Publications

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Journal Article
Yu, S., S. De Backer, and P. Scheunders, "Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery", Pattern Recognition Letters, vol. 23, no. 1, pp. 183-190, 2002.
Scheunders, P., and S. De Backer, "High-dimensional clustering using frequency sensitive competitive learning", Pattern Recognition, vol. 32, no. 2, pp. 193-202, 1999.
Juntu, J., J. Sijbers, S. De Backer, J. Rajan, and D. Van Dyck, "A Machine Learning Study of Several Classifiers Trained with Texture Analysis Features to Differentiate Benign from Malignant Soft Tissue Tumors in T1-MRI Images", Journal of Magnetic Resonance Imaging, vol. 31, pp. 680–689, 2010. PDF icon Download paper (300.61 KB)
Kempeneers, P., P. J. Zarco-Tejada, P. R. J. North, S. De Backer, S. Delalieux, G. Sepulcre-Canto, F. Morales, J. van Aardt, R. Sagardoy, P. Coppin, et al., "Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery", International Journal of Remote Sensing, vol. 29, no. 17, pp. 5093-5111, 2008.
De Backer, S., F. Cornelissen, J. Lemeire, R. Nuydens, T. Meert, P. Schelkens, and P. Scheunders, "Mosiacing of Fibered Fluorescence Microscopy Video", Lecture notes in Computer Science, vol. 5259, pp. 915-923, October, 2008.
Duijster, A., S. De Backer, and P. Scheunders, "Multicomponent image restoration, an experimental study", Lecture Notes in Computer Science, vol. 4633, pp. 58-68, 2007.
Leemans, A., J. Sijbers, S. De Backer, E. Vandervliet, and P. M. Parizel, "Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data", Magnetic Resonance in Medicine, vol. 55, no. 6, pp. 1414-1423, 2006.
Zhang, Y., S. De Backer, and P. Scheunders, "Noise-resistant wavelet-based Bayesian fusion of multispectral and hyperspectral images", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3834-3843, 2009.
De Backer, S., A. Naud, and P. Scheunders, "Non-linear Dimensionality Reduction Techniques for Unsupervised Feature Extraction", Pattern Recognition Letters, vol. 19, pp. 711-720, 1998.
Scheunders, P., S. De Backer, and A. Naud, "Non-linear mapping for feature extraction", Lecture Notes in Computer Science, vol. 1451, pp. 823-830, 1998.
Van Hecke, W., A. Leemans, E. D'Agostino, S. De Backer, E. Vandervliet, P. M. Parizel, and J. Sijbers, "Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information", IEEE Transactions on Medical Imaging, vol. 26, no. 11, pp. 1598-1612, 2007. PDF icon Download paper (1.85 MB)
Liu, G., T. Nath, Z. Guo, G. Linneweber, A. Claeys, J. Li, M. Bengochea, S. De Backer, B. Weyn, M. Sneyders, et al., "A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila", Plos Computational Biology, vol. 14, issue 8, pp. e1006410, 2018.
De Backer, S., and P. Scheunders, "Texture segmentation by frequency-sensitive elliptical competitive learning", Image and Vision Computing, vol. 19, no. 9, pp. 639-648, 2001.
Van den Broek, W., J. Verbeeck, D. Schryvers, S. De Backer, and P. Scheunders, "Tomographic Spectroscopic Imaging; an experimental proof of concept", Ultramicroscopy, vol. 109, pp. 296-303, 2009.
Scheunders, P., and S. De Backer, "Wavelet denoising of multicomponent images, using Gaussian Scale Mixture models and a noise-free image as priors", IEEE Transactions on Image Processing, vol. 16, no. 7, pp. 1865-1872, July, 2007.
Duijster, A., P. Scheunders, and S. De Backer, "Wavelet-Based EM Algorithm for Multispectral-Image Restoration", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3892-3898, November, 2009.

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