Publications

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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.
H. Aerts, Schirner, M., Jeurissen, B., Van Roost, D., Achten, E., Ritter, P., and Marinazzo, D., Modeling brain dynamics in brain tumor patients using The Virtual Brain, eNeuro, 2018.
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.
M. A. Akhter, Heylen, R., and Scheunders, P., Geometric matched filter for hyperspectral partial unmixing, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
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.
M. A. Akhter, Heylen, R., and Scheunders, P., A geometric matched filter for hyperspectral target detection and partial unmixing, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 661-665, 2015.
L. F. Alves Pereira, Janssens, E., Cavalcanti, G. D. C., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Inline Discrete Tomography system: application to agricultural product inspection, Computers and Electronics in Agriculture, vol. 138, pp. 117–126, 2017.
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Fast X-ray Computed Tomography via Image Completion, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
L. F. Alves Pereira, De Beenhouwer, J., Kastner, J., and Sijbers, J., Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks, in ICTAI 2020, 2020.PDF icon Download paper (2.5 MB)
L. F. Alves Pereira, Dabravolski, A., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., Conveyor belt X-ray CT using Domain Constrained Discrete Tomography, in Sibgrapi conference on Graphics, Patterns and Images, 2014, pp. 290 - 297.PDF icon Download paper (3.45 MB)
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)
V. Anania, Billiet, T., Jeurissen, B., Sijbers, J., and den Dekker, A. J., Robust outlier detection for diffusion kurtosis MRI based on IRLLS, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, vol. 32. 2019.
V. Anania, Billiet, T., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Improved voxel-wise quantification of diffusion and kurtosis metrics in the presence of noise and intensity outliers, 12th Annual Meeting ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.
V. Andrejchenko, Liao, W., Philips, W., and Scheunders, P., Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields, Remote Sensing, vol. 11, 2019.
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.
V. Andrejchenko, Heylen, R., Scheunders, P., Philips, W., and Liao, W., Classification of hyperspectral images with very small training size using sparse unmixing, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
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.
B. T. Antonsen, Jiang, Y., Veraart, J., Qu, H., Nguyen, H. P., Sijbers, J., Von Hörsten, S., Johnson, A. G., and Leergaard, T. B., Altered diffusion tensor imaging measurements in aged transgenic Huntington disease rats., Brain structure & function, vol. 218, no. 3, pp. 767-78, 2013.PDF icon Download paper (645.02 KB)
G. Araizi-Kanoutas, Geessinck, J., Gauquelin, N., Smit, S., Verbeeck, X. H., Mishra, S. K., Bencok, P., Schlueter, C., Lee, T. - L., Krishnan, D., Fatermans, J., Verbeeck, J., Rijnders, G., Koster, G., and Golden, M. S., Co valence transformation in isopolar LaCoO3/LaTiO3 perovskite heterostructures via interfacial engineering, Phys. Rev. Materials, vol. 4, 2020.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
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.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Wuyts, N., and Scheunders, P., Detection of plant responses to drought using close-range hyperspectral imaging in a high-throughput phenotyping platform, in IEEE Whispers 2018, Workshop on Hyperspectral Image and Signal Processing, Amsterdam, 23-26 September , 2018.
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.
B. Auer, Kalluri, K., De Beenhouwer, J., Zeraatkar, N., Könik, A., Kuo, P. H., Furenlid, L. R., and King, M. A., Investigation of keel versus knife edge pinhole profiles for a next-generation SPECT system dedicated to clinical brain imaging, 2nd International Conference on Monte Carlo Techniques for Medical Applications. 2019.

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