Publications

Export 972 results:
Author [ Type(Asc)] Year
Journal Article
Baillieux, M., and P. Scheunders, "On-line determination of the velocity of simultaneously moving organisms by image analysis for the detection of sublethal toxicity", Water Research, vol. 32, no. 4, pp. 1027-1034, 1998.
Ramos-Llordén, G., G. Vegas-Sánchez-Ferrero, M. Björk, F. Vanhevel, P. M. Parizel, R. San José Estépar, A J. den Dekker, and J. Sijbers, "NOVIFAST: A fast algorithm for accurate and precise VFA MRI T1 mapping", IEEE Transactions on Medical Imaging, vol. 37, issue 11, pp. 2414 - 2427, 2018. PDF icon Download paper (3.3 MB)
Naeyaert, M., D. Roose, Z. Mai, A. J. Keliris, J. Sijbers, A. Van Der Linden, and M. Verhoye, "Normalized Averaged Range (nAR), a Robust Quantification Method for MPIO-content", Journal of Magnetic Resonance, vol. 300, pp. 18-27, 2019.
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)
Sudeep, P. V., P. Palanisamy, C. Kesavadas, J. Sijbers, A J. den Dekker, and J. Rajan, "A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps", Signal Image and Video Processing, vol. 11, issue 5, pp. 913-920, 2017.
Rajan, J., J. Veraart, J. Van Audekerke, M. Verhoye, and J. Sijbers, "Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images.", Magnetic resonance imaging, vol. 30, issue 10, pp. 1512-8, 2012 Dec.
Rajan, J., J. Veraart, J. Van Audekerke, M. Verhoye, and J. Sijbers, "Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images", Magnetic Resonance Imaging, vol. 30, issue 10, pp. 1512-1518, 2012. PDF icon Download full paper (1.11 MB)
Heylen, R., P. Scheunders, P. Gader, and A. Rangarajan, "Nonlinear unmixing by using different metrics in a linear unmixing chain", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015.
Heylen, R., D. Burazerovic, and P. Scheunders, "Nonlinear spectral unmixing by geodesic simplex volume maximization", IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp. 534-542, 2011.
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.
Heylen, R., V. Andrejchenko, Z. Zahiri, M. Parente, and P. Scheunders, "Nonlinear hyperspectral unmixing with graphical models", IEEE Transaction on Geoscience and Remote Sensing, 2019.
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.
Karami, A., M.Yazdi, and A. Zolghadre, "Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition", IEEE Journal of Selected Topics in Signal Processing, vol. 5, issue 3, 2011.
Rasti, B., P. Scheunders, P. Ghesami, G. Licciardi, and J. Chanussot, "Noise reduction in hyperspectral imagery: overview and application", Remote Sensing , vol. 10, issue 3, pp. 482, 2018.
Rajan, J., D. H. J. Poot, J. Juntu, and J. Sijbers, "Noise measurement from magnitude MRI using local estimates of variance and skewness.", Physics in medicine and biology, vol. 55, issue 16, pp. N441-9, 2010 Aug 21. PDF icon Download paper (219.85 KB)
Rajan, J., A J. den Dekker, and J. Sijbers, "A new non local maximum likelihood estimation method for Rician noise reduction in Magnetic Resonance images using the Kolmogorov-Smirnov test", Signal Processing, vol. 103, pp. 16-23, 2014.
Verwulgen, S., D. Lacko, J. Vleugels, K. Vaes, F. Danckaers, G. De Bruyne, and T. Huysmans, "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.
Jenssen, H K., B. C. Oberlander, J. De Beenhouwer, J. Sijbers, and M. Verwerft, "Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor", Progress in Nuclear Energy, vol. 72, pp. 55-62, 2014.
Kooy, R. F., E. Reyniers, M. Verhoye, J. Sijbers, P. Cras, B. A. Oostra, P. J.. Willems, and A. Van Der Linden, "Neuroanatomy of the fragile X knockout mouse brain studied using in vivo high resolution Magnetic Resonance Imaging (MRI)", European Journal of Human Genetics, vol. 7, pp. 526-532, 1999. PDF icon ejhg99.pdf (261.08 KB)
Janssens, E., J. De Beenhouwer, M. Van Dael, T. De Schryver, L. Van Hoorebeke, P. Verboven, B. Nicolai, and J. Sijbers, "Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection", Measurement Science and Technology, vol. 29, issue 3, 2018. PDF icon Download paper (3.4 MB)
Scheunders, P., "A multivalued image wavelet representation based on multiscale fundamental forms", IEEE Transactions on Image Processing, vol. 11, no. 5, pp. 568-575, 2002.
Jeurissen, B., J-D. Tournier, T. Dhollander, A. Connelly, and J. Sijbers, "Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data", NeuroImage, vol. 103, pp. 411–426, 2014.
Thoonen, G., Z. Mahmood, S. Peeters, and P. Scheunders, "Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion", Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, no. 2, pp. 510 - 521, 2012.
Van Dael, M., P. Verboven, J. Dhaene, L. Van Hoorebeke, J. Sijbers, and B. Nicolai, "Multisensor X-ray inspection of internal defects in horticultural products", Postharvest Biology and Technology, vol. 128, pp. 33–43, June, 2017.

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