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2011
Z. Mahmood and Scheunders, P., Enhanced visualization of hyperspectral images, IEEE Geoscience and Remote Sensing letters, vol. 8, pp. 869-873, 2011.
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., An extended NLML method for denoising non-central chi distributed data - application to parallel MRI, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.
T. Dhollander, Veraart, J., Van Hecke, W., Maes, F., Sunaert, S., Sijbers, J., and Suetens, P., Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space, in MICCAI 2011: Medical Image Computing and Computer-Assisted Intervention, 2011, pp. 166-173.
M. Froeling, Strijkers, G. J., Jeurissen, B., van der Paardt, M., Stoker, J., Nicolay, K., Nederveen, A. J., and Leemans, A., Fiber architecture of the female pelvic floor: An exploratory investigation using different diffusion MRI tractography algorithms, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
R. Heylen, Burazerovic, D., and Scheunders, P., Fully constrained least-squares spectral unmixing by simplex projection, IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4112-4122, 2011.PDF icon PDF (1.11 MB)Package icon Matlab code (1.93 KB)
G. Verdoolaege and Scheunders, P., Geodesics on the Manifold of Multivariate Generalized Gaussian Distributions With an Application to Multicomponent Texture Discrimination, International Journal of Computer Vision, vol. 95, pp. 265-286, 2011.
D. Perrone, Aelterman, J., Kudzinava, M., Sijbers, J., Pizurica, A., Philips, W., and Leemans, A., Gibbs artifact suppression for DT-MRI data, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.
A. Karami, M.Yazdi,, and Mercier, G., Hyperspectral Image Compression based on Tucker Decomposition and Wavelet Transform, WHISPERS . Lisbon, Portugal, 2011.
G. Van Gompel, Van Slambrouck, K., Defrise, M., Batenburg, K. J., De Mey, J., Sijbers, J., and Nuyts, J., Iterative correction of beam hardening artifacts in CT, Medical Physics, vol. 38, pp. 36-49, 2011.
R. Delgado Y Palacios, Adriaan, C., Kim, H., Verhoye, M., Poot, D. H. J., Jouke, D., Van Audekerke, J., Benveniste, H., Sijbers, J., Wiborg, O., and Van Der Linden, A., 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, pp. 449-457, 2011.
J. Rajan, Jeurissen, B., Verhoye, M., Van Audekerke, J., and Sijbers, J., Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods, Physics in Medicine and Biology, vol. 56, pp. 5221-5234, 2011.PDF icon Download full paper (643.93 KB)
J. Rajan, Verhoye, M., and Sijbers, J., A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood, in SPIE Medical Imaging, 2011, vol. 7962.
S. Van Cauter, Veraart, J., Sijbers, J., Himmelreich, U., Peeters, R. R., Van Gool, S., and Van Hecke, W., Mean Kurtosis: a new potential biomarker for brain tumor grading, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.PDF icon Download abstract (369.6 KB)
A. Van Tongel, Huysmans, T., Bernat, A., Sijbers, J., and Van Glabbeek, F., Mediolateral shape and curvature analysis of the clavicle, 21st Annual Scientific Meeting of the British Elbow and Shoulder Society in Newcastle. 2011.
J. Veraart, Poot, D. H. J., Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging, Magnetic Resonance in Medicine, vol. 65, pp. 138-145, 2011.PDF icon Download paper (387.31 KB)
Z. Mahmood, Thoonen, G., De Witte, V., and Scheunders, P., Multi-source image classification using color attribute profiles, in 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, 2011, pp. 1 - 4.
A. Karami, M.Yazdi,, and Zolghadre, A., Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition, IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, 2011.
R. Heylen and Scheunders, P., Non-linear fully-constrained spectral unmixing, in IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
R. Heylen, Burazerovic, D., and Scheunders, P., Nonlinear spectral unmixing by geodesic simplex volume maximization, IEEE Journal of Selected Topics in Signal Processing, vol. 5, pp. 534-542, 2011.
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Optimal threshold selection for segmentation of dense homogeneous objects in tomographic reconstructions, IEEE Transactions on Medical Imaging, vol. 30, pp. 980-989, 2011.PDF icon Download paper (1.59 MB)
M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., Optimized Workflow for Diffusion Kurtosis Imaging of Newborns, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)
T. Roelandts, Batenburg, K. J., and Sijbers, J., PDART: A Partially Discrete Algorithm for the Reconstruction of Dense Particles, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Potsdam, Germany, 2011, pp. 448-451.PDF icon Download full paper (1.74 MB)
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs), Journal of structural biology, vol. 176, no. 2, pp. 250-253, 2011.PDF icon Download paper (527.21 KB)
J. Veraart, Leergaard, T. B., Antonsen, B. T., Van Hecke, W., Blockx, I., Jeurissen, B., Jiang, Y., Van Der Linden, A., Johnson, A. G., Verhoye, M., and Sijbers, J., Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain, NeuroImage, vol. 58, no. 4, pp. 975-983, 2011.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.

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