Publications

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Heylen, R., and P. Scheunders, "A distance geometric framework for non-linear hyperspectral unmixing", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 1879-1888, 2014.
Heylen, R., M. Parente, and P. Scheunders, "Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon", LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, vol. 10169, 2017.
Heylen, R., and P. Scheunders, "Non-linear fully-constrained spectral unmixing", IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
Heylen, R., M A. Akhter, and P. Scheunders, "On using projection onto convex sets for solving the hyperspectral unmixing problem", IEEE Geoscience and Remote Sensing Letters, 2013.
Heylen, R., P. Scheunders, P. Gader, and A. Rangarajan, "Nonlinear unmixing by using different metrics in a linear unmixing chain", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015.
Heylen, R., V. Andrejchenko, Z. Zahiri, M. Parente, and P. Scheunders, "Nonlinear hyperspectral unmixing with graphical models", IEEE Transaction on Geoscience and Remote Sensing, 2019.
Heylen, R., and P. Scheunders, "Multi-dimensional pixel purity index for convex hull estimation and endmember extraction", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, issue 7, pp. 4059-4069, 2013.
Heylen, R., and P. Scheunders, "Nonlinear unmixing with a multilinear mixing model", IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
Heylen, R., A. Zare, P. Gader, and P. Scheunders, "Hyperspectral unmixing with endmember variability via alternating angle minimization", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, issue 8, pp. 4983-4993, 2016.
Heylen, R., and P. Scheunders, "Hyperspectral unmixing using an active set algorithm", IEEE ICIP 2014, International Conference on Image Processing, October 27-30, Paris, France , 2014.
Heylen, R., and P. Scheunders, "A multilinear mixing model for nonlinear spectral unmixing", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, issue 1, pp. 240-251, 2016.
Hufkens, K., R. Ceulemans, and P. Scheunders, "Estimating the ecotone width in patchy ecotones using a sigmoid wave approach", Ecological Informatics, vol. 3, pp. 97-104, 2008.
Hufkens, K., G. Thoonen, J. Vanden Borre, P. Scheunders, and R. Ceulemans, "Habitat reporting of a heathland site: Classification probabilities as additional information, a case study", Ecological Informatics, vol. 5, no. 4, pp. 248 - 255, 2010.
Hufkens, K., R. Ceulemans, and P. Scheunders, "Ecotones in vegetation ecology: methodology and definitions revisited", Ecological Research, vol. 24, pp. 977-986, 2009.
Hufkens, K., P. Scheunders, and R. Ceulemans, "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.
Huijs, S., T. Huysmans, A. De Jong, N. Arnout, J. Sijbers, and J. Bellemans, "Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design", Acta Orthop Belg, vol. 84, issue 4, pp. 452-460, 2018.
Hung, C. C., T. Coleman, and P. Scheunders, "Using genetic differential competitive learning for unsupervised training in multispectral image classification systems", Proceedings IEEE International Conference on Systems, Man, and Cybernetics , San Diego, California, October 11-14, pp. 4482-4485, 1998.
Hung, C. C., T. Coleman, and P. Scheunders, "The genetic algorithm approach and K-means clustering: their role in unsupervised training in image classification", Proc. IASTED International Conf. On Computer Graphics and Imaging , Halifax, Canada, june 1-3, pp. 103-106, 1998.
Hung, C. C., P. Scheunders, M. Pham, M. C. Su, and T. Coleman, "Using Intelligent Optimization Techniques in the K-means Algorithm for Multispectral Image Classification", International Journal of Fuzzy Systems, vol. 6, no. 3, pp. 107-117, 2004.
Huysmans, T., J. Sijbers, and F. Verstreken, Orthosis, , no. WO/2016/181282, 2016.
Huysmans, T., A. Bernat, J. Sijbers, P. M. Parizel, F. Van Glabbeek, and B. Verdonk, "Shape Analysis of the Human Clavicle for the Development of a Set of osteosynthesis Plates", Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, pp. 128-129, December, 2006. PDF icon Full text (103.17 KB)
Huysmans, T., J. Sijbers, and B. Verdonk, "Parameterization of tubular surfaces on the cylinder", Journal of the Winter School of Computer Graphics, vol. 13, no. 3, pp. 97-104, 2005. PDF icon Download paper (798.29 KB)
Huysmans, T., J. Sijbers, and B. Verdonk, "Automatic Construction of Correspondences for Tubular Surfaces", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 636-651, 2010. PDF icon Download paper (3.46 MB)
Huysmans, T., A. Bernat, F. Van Glabbeek, J. Sijbers, J. L. Gielen, and H. Bortier, "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, pp. 101, September, 2008. PDF icon Full text (41.81 KB)
Huysmans, T., "Parameterization and Correspondence for Improved Modeling, Analysis, and Visualization of Tubular Surfaces.", Department of Physics, Antwerp, University of Antwerp, 2009. PDF icon Download Thesis (40.14 MB)

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