Publications

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T. Huysmans, Sijbers, J., Vanpoucke, F., and Verdonk, B., “Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization”, Lecture Notes in Computer Science, vol. 4091, pp. 84-91, 2006.
T. Huysmans, Bernat, A., Sijbers, J., Parizel, P. M., Van Glabbeek, F., and Verdonk, B., “Shape Analysis of the Human Clavicle for the Development of a Set of osteosynthesis Plates”, in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, pp. 128-129.PDF icon Full text (103.17 KB)
T. Huysmans, Sijbers, J., and Verstreken, F., “Orthosis”, U.S. Patent WO/2016/1812822016.
T. Huysmans, “Parameterization and Correspondence for Improved Modeling, Analysis, and Visualization of Tubular Surfaces.”, University of Antwerp, Antwerp, 2009.PDF icon Download Thesis (40.14 MB)
T. Huysmans, Sijbers, J., and Verdonk, B., “Statistical shape models for tubular objects”, in Proceedings of IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS), Antwerp, Belgium, 2006, pp. 155-158.PDF icon Full text (1.06 MB)
T. Huysmans, Bernat, A., Van Glabbeek, F., Sijbers, J., Gielen, J. L., and Bortier, H., “Left-Right and Gender Analysis of The Human Clavicle, A Problem in Developing an Anatomical Plate?”, 21th Congress of the European Society for the Surgery of the Shoulder and the Elbow (SECEC - ESSSE) 17-20 September. Brugge, Belgium, p. 101, 2008.PDF icon Full text (41.81 KB)
T. Huysmans, Sijbers, J., and Verdonk, B., “Parameterization of tubular surfaces on the cylinder”, Journal of the Winter School of Computer Graphics, vol. 13, pp. 97-104, 2005.PDF icon Download paper (798.29 KB)
T. Huysmans and Sijbers, J., “Mesh smoothing through multiscale anisotropic diffusion of geometry images”, in 13th European Microscopy Congress (EMC), Antwerp, Belgium, 2004.PDF icon Full text (414.55 KB)
T. Huysmans and Sijbers, J., “Method for Mapping Tubular Surfaces to a Cylinder”, U.S. Patent PCT/EP2010/0578822010.PDF icon Initial Publication with ISR (A1 50/2010) (3.52 MB)PDF icon United states patent (2.88 MB)
T. Huysmans, Danckaers, F., Vleugels, J., Lacko, D., De Bruyne, G., Verwulgen, S., and Sijbers, J., “Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling”, in Advances in Human Factors in Simulation and Modeling, Cham, 2019, pp. 179–189.
T. Huysmans, Sijbers, J., and Verdonk, B., “Automatic Construction of Correspondences for Tubular Surfaces”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 636-651, 2010.PDF icon Download paper (3.46 MB)
T. Huysmans, Bernat, A., Pinho, R., Sijbers, J., Van Glabbeek, F., Parizel, P. M., and Bortier, H., “A Framework for Morphometric Analysis of Long Bones: Application to the Human Clavicle”, Liege Image Days 2008: Medical Imaging. 2008.PDF icon Full text (426.68 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”, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.
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, Sanctorum, J., Six, N., De Beenhouwer, J., and Sijbers, J., “Analysis of flat fields in edge illumination phase contrast imaging”, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 1310-1313.PDF icon Download paper (368.24 KB)
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)
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.
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.
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.
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, 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.
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, 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.

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