Publications

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Conference Paper
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.
L. F. Alves Pereira, Roelandts, T., and Sijbers, J., Inline 3D X-ray Inspection of Food using Discrete Tomography, in InsideFood Symposium, Leuven, Belgium, 2013.PDF icon Download paper (292.06 KB)
B. Auer, Zeraatkar, N., De Beenhouwer, J., Kalluri, K., Kuo, P. H., Furenlid, L. R., and King, M. A., Investigation of a Monte Carlo simulation and an analytic-based approach for modeling the system response for clinical I-123 brain SPECT imaging, in 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, vol. 11072, pp. 187 – 190.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Aerts, P., Dirckx, J. J. J., and Sijbers, J., A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.93 MB)
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Wuyts, N., and Scheunders, P., Modeling effects of illumination and plant geometry on leaf reflectance spectra in close-range hyperspectral imaging, in 8th WHISPERS - Evolution in Remote Sensing, Los Angeles, USA, 2016.
C. C. Sabino, Andrade, L. S., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Motion Compensation Techniques in Permutation-Based Video Encryption, in Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, Washington, DC, USA, 2013, pp. 1578–1581.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., and Sijbers, J., Moving Statistical Body Shape Models Using Blender, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 28–38.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., and Sijbers, J., Moving Statistical Body Shape Models Using Blender, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 28–38.
V. Andrejchenko, Heylen, R., Liao, W., Philips, W., and Scheunders, P., MRF-based decision fusion for hyperspectral image classification, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018.
A. Adibi, Karami, A., Heylen, R., and Scheunders, P., Optical Solutions for Improving Spatial Resolution of Hyperspectral Sensors, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
B. Auer, Könik, A., Fromme, T. J., Kalluri, K., De Beenhouwer, J., Zubal, G. I., Furenlid, L. R., and King, M. A., Preliminary evaluation of surface mesh modeling of system geometry, anatomy phantom, and source activity for GATE simulations, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
B. Auer, De Beenhouwer, J., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., Preliminary investigation of attenuation and scatter correction strategies for a next-generation SPECT system dedicated to quantitative clinical brain imaging, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester, UK, 2019.
B. Auer, De Beenhouwer, J., Fromme, T. J., Kalluri, K., Goding, J. C., Zubal, G. I., Furenlid, L. R., and King, M. A., Preliminary investigation of design parameters of an innovative multi- pinhole system dedicated to brain SPECT imaging, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
R. Heylen, Akhter, M. A., and Scheunders, P., Solving the Hyperspectral Unmixing Problem with Projection Onto Convex Sets, in 21st European Signal Processing Conference (EUSIPCO), September 2013, Marrakech, Morocco, 2013.
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.
L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., Sparse-view Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks, in IEEE International Symposium on Biomedical Imaging (ISBI), 2023, pp. 880-884.
V. Andrejchenko, Zahiri, Z., Heylen, R., and Scheunders, P., A spectral mixing model accounting for multiple reflections and shadow, in IGARSS 2019, International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 286-289.
Z. Mahmood, Thoonen, G., Akhter, M. A., and Scheunders, P., Subpixel mapping of hyperspectral data using high resolution color images, in IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
J. Nam, Mysore, G. J., Ganseman, J., Lee, K., and Abel, J. S., A super-resolution spectrogram using coupled PLCA, in INTERSPEECH, Makuhari, Japan, 2010, pp. 1696-1699.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., and Andreoni, G., Using 3D Statistical Shape Models for Designing Smart Clothing, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 18–27.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., and Andreoni, G., Using 3D Statistical Shape Models for Designing Smart Clothing, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 18–27.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., and Andreoni, G., Using 3D Statistical Shape Models for Designing Smart Clothing, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 18–27.

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