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M. Van Dael, Lebotsa, S., Herremans, E., Verboven, P., Sijbers, J., Opara, U. L., Cronje, U. L., and Nicolai, B., “A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs”, Postharvest Biology and Technology, vol. 112, pp. 205-214, 2016.
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.
M. Van Dael, Verboven, P., Dhaene, J., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., “Multisensor X-ray inspection of internal defects in horticultural products”, Postharvest Biology and Technology, vol. 128, pp. 33–43, 2017.
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)
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 (632.04 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.
T. Van De Looverbosch, De Beuckeleer, S., De Smet, F., Sijbers, J., and De Vos, W., “Proximity Adjusted Centroid Mapping for Accurate Detection of Nuclei in Dense 3D Cell Systems”, Computers in Biology and Medicine, vol. 185, p. 109561, 2025.
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.
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.
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.
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.
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.
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.
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, 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.
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.

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