Publications

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F
W. Fortes, Sijbers, J., and Batenburg, K. J., “Practical Error Bounds for Binary Tomography”, in 1st International Conference on Tomography of Materials and Structures, 2013, pp. 97-100.PDF icon Download paper (165.74 KB)
N. Francken, Sanctorum, J., Renders, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., “A condensed history approach to x-ray dark field effects in edge illumination phase contrast simulations”, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023.PDF icon Download paper (4.14 MB)
N. Francken, Sanctorum, J., Huyge, B., Sijbers, J., and De Beenhouwer, J., “Correcting for focal spot drift in edge illumination X-ray phase contrast imaging”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Enhancing industrial inspection with efficient edge illumination x-ray phase contrast simulations”, in IEEE EUROCON 2023 -20th International Conference on Smart Technologies, Torino, Italy, 2023.PDF icon eurocon_2023.pdf (8.52 MB)
D. Frenkel, De Beenhouwer, J., and Sijbers, J., “Tabu-DART: a dynamic update strategy for the Discrete Algebraic Reconstruction Technique based on Tabu-search”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
D. Frenkel, De Beenhouwer, J., and Sijbers, J., “An adaptive probability map for the Discrete Algebraic Reconstruction Technique”, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020, pp. 1-6.
B. Fröhler, Melo, Lda Cunha, Weissenböck, J., Kastner, J., Möller, T., Hege, H. - C., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., and Heinzl, C., “Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.07 MB)
G
J. Ganseman, Scheunders, P., and D'haes, W., “Using XML-formatted scores in real-time applications”, in 10-th International Society for Music Information Retrieval Conference, pp. 663-668, Kobe, Japan, October 26-30, 2009, pp. 663-668.
J. Ganseman, Scheunders, P., and D'haes, W., “Using MusicXML in real-time applications”, in Proceedings of the 34th Euromicro conference on Software Engineering and Advanced Applications, Parma, Italy, September 3-5, 2008, pp. 29-30.
J. Ganseman, Scheunders, P., and Dixon, S., “Imrpoving PLCA-based score-informed source separation with invertible constant-Q transform”, in EUSIPCO 2012, 20th European Signal Processing Conference, Bucharest, Romania, august 27-31 , 2012, pp. 2634-2638.
J. Ganseman, Scheunders, P., and D'haes, W., “Using XQUERY on MusicXML databases for musicological analysis”, in ISMIR 2008, 9-th International Conference on Music Information Retrieval, Philadephia, USA, 14-18 september, 2008, pp. 433-438.
J. Ganseman and Scheunders, P., “A jump start for NMF with N-Findr and NNLS”, in DAFx-12, 15-th Int. Conference on Digital Audio Effects, York, UK, september 17-21, 2012.
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., “Evaluation of a score-informed source separation system”, in Proc. 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August 2010, 2010, pp. 219-224.
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., “Source separation by score synthesis”, in Proc. International Computer Music Conference (ICMC 2010), New York, NY, June 1-5, 2010, pp. 462-465.
R. Garimella, Peeters, T., Beyers, K., Truijen, S., Huysmans, T., and Verwulgen, S., “Capturing Joint Angles of the Off-Site Human Body”, in IEEE Sensors 2018, United States, 2018, pp. 1–4.
D. Giraldo, Beirinckx, Q., den Dekker, A. J., Jeurissen, B., and Sijbers, J., “Super-resolution reconstruction of multi-slice T2-w FLAIR MRI improves Multiple Sclerosis lesion segmentation”, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 2023.
D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Comparison of diffusion kurtosis tensor imaging and multi-tissue CSD for the investigation of group differences in Alzheimer’s disease”, in International Society of Magnetic Resonance in Medicine (ISMRM), Toronto, ON, Canada, 2023.PDF icon Poster presented at ISMRM-Benelux 2023 (5.88 MB)
H
B. Haest, Thoonen, G., Vanden Borre, J., Spanhove, T., Delalieux, S., Bertels, L., Kooistra, L., Mücher, C. A., and Scheunders, P., “An object-based approach to quantity and quality assessment of heathland habitats in the framework of NATURA 2000 using hyperspectral airborne AHS images.”, in Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, 2010, vol. XXXVIII-4/C7.
R. Hanel, Batenburg, K. J., and Sijbers, J., “Fast bias field estimation by localized Lloyd-Max quantization”, in SPIE Medical Imaging, San Diego, CA, USA, 2008.PDF icon Download full paper (297.69 KB)
S. Hassanzadeh, Karami, A., Heylen, R., and Scheunders, P., “Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing”, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
R. Heylen and Scheunders, P., “Non-linear fully-constrained spectral unmixing”, in IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
R. Heylen and Scheunders, P., “Spectral unmixing using distance geometry”, in IEEE-WHISPERS 2011, Workshop on Hperspectral Image and Signal Processing, Lisbon, Portugal, 6-9 June, 2011.
R. Heylen and Scheunders, P., “Nonlinear unmixing with a multilinear mixing model”, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
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, Parente, M., and Scheunders, P., “Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon”, in LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, 2017, vol. 10169.

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