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J. H. Waarsing, Leemans, A., Day, J., Ederveen, A. G. H., Van Dyck, D., Buelens, E., De Clerck, N., Sasov, A., and Weinans, H., Effects of Growth and OVX in the Tibia of Individual Rats: an in-vivo Micro-CT Study, in 49th Annual Meeting - Orthopaedic Research Society, New Orleans, LA, USA, 2003.
Z. Wang, Rogge, S., Van Dael, M., Van Nieuwenhove, V., Verboven, P., Sijbers, J., and Nicolai, B., Understanding microstructural deformation of apple tissue from 4D micro-CT imaging, ISHS Symposium 2016: Sensing Plant Water Status - Methods and Applications in Horticultural Science. Potsdam, Germany, 5-7 October. 2016.
S. D. Washington, Hamaide, J., Jeurissen, B., Van Steenkiste, G., Huysmans, T., Sijbers, J., Deleye, S., Kanwal, J. S., De Groof, G., Liang, S., Van Audekerke, J., Wenstrup, J. J., Van Der Linden, A., Radtke-Schuller, S., and Verhoye, M., A three-dimensional digital neurological atlas of the mustached bat (Pteronotus parnellii), NeuroImage, vol. 183, pp. 300-313, 2018.
J. Weissenböck, Arikan, M., Salaberger, D., Kastner, J., De Beenhouwer, J., Sijbers, J., Rauchenzauner, S., Raab-Wernig, T., Gröller, E., and Heinzl, C., Comparative Visualization of Orientation Tensors in Fiber-Reinforced Polymers, in 8th Conference on Industrial Computed Tomography, Wels, Austria , 2018.PDF icon Download paper (1.03 MB)
J. Weissenböck, Fröhler, B., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., Karunakaran, S. Ayalur, Hoeller, H., Kastner, J., and Heinzl, C., An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.22 MB)
B. Weyn, Van de Wouwer, G., Van Daele, A., Scheunders, P., Van Dyck, D., Van Marck, E., and Jacob, W., Automated breast tumour diagnosis and grading based on wavelet chromatin texture description, Cytometry, vol. 33, pp. 32-40, 1998.
B. Weyn, Van de Wouwer, G., Koprowski, M., Van Daele, A., Dhaene, K., Scheunders, P., Jacob, W., and Van Marck, E., Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma, Journal of Pathology, vol. 4, pp. 581-589, 1999.
B. Weyn, Tjalam, W., Van de Wouwer, G., Van Daele, A., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., Validation of nuclear texture density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma, Analytical and Quantitative Cytology and Histology, vol. 22, pp. 373-382, 2000.
B. Weyn, Van de Wouwer, G., Samir, G. K., Van Daele, A., Scheunders, P., Van Marck, E., and Jacob, W., Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis, Cytometry, vol. 35, pp. 23-29, 1999.
I. Wielaard, Reijmer, Y. D., Leemans, A., Heringa, S. M., Jeurissen, B., Koek, H. L., and Biessels, G. J., Diffusion tensor imaging and cognition in Alzheimer’s disease: the influence of crossing fibers, Endo-Neuro Psycho Meeting. Lunteren, The Netherlands, 2011.
G. Wolf and Scheunders, P., Evaluation of the swimming activity of Daphnia magna by image analysis after administration of sublethal Cadmium concentrations, Comparative Biochemistry and Physiology A, vol. 120, pp. 99-105, 1998.
F. L. Wuyts, Jillings, S., Van Ombergen, A., Jeurissen, B., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., and others, Novel insight on effect and recovery of long-duration spaceflight on the ventricles of the space traveller's brain, Proceedings of the International Astronautical Congress, IAC, vol. 2019. International Astronautical Federation, p. IAC–19_A1_2_4_x51230, 2019.
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M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Probability of Detection applied to X-ray inspection using numerical simulations, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
S. Yu, De Backer, S., and Scheunders, P., Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
S. Yu and Scheunders, P., Fuzzy markov chains approach to feature selection for high dimensional remote sensing data, in Geoscience and Remote Sensing Symposium, 2001, pp. 3306-3308.
S. Yu, De Backer, S., and Scheunders, P., Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
S. Yu, De Backer, S., and Scheunders, P., Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
S. Yu, Scheunders, P., and De Backer, S., Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.
S. Yu, Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data, University of Antwerp, Antwerp, 2003.
S. Yu and Scheunders, P., Feature selection for high-dimensional remote sensing data by a maximum entropy principal based optimization, in Proc. Geoscience and Remote Sensing Symposium, 2001, pp. 3303-3305.
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Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.

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