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2016
C. Distante, Blanc-Talon, J., Philips, W., Popescu, D., and Scheunders, P., ACIVS 2016, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 10016. 2016.
S. Van Aert, De Backer, A., Martinez, G. T., den Dekker, A. J., Van Dyck, D., Bals, S., and Van Tendeloo, G., Advanced electron crystallography through model-based imaging, IUCrJ, vol. 3, 2016.
W. Guo, Hung, C. - C., Scheunders, P., Kuo, B. - C., Lan, Y., and Ma, Z., Advanced techniques for computational and information sciences, Mathematical Problems in Engineering, vol. 2016, 2016.
R. Heylen, Scheunders, P., Zare, A., and Gader, P., Alternating angle minimization based unmixing with endmember variability, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 6974-6977, Beijing, July 10-15 , 2016.
D. Zanaga, Altantzis, T., Sanctorum, J., Freitag, B., and Bals, S., An alternative approach for ζ-factor measurement using pure element nanoparticles, Ultramicroscopy, vol. 164, pp. 11–16, 2016.
M. Van Dael, Verboven, P., Nicolai, B., Dhaene, J., Van Hoorebeke, L., and Sijbers, J., Automated quality control and selection , U.S. Patent PCT/EP2016/0557182016.
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., Automatic forensic analysis of automotive paints using optical microscopy, Forensic Science International, vol. 259, pp. 210-220, 2016.
J. Cant, Behiels, G., and Sijbers, J., Automatic geometric calibration of chest tomosynthesis using data consistency conditions, in The 4th International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2016, pp. 161-164.PDF icon Download paper (1.9 MB)
J. Fatermans, Van Aert, S., and den Dekker, A. J., Bayesian model-order selection in electron microscopy to detect atomic columns in noisy images, RBSM 2016, Brussels, Belgium. p. 53, 2016.
F. Danckaers, Huysmans, T., and Sijbers, J., Building 3D Statistical Shape Models of Vegetables and Fruit, National Symposium for Applied Biological Sciences 2016 (NSABS). 2016.
F. Danckaers, Huysmans, T., Rogge, S., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building a statistical shape model of the interior and exterior of the bell pepper, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference, vol. 28-30 November. Vienna, Austria, 2016.
W. R. Crum, Danckaers, F., Huysmans, T., Cotel, M. - C., Natesan, S., Modo, M. M., Sijbers, J., Williams, S. C. R., Kapur, S., and Vernon, A. C., Chronic exposure to haloperidol and olanzapine leads to common and divergent shape changes in the rat hippocampus in the absence of grey-matter volume loss, Psychological Medicine, vol. 46, no. 15, pp. 3081-3093, 2016.
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.
P. Mishra, Asaari, M. Shahrimie, Mertens, S., Wuyts, N., Dhondt, S., and Scheunders, P., Close range hyperspectral imaging for plant phenotyping, in Hyperspectral Imaging and Applications Conference, Coventry, UK, 2016.
M. Van Dael, Danckaers, F., De Schryver, T., Huysmans, T., Verboven, P., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Combining 3D vision and X-ray radiography for internal quality inspection of foods, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference. Austrian Economic Chamber, Vienna, Austria, 2016.
S. Hassanzadeh, Karami, A., Heylen, R., and Scheunders, P., Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
J. Cant and Sijbers, J., Computerized Tomographic Image Exposure and Reconstruction Method, U.S. Patent PCT/EP2015/0599562016.PDF icon Download patent (595.32 KB)
J. Cant, Behiels, G., and Sijbers, J., Continuous Digital Laminography, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016.PDF icon Download paper (363.74 KB)
A. Demertzi, Van Ombergen, A., Tomilovskaya, E., Jeurissen, B., Pechenkova, E. V., Di Perri, C., Litvinova, L., Amico, E., Rumshiskaya, A., Rukavishnikov, I., Sijbers, J., Sinitsyn, V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., Cortical reorganization in an astronaut’s brain after long-duration spaceflight, Brain Structure and Function, vol. 221, no. 5, pp. 2873–2876, 2016.PDF icon Download paper (820.49 KB)
D. Perrone, Jeurissen, B., Aelterman, J., Roine, T., Sijbers, J., Pizurica, A., Leemans, A., and Philips, W., D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data, PlosOne, vol. 11, pp. 1-23, 2016.PDF icon Download paper (16.22 MB)
J. Veraart, Novikov, D. S., Daan, C., Ades-Aron, B., Sijbers, J., and Fieremans, E., Denoising of diffusion MRI using random matrix theory, NeuroImage, vol. 142, pp. 384-396, 2016.PDF icon Download paper (4.53 MB)
A. Karami, Heylen, R., and Scheunders, P., Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Detecting and locating light atoms from high-resolution STEM images: the quest for a single optimal design Ultramicroscopy, Ultramicroscopy, vol. 170, pp. 128-138, 2016.
J. Veraart and Sijbers, J., Diffusion Kurtosis Imaging, in Diffusion Tensor Imaging: a practical handbook, New York: Springer-Verlag, 2016, pp. 407-418.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Naeyaert, M., Vanhoutte, G., Delgado Y Palacios, R., Praet, J., Fieremans, E., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination, NeuroImage, vol. 125, pp. 363–377, 2016.

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