Publications

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M. Verhoye, De Groof, G., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., “In vivo visualization of the neuroanatomy and brain connectivity of starling brain through diffusion tensor imaging”, in 34rd Annual Meeting of the Society for Neuroscience, San Diego, USA, 2004.
S. Verwulgen, Lacko, D., De Bruyne, G., Danckaers, F., Christis, N., Sijbers, J., and Huysmans, T., “Anthropometrics 2.0: Enrichment of Classical Anthropometry through Multidisciplinary Collaboration”, in 6th International Conference on Engineering & Product Design Education., 2014.
S. Verwulgen, Lacko, D., Vleugels, J., Vaes, K., Danckaers, F., De Bruyne, G., and Huysmans, T., “A new data structure and workflow for using 3D anthropometry in the design of wearable products”, International Journal of Industrial Ergonomics, vol. 64, pp. 108 - 117, 2018.
S. Verwulgen, Vleugels, J., Lacko, D., De Bruyne, G., and Huysmans, T., “Evaluation of the thickness of hair layer from 3D scans and medical images”, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December.
S. Verwulgen, Lacko, D., Justine, H., Kustermans, S., Moons, S., Thys, F., Zelck, S., Vaes, K., Huysmans, T., Vleugels, J., and Truijen, S., “Determining Comfortable Pressure Ranges for Wearable EEG Headsets”, in Advances in Human Factors in Wearable Technologies and Game Design, Cham, 2019, pp. 11–19.
J. Vleugels, Lacko, D., De Bruyne, G., Huysmans, T., and Verwulgen, S., “Physical Evaluation of an Anthropometric Shape Model of the Human Scalp”, in Proceedings of the 6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 27-28 October, 2015.
S. B. Vos, Jones, D. K., Jeurissen, B., Viergever, M. A., and Leemans, A., “The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain”, NeuroImage, vol. 59, no. 3, pp. 2208 - 2216, 2012.
W
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, 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)
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)
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.
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.
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”, in 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.
Y
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 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.
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, “Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data”, University of Antwerp, Antwerp, 2003.
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.

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