Publications

Export 989 results:
Author [ Type(Desc)] Year
Journal Article
Scheunders, P., "Joint quantization and error-diffusion of color images using competitive learning", Journal of the IEE Proceedings, Vision, Image and Signal Processing, vol. 14, no. 2, pp. 137-140, 1998.
Fransen, E., R. Dhooghe, G. Van Camp, M. Verhoye, J. Sijbers, E. Reyniers, P. Soriano, H. Kamiguchi, R. Willemsen, K. E. Koekoek, et al., "L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns", Human Molecular Genetics, vol. 7, no. 6, pp. 999-1009, 1998. PDF icon Download paper (248.02 KB)
den Dekker, A J., D. H. J. Poot, R. Bos, and J. Sijbers, "Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study", IEEE Transactions on Medical Imaging, vol. 28, no. 2, pp. 287-296, February, 2009.
Sijbers, J., A J. den Dekker, and R. Bos, "A likelihood ratio test for functional MRI data analysis to account for colored noise", Lecture Notes in Computer Science, vol. 3708, pp. 538-546, September, 2005. PDF icon Download full paper (483.15 KB)
Emsell, L., A. Leemans, C. Langan, W. Van Hecke, G. J. Barker, P. McCarthy, B. Jeurissen, J. Sijbers, S. Sunaert, D. M. Cannon, et al., "Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study", Biologicial Psychiatry, vol. 73, issue 2, pp. 194-201, 2013.
Van Nieuwenhove, V., G. Van Eyndhoven, K. J. Batenburg, N. Buls, J. Vandemeulebroucke, J. De Beenhouwer, and J. Sijbers, "Local Attenuation Curve Optimization (LACO) framework for high quality perfusion maps in low-dose cerebral perfusion CT", Medical Physics, vol. 43, issue 12, pp. 6429-6438, 2016.
Scheunders, P., "Local mapping for multispectral image visualisation", Image and Vision Computing, vol. 19, no. 13, pp. 971-978, 2001.
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)
Delgado Y Palacios, R., C. Adriaan, H. Kim, M. Verhoye, D. H. J. Poot, D. Jouke, J. Van Audekerke, H. Benveniste, J. Sijbers, O.. Wiborg, et al., "Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model", Biological psychiatry, vol. 70, no. 5, pp. 449-457, 2011.
Leemans, A., J. Sijbers, M. Verhoye, A. Van Der Linden, and D. Van Dyck, "Mathematical Framework for Simulating Diffusion Tensor MR Neural Fiber Bundles", Magnetic Resonance in Medicine, vol. 53, pp. 944-953, 2005. PDF icon Download full paper (1.55 MB)
Keustermans, W., T. Huysmans, B. Schmelzer, J. Sijbers, and J. J. J. Dirckx, "Matlab® toolbox for semi-automatic segmentation of the human nasal cavity based on active shape modeling", Computers in Biology and Medicine, vol. 105, pp. 27-38, 2019.
Fatermans, J., S. Van Aert, and A J. den Dekker, "The maximum a posteriori probability rule for atom column detection from HAADF STEM images", Ultramicroscopy, vol. 201, pp. 81-91, 2019.
Rajan, J., B. Jeurissen, M. Verhoye, J. Van Audekerke, and J. Sijbers, "Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods", Physics in Medicine and Biology, vol. 56, no. 16, pp. 5221-5234, 2011. PDF icon Download full paper (643.93 KB)
Sijbers, J., A J. den Dekker, P. Scheunders, and D. Van Dyck, "Maximum Likelihood estimation of Rician distribution parameters", IEEE Transactions on Medical Imaging, vol. 17, no. 3, pp. 357-361, 1998. PDF icon Download paper (106.26 KB)
Sijbers, J., and A J. den Dekker, "Maximum Likelihood estimation of signal amplitude and noise variance from MR data", Magnetic Resonance in Medicine, vol. 51, no. 3, pp. 586-594, 2004. PDF icon Download full paper (295.12 KB)
Goris, B., J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchez-Iglesias, L. M. Liz-Marzán, S. Van Aert, S. Bals, J. Sijbers, et al., "Measuring Lattice Strain in Three Dimensions through Electron Microscopy", Nano Letters, vol. 15, issue 10, pp. 6996–7001, 2015.
Van den Broek, W., A. Rosenauer, J. Sijbers, D. Van Dyck, and S. Van Aert, "A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM Ultramicroscopy", Ultramicroscopy, vol. 141, pp. 22–31, 2014.
Sanctorum, J., D. Adriaens, J. J. J. Dirckx, J. Sijbers, C. Van Ginneken, P. Aerts, and S. Van Wassenbergh, "Methods for characterization and optimisation of measuring performance of stereoscopic x-ray systems with image intensifiers", Measurement Science and Technology, vol. 30, issue 10, 2019.
Blockx, I., G. De Groof, M. Verhoye, J. Van Audekerke, K. Raber, D. H. J. Poot, J. Sijbers, A. P. Osmand, S. Von Hörsten, and A. Van Der Linden, "Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.", NeuroImage, vol. 59, no. 2, pp. 957-67, 2012 Jan 16.
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.
Van de Casteele, E., D. Van Dyck, J. Sijbers, and E. Raman, "A model-based correction method for beam hardening artefacts in X-ray microtomography", Journal of X-ray science and technology, vol. 12, no. 1, pp. 53-57, 2004. PDF icon Download full paper (581.05 KB)
Bettens, E., D. Van Dyck, A J. den Dekker, J. Sijbers, and A. van den Bos, "Model-based two-object resolution from observations having counting statistics", Ultramicroscopy, vol. 77, no. 1, pp. 37-48, 1999. PDF icon Download full paper (226 KB)
Cant, J., W J. Palenstijn, G. Behiels, and J. Sijbers, "Modeling blurring effects due to continuous gantry rotation: application to region of interest tomography", Medical Physics, vol. 42, issue 5, pp. 2709-2717, 2015.
Aerts, H., M. Schirner, B. Jeurissen, D. Van Roost, E. Achten, P. Ritter, and D. Marinazzo, "Modeling brain dynamics in brain tumor patients using The Virtual Brain", eNeuro, 2018.
Veraart, J., D. H. J. Poot, W. Van Hecke, I. Blockx, A. Van Der Linden, M. Verhoye, and J. Sijbers, "More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging", Magnetic Resonance in Medicine, vol. 65, no. 1, pp. 138-145, January, 2011. PDF icon Download paper (387.31 KB)

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