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Journal Article
A. Postnov, De Schutter, T. T., Sijbers, J., Karperien, M., and De Clerck, N., Glucocorticoid-Induced Osteoporosis in Growing Mice Is Not Prevented by Simultaneous Intermittent PTH Treatment, Calcified Tissue International, vol. 85, pp. 530-537, 2009.PDF icon Download paper (344.96 KB)
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Grating designs for cone beam edge illumination X-ray phase contrast imaging: a simulation study, Optics Express, vol. 31, no. 17, pp. 28051-28064, 2023.
P. - J. Vanthienen, Francken, N., Sanctorum, J., Sijbers, J., and De Beenhouwer, J., Gratings for multiresolution edge illumination X-ray phase contrast imaging: concept and simulation, Optics Express, vol. 33, no. 8, pp. 17886-17902, 2025.
B. Haest, Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Mücher, C. A., Paelinckx, D., Scheunders, P., and Kempeneers, P., Habitat mapping and quality assessment of NATURA 2000 Heatland using airborne imaging spectroscopy, Remote Sensing, vol. 9, no. 3, 2017.
K. Hufkens, Thoonen, G., Vanden Borre, J., Scheunders, P., and Ceulemans, R., Habitat reporting of a heathland site: Classification probabilities as additional information, a case study, Ecological Informatics, vol. 5, pp. 248 - 255, 2010.
B. Rasti, Koirala, B., and Scheunders, P., HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022.PDF icon hapkecnnrg.pdf (8.23 MB)
B. Rasti, Koirala, B., and Scheunders, P., HapkeCNN: Blind nonlinear unmixing for intimate mixtures using Hapke model and convolutional neural network, IEEE Transactions on Geoscience and Remote Sensing, 2022.PDF icon hapke_cnn.pdf (8.14 MB)
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Harmonisation of Brain Diffusion MRI: Concepts and Methods, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020.PDF icon Download paper (2.61 MB)
M. Siqueira Pinto, Anania, V., Paolella, R., Smekens, C., Billiet, T., Janssens, T., den Dekker, A. J., Sijbers, J., Guns, P. - J., and Van Dyck, P., Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q MINDED Brain Intra-and Inter-Scanner Study, Frontiers in Neuroscience, vol. 19, 2025.
M. Mohammadian, Roine, T., Hirvonen, J., Kurki, T., Ala-Seppälä, H., Frantzén, J., Katila, A., Kyllönen, A., Maanpää, H. - R., Posti, J., Takala, R., Tallus, J., and Tenovuo, O., High angular resolution diffusion-weighted imaging in mild traumatic brain injury, NeuroImage: Clinical, vol. 13, pp. 174 - 180, 2017.PDF icon Download paper (848.3 KB)
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., High quality statistical shape modelling of the human nasal cavity and applications, Royal Society Open Science, vol. 5, no. 12, 2018.PDF icon Download paper (1.85 MB)
P. Scheunders and De Backer, S., High-dimensional clustering using frequency sensitive competitive learning, Pattern Recognition, vol. 32, pp. 193-202, 1999.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., How Hyperspectral Image Unmixing and Denoising Can Boost Each Other, Remote Sensing, vol. 12, no. 1728, 2020.PDF icon remotesensing-12-01728.pdf (2.27 MB)
A. J. den Dekker, Sijbers, J., and Van Dyck, D., How to optimize the design of a quantitative HREM experiment so as to attain the highest precision, Journal of Microscopy, vol. 194, pp. 95-104, 1999.PDF icon Download full paper (601.48 KB)
M. Zare, M. Helfroush, S., Kazemi, K., and Scheunders, P., Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition, Remote Sensing, vol. 13, no. 2930, 2021.PDF icon remotesensing-13-02930.pdf (3.79 MB)
A. Karami, Heylen, R., and Scheunders, P., Hyperspectral Image Compression Optimized for Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. pp, no. 99, 2016.
T. Hu, Li, W., Liu, N., Tao, R., Zhang, F., and Scheunders, P., Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 2, pp. 1516-1533, 2021.PDF icon tgrs_2020.pdf (5.71 MB)
R. Heylen and Scheunders, P., Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratio's, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 570-579, 2013.
M. Brackx, Van Wittenberghe, S., Verhelst, J., Scheunders, P., and Samson, R., Hyperspectral leaf reflectance of Carpines betulus L. saplings for urban air quality estimation, Environmental Pollution, vol. 220, pp. 159-167, 2017.
J. Bioucas-Dias, Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., and Chanussot, J., Hyperspectral remote sensing data analysis and future challenges, IEEE Geoscience and Remote Sensing Magazine, vol. 1, no. 2, pp. 6-36, 2013.
P. Ghosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., Hyperspectral Unmixing Using Transformer Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing.pdf (6.32 MB)
R. Heylen, Zare, A., Gader, P., and Scheunders, P., Hyperspectral unmixing with endmember variability via alternating angle minimization, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8, pp. 4983-4993, 2016.
I. Blockx, Verhoye, M., Van Audekerke, J., Bergwerf, I., Kane, J. X., Delgado Y Palacios, R., Veraart, J., Jeurissen, B., Raber, K., Von Hörsten, S., Ponsaerts, P., Sijbers, J., Leergaard, T. B., and Van Der Linden, A., Identification and characterization of Huntington related pathology: an in vivo DKI imaging study, NeuroImage, vol. 63, no. 2, pp. 653-662, 2012.
T. De Kerf, Pipintakos, G., Zahiri, Z., Vanlanduit, S., and Scheunders, P., Identification of corrosion minerals usning shortwave infrared hyperspectral imaging, Sensors, vol. 22, no. 1, p. 407, 2022.PDF icon sensors-22-00407-v2.pdf (4.41 MB)
I. J. Tsang, Tsang, I. R., and Van Dyck, D., Image processing using neighbourhood coding, Pattern Recognition Letters, vol. 20, pp. 1279-1286, 1999.

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