen, J., and Zandbergen, H., Towards quantitative structure determination through electron holographic methods, Materials Characterization, vol. 42, pp. 265-281, 1999.PDF icon Download paper (6.71 MB)
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., den Dekker, A. J., and van den Bos, A., From High Resolution Image to Atomic Structure: how fare are we?, Scanning Microscopy, Special Issue on Image Processing, vol. 11, pp. 467-478, 1997.
P. Van Dyck, Billiet, T., Desbuquoit, D., Verdonk, P., Heusdens, C. H., Roelant, E., Sijbers, J., and Froeling, M., Diffusion tensor imaging of the anterior cruciate ligament graft following reconstruction: a longitudinal study, European Radiology, vol. 34, pp. 6673–6684, 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.
P. Van Dyck, Zazulia, K., Smekens, C., Heusdens, C. H. W., Janssens, T., and Sijbers, J., Assessment of Anterior Cruciate Ligament Graft Maturity With Conventional Magnetic Resonance Imaging, The Orthopaedic Journal of Sports Medicine, vol. 7, no. 6, pp. 1-9, 2019.PDF icon Download paper (202.39 KB)
P. Van Dyck, Smekens, C., Vanhevel, F., De Smet, E., Roelant, E., Sijbers, J., and Jeurissen, B., Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging, Investigative Radiology, vol. 55, no. 8, pp. 481-493, 2020.