Publications

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B. Huyge, Renders, J., De Beenhouwer, J., and Sijbers, J., “X-ray image reconstruction for continuous acquisition with accelerated rotation”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
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)
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.
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)
B. Huyge, Jeurissen, B., De Beenhouwer, J., and Sijbers, J., “Fiber orientation estimation by constrained spherical deconvolution of the anisotropic edge illumination x-ray dark field signal”, in SPIE: Developments in X-Ray Tomography XIV, 2022, vol. 12242, p. 122420V .PDF icon Download paper (956.82 KB)
B. Huyge, Vanthienen, P. - J., Six, N., Sijbers, J., and De Beenhouwer, J., “Adapting an XCT-scanner to enable edge illumination X-ray phase contrast imaging”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.
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., 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.
C. C. Hung, Scheunders, P., Pham, M., Su, M. C., and Coleman, T., “Using Intelligent Optimization Techniques in the K-means Algorithm for Multispectral Image Classification”, International Journal of Fuzzy Systems, vol. 6, pp. 107-117, 2004.
C. C. Hung, Coleman, T., and Scheunders, P., “Using genetic differential competitive learning for unsupervised training in multispectral image classification systems”, in Proceedings IEEE International Conference on Systems, Man, and Cybernetics , San Diego, California, October 11-14, 1998, pp. 4482-4485.
C. C. Hung, Coleman, T., and Scheunders, P., “The genetic algorithm approach and K-means clustering: their role in unsupervised training in image classification”, in Proc. IASTED International Conf. On Computer Graphics and Imaging , Halifax, Canada, june 1-3, 1998, pp. 103-106.
S. Huijs, Huysmans, T., De Jong, A., Arnout, N., Sijbers, J., and Bellemans, J., “Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design”, Acta Orthop Belg, vol. 84, no. 4, pp. 452-460, 2018.
K. Hufkens, Scheunders, P., and Ceulemans, R., “Validation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, Canada”, Ecological Informatics, vol. 4, pp. 1-7, 2009.
K. Hufkens, Ceulemans, R., and Scheunders, P., “Estimating the ecotone width in patchy ecotones using a sigmoid wave approach”, Ecological Informatics, vol. 3, pp. 97-104, 2008.
K. Hufkens, Ceulemans, R., and Scheunders, P., “Ecotones in vegetation ecology: methodology and definitions revisited”, Ecological Research, vol. 24, pp. 977-986, 2009.
K. Hufkens, Thoonen, G., Vanden Borre, J., Scheunders, P., and Ceulemans, R., “Habitat reporting of a heathland site: Classification probabilities as additional information, a case study”, Ecological Informatics, vol. 5, pp. 248 - 255, 2010.
T. Hu, Liu, N., Li, W., Tao, R., Zhang, F., and Scheunders, P., “Destriping Hyperspectral Imagery By Adaptive Anisotropic Total Variation And Truncated Nuclear Norm”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021.
T. Hu, Li, W., Liu, N., Tao, R., Zhang, F., and Scheunders, P., “Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 2, pp. 1516-1533, 2021.PDF icon tgrs_2020.pdf (5.71 MB)
S. Hosseinnejad, Bosch, E. G. T., Kohr, H., Lazić, I., Zharinov, V., Franken, E., Sijbers, J., and De Beenhouwer, J., “3D atomic resolution tomography from iDPC-STEM images using multiple atom model prior”, Microscopy Conference. 2021.PDF icon Download abstract (534.35 KB)
M. Das, Kandel, B., Park, C. Soo, and Liang, Z., “SPIE ProceedingsEnergy calibration of photon counting detectors using x-ray tube potential as a reference for material decomposition applications”, in SPIE Medical ImagingMedical Imaging 2015: Physics of Medical Imaging, Orlando, Florida, United States, 2015, vol. 9412, p. 941214.
M. Das and Liang, Z., “SPIE ProceedingsSingle-step, quantitative x-ray differential phase contrast imaging using spectral detection in a coded aperture setup”, in SPIE Medical ImagingMedical Imaging 2015: Physics of Medical Imaging, Orlando, Florida, United States, 2015, vol. 9412, p. 941252.
R. Heylen and Scheunders, P., “Nonlinear barycentric dimensionality reduction”, in IEEE ICIP10, IEEE International Conference on Image Processing, Hong Kong, september 26-29, 2010, pp. 1341-1344.
R. Heylen, Scheunders, P., Rangarajan, A., and Gader, P., “Nonlinear unmixing by using non-Euclidean metrics in a linear unmixing chain”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
R. Heylen, Akhter, M. A., and Scheunders, P., “A fast alternative for the pixel purity index algorithm”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 1781-1784.
R. Heylen and Scheunders, P., “A distance geometric framework for non-linear hyperspectral unmixing”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 1879-1888, 2014.

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