Publications

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Author Type [ Year(Asc)]
2017
P. Van Dyck, Froeling, M., De Smet, E., Pullens, P., Torfs, M., Verdonck, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Journal of Magnetic Resonance Imaging, vol. 46, no. 5, pp. 1423–1432, 2017.
Distinguishing Façade Material Change using Hyperspectral Imaging. 2017.
E. Janssens, De Beenhouwer, J., Sanctorum, J., Senck, S., Heinzl, C., and Sijbers, J., Dual axis Dark Field Contrast Tomography for visualisation of scattering directions in a CFRP sample, 4th Conference on X-ray and Neutron Phase Imaging with Gratings. Zürich, Switzerland, pp. 79-80, 2017.PDF icon Download poster (729.94 KB)PDF icon Download abstract (116.29 KB)
A. Van Ombergen, Demertzi, A., Tomilovskaya, E., Jeurissen, B., Sijbers, J., Kozlovskaya, I. B., Parizel, P. M., Van de Heyning, P. H., Sunaert, S., Laureys, S. S. L., and Wuyts, F. L., The effect of spaceflight and microgravity on the human brain, Journal of Neurology, vol. 246, no. 1, pp. 18-22, 2017.
D. Lacko, Vleugels, J., Fransen, E., Huysmans, T., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., Ergonomic design of an EEG headset using 3D anthropometry, Applied Ergonomics, vol. 58, pp. 128–136, 2017.
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.
R. Heylen, Parente, M., and Scheunders, P., Estimation of the number of endmembers in a hyperspectral image via the hubness phenomenon, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, pp. 2191-2200, 2017.
A. J. Rebelo, Scheunders, P., Esler, K. J., and Meire, P., Evaluating palmiet wetland decline: a comparison of three methods, Remote Sensing Applications: Society and Environment, vol. 8, pp. 212-223, 2017.
J. Hamaide, De Groof, G., Van Steenkiste, G., Jeurissen, B., Van Audekerke, J., Naeyaert, M., Van Ruijssevelt, L., Cornil, C., Sijbers, J., Verhoye, M., and Van Der Linden, A., Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging, NeuroImage, vol. 146, pp. 789-803, 2017.
E. Janssens, Senck, S., Heinzl, C., Kastner, J., De Beenhouwer, J., and Sijbers, J., Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (345.06 KB)
A. Van Tongel, De Wilde, L., De Smet, K., Decock, T., Van Herzele, E., Van Den Broecke, R., Shimamura, Y., Sijbers, J., and Huysmans, T., Fracture Patterns In Midshaft Clavicle Fracture, the 27th Congress of the European Society for Surgery of the Shoulder and the Elbow (SECEC-ESSSE), Brussels. 2017.
R. Luo, Liao, W., Zhang, H., Zhang, L., Pi, Y., Scheunders, P., and Philips, W., Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensing Scene, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 8, pp. 3768-3781, 2017.
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.
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)
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.
T. Roine, Improved reliability of fiber orientation estimation and graph theoretical analysis of structural brain networks with diffusion MRI, University of Antwerp, 2017.
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.
A. Van Ombergen, Wuyts, F. L., Jeurissen, B., Sijbers, J., Vanhevel, F., Jillings, S., Parizel, P. M., Sunaert, S., Van de Heyning, P. H., Dousset, V., Laureys, S. S. L., and Demertzi, A., Intrinsic connectivity reduces in vestibular-related regions after first-time exposure to short-term gravitational alterations, Scientific Reports, vol. 7, no. 3061, 2017.PDF icon Download paper (3.47 MB)
J. Cant, Iterative reconstruction for mobile chest tomosynthesis, 2017.PDF icon Download thesis (5.77 MB)
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Maximizing precision in PCASL MRI using an optimized sampling strategy, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Barcelona, Spain. 2017.
J. Sijbers and De Beenhouwer, J., Mobile imaging of an object using penetrating radiation, U.S. Patent WO/2017/1783342017.
V. Van Nieuwenhove, Model-based reconstruction algorithms for dynamic X-ray CT, 2017.PDF icon Download thesis (4.65 MB)
V. Van Nieuwenhove, De Beenhouwer, J., Vlassenbroeck, J., Brennan, M., and Sijbers, J., MoVIT: A tomographic reconstruction framework for 4D-CT, Optics Express, vol. 25, no. 16, pp. 19236-19250, 2017.
M. Van Dael, Verboven, P., Dhaene, J., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Multisensor X-ray inspection of internal defects in horticultural products, Postharvest Biology and Technology, vol. 128, pp. 33–43, 2017.
P. V. Sudeep, Palanisamy, P., Kesavadas, C., Sijbers, J., den Dekker, A. J., and Rajan, J., A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps, Signal Image and Video Processing, vol. 11, no. 5, pp. 913-920, 2017.

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