Publications

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Conference Paper
L. Tits, Somers, B., Heylen, R., Scheunders, P., and Coppin, P., “Improving the efficiency of MESMA through geometric unmixing principles”, in SPIE Remote Sensing, Drseden, Germany, 23-26 September , 2013, vol. 8892.
Z. Bnoulkacem, Koirala, B., and Scheunders, P., “Improving Spectral Unmixing Performance by Frequency Component Reduction”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon improving_spectral_unmixing_performance_by_frequency_component_reduction.pdf (582.17 KB)
B. Peersman, Vanhoenacker, F. M., Brys, P., Van Dyck, P., Stam, M., Verstraete, K. L., Bloem, J. L., Heyman, S., Herendael, V. B., Sijbers, J., and De Schepper, A. M., “Imaging features of Ewing’s sarcoma”, in International Skeletal Society 2007, 34th annual ISS Radiology Refresher Course, Budapest, 2007, p. 22.
J. Van Audekerke, Verhoye, M., Sijbers, J., DeVoogd, T. J., Smulders, T., Newman, S. W., and Van Der Linden, A., “Imaging birds .. in a bird cage: In vivo MRI microscopy of the canary brain at 7T”, in Proceedings of International Society for Magnetic Resonance in Medicine: Sixth Annual Meeting, 1998, vol. 2, pp. 162-163.
M. A. Akhter, Heylen, R., and Scheunders, P., “Hyperspectral unmixing with projection onto convex sets using distance geometry”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5059-5062.
R. Heylen and Scheunders, P., “Hyperspectral unmixing using an active set algorithm”, in IEEE ICIP 2014, International Conference on Image Processing, October 27-30, Paris, France , 2014.
M. A. Akhter, Mahmood, Z., and Scheunders, P., “Hyperspectral image subpixel mapping using Getis index”, in IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013, 2013.
Y. Zhang, Duijster, A., and Scheunders, P., “A Hyperspectral Image Restoration technique”, in IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009, pp. 2873-2876.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., “Hyperspectral clustering using atrous spatial-spectral convolutional network”, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
P. Kempeneers, De Backer, S., Debruyn, W., Provoost, S., and Scheunders, P., “Hyperspectral classification applied to the Belgian coastline”, in SPIE Remote Sensing, Bruges, Belgium, 19-22 september, 2005, vol. 5982.
H. Rezaei, Karami, A., and Scheunders, P., “Hyperspectral and multispectral image fusion based on spectral matching in the shearlet domain”, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., “How to design an HREM experiment so as to attain the highest precision?”, in ICEM14: 14th International Congress on Electron Microscopy, Cancun, Mexico, 1998, vol. 1, pp. 621-622.
P. Paramonov, Sanctorum, J. G., Iuso, D., Sijbers, J., and De Beenhouwer, J., “High-resolution tiled X-ray cone-beam CT using the ASTRA toolbox”, in 13th Conference on Industrial Computed Tomography (iCT) 2024, School of Engineering, Wels Campus, Austria, 2024.PDF icon Download paper (532.89 KB)
W. D'haes, “A highly optimized nonlinear least squares technique for sinusoidal analysis: From O(K^2N) to O(N log(N))”, in Proceedings of the 116th Audio Engineering Society Convention (AES), Berlin, Germany, 2004.
W. D'haes, “A highly optimized method for computing amplitudes over a windowed short time signal: From O(K^2N) to O(N log(N))”, in Proceedings of the IEEE Benelux Signal Processing Symposium, Hilvarenbeek, the Netherlands, 2004.
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “High resolution T1 estimation from multiple low resolution magnetic resonance images”, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.
M. Verhoye, Van Der Linden, A., Sijbers, J., Scheunders, P., Van Dyck, D., Reyniers, E., Kooy, R. F., Willems, P. J., Cras, P., and Oostra, B. A., “High resolution MRI study of the cerebellum of mice as a function of age, in a mouse model for fragile X mental retardation”, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology, Prague, Czech Republic, 1996, vol. 2, p. 168.
R. Heylen, Scheunders, P., and Gader, P., “Handling spectral variability with alternating angle minimization”, in IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013.
G. Thoonen, Spanhove, T., Haest, B., Vanden Borre, J., and Scheunders, P., “Habitat mapping and quality assessment of heathlands using a modified kernel-based reclassification technique”, in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, HI, USA, 2010, pp. 2707 - 2710.
K. J. Batenburg, Van Aarle, W., and Sijbers, J., “Grey Level Estimation for Discrete Tomography”, in Discrete Geometry for Computer Imaging, 2009, vol. 5810, pp. 517-529.
J. Van Houtte, Sijbers, J., and Zheng, G., “Graphical User Interface for Joint Space Width Assessment by Optical Marker Tracking”, in 4th International Conference on Bio-engineering for Smart Technologies, 2021.
A. Leemans, Sijbers, J., and Parizel, P. M., “A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography”, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
R. Heylen, Burazerovic, D., and Scheunders, P., “A graph-based method for non-linear unmixing of hyperspectral imagery”, in IEEE IGARSS2010, IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Haway, July 25-30, 2010, pp. 197-200.

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