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2025
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.
B. Huyge, Francken, N., Sanctorum, J., Sanctorum, J., De Beenhouwer, J., and Sijbers, J., “Edge illumination X-ray phase contrast imaging with continuous mask motion”, Optics Express, vol. 33, no. 19, pp. 41271-41286, 2025.PDF icon Download paper (4.78 MB)
N. Francken, Sanctorum, J., Huyge, B., Sijbers, J., and De Beenhouwer, J., “Efficient X-ray dark field contrast simulations using a condensed history approach”, Optics Express, vol. 33, no. 2, pp. 3562-3576, 2025.
K. Duquesne, Adris, M., Huysentruyt, R., Van Oevelen, A., Li, J., Sijbers, J., Van Paepegem, W., and Audenaert, E., “From Skin to Skeleton: A Statistical Shape Modelling Approach for Predicting Hand and Foot Bony Geometry”, Annals of Biomedical Engineering, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., “Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone”, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., “Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone”, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., “Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone”, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
M. Yosifov, Fröhler, B., Sijbers, J., De Beenhouwer, J., Kastner, J., and Heinzl, C., “Superimposing Synthetic Defects into Real XCT Data and Segmentation-Based Comparison for Advanced Probability of Detection Evaluation”, Journal of Nondestructive Evaluation , vol. 44, no. 119, 2025.
2024
F. Danckaers, Stanković, K., Huysmans, T., Booth, B. G., and Sijbers, J., “Foot shape assessment techniques for orthotic and footwear applications: a methodological literature review”, Frontiers in Bioengineering and Biotechnology, vol. 12, pp. 1-15, 2024.PDF icon Download paper (1.99 MB)
B. Huyge, Renders, J., Sanctorum, J., De Beenhouwer, J., and Sijbers, J., “X-ray image reconstruction for continuous acquisitions with a generalized motion model”, Optics Express, vol. 32, no. 22, pp. 39192-39207, 2024.
2023
B. Huyge, Sanctorum, J., Jeurissen, B., De Beenhouwer, J., and Sijbers, J., “Fiber Orientation Estimation from X-ray Dark Field Images of Fiber Reinforced Polymers using Constrained Spherical Deconvolution”, Polymers, vol. 15, no. 13, p. 2887, 2023.PDF icon Download paper (2.95 MB)
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., “Grating designs for cone beam edge illumination X-ray phase contrast imaging: a simulation study”, Optics Express, vol. 31, no. 17, pp. 28051-28064, 2023.
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Lorenz, S., Fuchs, M., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., “A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures”, IEEE Sensors Journal, 2023.PDF icon a_multisensor_hyperspectral_benchmark_dataset_for_unmixing_of_intimate_mixtures_1_.pdf (22.13 MB)
M. Vandecasteele, Heylen, R., Iuso, D., Thanki, A., Philips, W., Witvrouw, A., Verhees, D., and Booth, B. G., “Towards material and process agnostic features for the classification of pore types in metal additive manufacturing”, Materials & Design, vol. 227, p. 111757, 2023.
M. Siqueira Pinto, Winzeck, S., Kornaropoulos, E. N., Richter, S., Paolella, R., Correia, M. M., Glocker, B., Williams, G., Vik, A., Posti, J., Håberg, A. Kristine, Stenberg, J., Guns, P. - J., den Dekker, A. J., Menon, D. K., Sijbers, J., Van Dyck, P., and Newcombe, V. F. J., “Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study”, Journal of Neurotrauma, vol. 40, no. 13-14, pp. 1317-1338, 2023.
2022
R. Heylen, Thanki, A., Verhees, D., Iuso, D., De Beenhouwer, J., Sijbers, J., Witvrouw, A., Haitjema, H., and Bey-Temsamani, A., “3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts”, Measurement Science and Technology, vol. 33, no. 4, pp. 1-12, 2022.
R. Heylen, Thanki, A., Verhees, D., Iuso, D., De Beenhouwer, J., Sijbers, J., Witvrouw, A., Haitjema, H., and Bey-Temsamani, A., “3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts”, Measurement Science and Technology, vol. 33, no. 4, pp. 1-12, 2022.
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)
F. Tajdari, Huysmans, T., Yang, Y., and Song, Y., “Feature preserving non-rigid iterative weighted closest point and semi-curvature registration”, IEEE Transactions on Image Processing, 2022.
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Probability of Detection applied to X-ray inspection using numerical simulations”, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Probability of Detection applied to X-ray inspection using numerical simulations”, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
Y. Huybrechts, De Ridder, R., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Schepers, D., De Beenhouwer, J., Sijbers, J., Forlino, A., Coucke, P., P. Witten, E., Kwon, R., Willaert, A., Hendrickx, G., and Van Hul, W., “The sqstm1tmΔUBA zebrafish model, a proof-of-concept in vivo model for Paget’s disease of bone?”, Bone Reports, vol. 16, no. 101483, pp. 75-76, 2022.
Y. Huybrechts, De Ridder, R., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Schepers, D., De Beenhouwer, J., Sijbers, J., Forlino, A., Coucke, P., P. Witten, E., Kwon, R., Willaert, A., Hendrickx, G., and Van Hul, W., “The sqstm1tmΔUBA zebrafish model, a proof-of-concept in vivo model for Paget’s disease of bone?”, Bone Reports, vol. 16, no. 101483, pp. 75-76, 2022.
2021
M. Roshani, Phan, G., Roshani, G. Hossein, Hanus, R., Corniani, E., and Nazemi, E., “Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows”, Measurement, vol. 168, 2021.
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.

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