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Journal Article
B. Fröhler, Elberfeld, T., Möller, T., Weissenböck, J., De Beenhouwer, J., Sijbers, J., Hege, H. - C., Kastner, J., and Heinzl, C., A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science, Computer Graphics Forum, vol. 38, no. 3, pp. 273-283, 2019.
G. Van de Wouwer, Scheunders, P., Van Dyck, D., Wuyts, F. L., and Van de Heyning, P. H., Voice recognition from spectrograms: a wavelet based approach, Fractals, vol. 5, pp. 165-172, 1997.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., Voltage Security Enhancement and Congestion Management via STATCOM & IPFC Using Artificial Intelligence, Iranian Journal of Science and Technology, vol. 1, no. 5, 2007.
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Dyck, D., and Raman, E., Watershed based segmentation of 3D MR data for volume quantization, Magnetic Resonance Imaging, vol. 15, pp. 679-688, 1997.PDF icon Download paper (3.18 MB)
G. Van de Wouwer, Scheunders, P., Livens, S., and Van Dyck, D., Wavelet correlation signatures for color texture characterization, pattern Recognition, vol. 32, pp. 443-451, 1999.
P. Scheunders and De Backer, S., Wavelet denoising of multicomponent images, using Gaussian Scale Mixture models and a noise-free image as priors, IEEE Transactions on Image Processing, vol. 16, pp. 1865-1872, 2007.
P. Scheunders, Wavelet thresholding of multivalued images, IEEE Transactions on Image Processing, vol. 13, pp. 475-483, 2004.
A. Duijster, Scheunders, P., and De Backer, S., Wavelet-Based EM Algorithm for Multispectral-Image Restoration, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 3892-3898, 2009.
P. Scheunders, Livens, S., Van de Wouwer, G., Vautrot, P., and Van Dyck, D., Wavelet-based texture analysis, Intern. Journal on Computer Science and Information Management, vol. 1, pp. 22-34, 1998.
G. Van de Wouwer and Scheunders, P., Wavelet-based texture classification, Recent Research in the Development of Pattern Recognition, vol. 1, pp. 77-87, 2000.
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls., NeuroImage, vol. 81, no. 1, pp. 335-346, 2013.PDF icon Download paper (2.89 MB)
H. Zivari Adab, Chalavi, S., Beets, I., Gooijers, J., Leunissen, I., Cheval, B., Collier, Q., Sijbers, J., Jeurissen, B., Swinnen, S. P., and Boisgontier, M., White matter microstructural organization of interhemispheric pathways predicts different stages of bimanual coordination learning in young and older adults, European Journal of Neuroscience , vol. 47, no. 5, pp. 446–459, 2018.
S. Van Dongen, Danckaers, F., Beerten, J., and Huysmans, T., Women's preferences for male facial masculinity are not condition-dependent in a large online study, The All Results Journals: Biol, vol. 10, no. 1, 2019.
G. Perfetti, Van de Casteele, E., Rieger, B., Wildeboer, W. J., and Meesters, G. M. H., X-ray micro tomography and image analysis as complementary methods for morphological characterization and coating thickness measurement of coated particles, Advanced Powder Technology, vol. 21, no. 6, pp. 663 - 675, 2010.
J. Sanctorum, De Beenhouwer, J., and Sijbers, J., X-ray phase contrast simulation for grating-based interferometry using GATE, Optics Express, vol. 28, no. 22, pp. 33390-33412, 2020.PDF icon Download paper (2.5 MB)

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