Publications

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Journal Article
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.
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.
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.
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.
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.
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)
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.
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.
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.
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.
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.
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.
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.
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)
Scheunders, P., and S. De Backer, "High-dimensional clustering using frequency sensitive competitive learning", Pattern Recognition, vol. 32, no. 2, pp. 193-202, 1999.
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.
Kempeneers, P., S. De Backer, W. Debruyn, and P. Scheunders, "Generic Wavelet-Based Hyperspectral Classification Applied to Vegetation Stress Detection", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 610-614, March, 2005.
Scheunders, P., and S. De Backer, "Fusion and merging of multispectral images using multiscale fundamental forms", Journal of the Optical Society of America A, vol. 18, no. 10, pp. 2468-2477, 2001.
Praet, J., N. Manyakov, L. Muchene, Z. Mai, V. Terzopoulos, S. De Backer, A. Torremans, P. J. Guns, T. Van De Casteele, A. Bottelbergs, et al., "Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology.", Alzheimer's Research & Therapy , vol. 10, issue 1, pp. 1-16, 2018.
De Backer, S., A. Pizurica, B. Huysmans, W. Philips, and P. Scheunders, "Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators", Image and Vision Computing, vol. 26, no. 7, pp. 1038-1051, July, 2008.
Van Hecke, W., J. Sijbers, E. D'Agostino, F. Maes, S. De Backer, E. Vandervliet, P. M. Parizel, and A. Leemans, "On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain", NeuroImage, vol. 43, no. 1, pp. 69-80, 2008. PDF icon Download paper (3.34 MB)
Van Hecke, W., J. Sijbers, S. De Backer, D. H. J. Poot, P. M. Parizel, and A. Leemans, "On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods", NeuroImage, vol. 46, no. 3, pp. 692-707, July, 2009. PDF icon Download paper (4.14 MB)
De Backer, S., and P. Scheunders, "A competitive elliptical clustering algorithm", Pattern Recognition Letters, vol. 20, no. 11, pp. 1141-1147, 1999.
Van Hecke, W., A. Leemans, S. De Backer, B. Jeurissen, P. M. Parizel, and J. Sijbers, "Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation study", Human Brain Mapping, vol. 31, no. 1, pp. 98-114, 2010.

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