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2013
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, ISMRM Benelux Chapter, vol. 5. Rotterdam, The Netherlands, p. 55, 2013.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, International Society for Magnetic Resonance in Medicine, vol. 21. Salt Lake City, Utah, p. 3149, 2013.
W. Liao, Pizurica, A., Scheunders, P., Philips, W., and Pi, Y., Semi-supervised local discriminant analysis for feature extraction in hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 184-198, 2013.
R. Heylen, Akhter, M. A., and Scheunders, P., Solving the Hyperspectral Unmixing Problem with Projection Onto Convex Sets, in 21st European Signal Processing Conference (EUSIPCO), September 2013, Marrakech, Morocco, 2013.
B. Bosmans, Huysmans, T., Wirix-Speetjens, R., Verschueren, P., Sijbers, J., Bosmans, J., and Vander Sloten, J., Statistical shape modeling and population analysis of the aortic root of TAVI patients, Journal of Medical Devices, vol. 7, no. 4, 2013.
S. Sekar, Jonckers, E., Verhoye, M., Willems, R., Veraart, J., Van Audekerke, J., Couto, J., Giugliano, M., Wuyts, K., Dedeurwaerdere, S., Sijbers, J., Mackie, C., Ver Donck, L., Steckler, T., and Van Der Linden, A., Subchronic memantine induced concurrent functional disconnectivity and altered ultra-structural tissue integrity in the rodent brain: revealed by multimodal MRI., Psychopharmacology, vol. 227, no. 3, pp. 479-91, 2013.
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., Super resolution reconstruction from differently oriented diffusion tensor data sets, 5th meeting of the ISMRM Benelux Chapter. Rotterdam, The Netherlands, 2013.
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., Super resolution reconstruction from differently oriented diffusion tensor data sets, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 3186, 2013.
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., and Sijbers, J., Super resolution reconstruction of diffusion tensor parameters from multi-oriented diffusion weighted images, Imaging the brain at different scales: How to integrate multi-scale structural information?. 2013.
D. H. J. Poot, Jeurissen, B., Bastiaensen, Y., Veraart, J., Van Hecke, W., Parizel, P. M., and Sijbers, J., Super-Resolution for Multislice Diffusion Tensor Imaging, Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 103–113, 2013.PDF icon Download paper (1.04 MB)
K. Zarei Zefreh, Van Aarle, W., Batenburg, K. J., and Sijbers, J., Super-Resolution of License Plate Images using Algebraic Reconstruction Technique, Journal of Image and Graphics, vol. 1, no. 2, pp. 94 - 98, 2013.PDF icon Download paper (812.84 KB)
T. Nath, Liu, G., Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., Tracking for Quantifying Social Network of Drosophila Melanogaster, in 15th Computer Analysis of Images and Patterns (CAIP), 2013, vol. 8048, pp. 539–545.
R. Heylen, Akhter, M. A., and Scheunders, P., On using projection onto convex sets for solving the hyperspectral unmixing problem, IEEE Geoscience and Remote Sensing Letters, 2013.
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls., NeuroImage, vol. 81, no. 1, pp. 335-346, 2013.PDF icon Download paper (2.89 MB)
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “The weighted linear least squares for estimating diffusion (kurtosis) tensors: Revisited, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.
2012
G. Thoonen, Hufkens, K., Vanden Borre, J., Spanhove, T., and Scheunders, P., Accuracy assessment of contextual classification results for vegetation mapping, International Journal of Applied Earth Observation and Geoinformation, vol. 15, pp. 7 - 15, 2012.
T. Roelandts, Batenburg, K. J., Biermans, E., Kubel, C., Bals, S., and Sijbers, J., Accurate segmentation of dense nanoparticles by partially discrete electron tomography, Ultramicroscopy, vol. 114, pp. 96-105, 2012.PDF icon Download paper (1.71 MB)
J. Blanc-Talon, Philips, W., Popescu, D., Scheunders, P., and Zemcik, P., ACIVS 2012, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 7517. Springer, 2012.
J. Rajan, Van Audekerke, J., Van Der Linden, A., Verhoye, M., and Sijbers, J., An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images, in IEEE International Symposium on Biomedical Imaging (ISBI), 2012.PDF icon Download full paper (307.46 KB)
Z. Mai, Advances in the quality and resolution improvement of Magnetic Resonance images, 2012.
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., Assessing the implications of complex fiber configurations for DTI metrics in real data sets, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3584, 2012.
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Automatic parameter estimation for the Discrete Algebraic Reconstruction Technique (DART), IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4608-4621, 2012.PDF icon Download paper (3.91 MB)
Z. Mahmood, Thoonen, G., and Scheunders, P., Automatic threshold selection for morphological attribute profiles, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 4946-4949.
Y. Zhang, Duijster, A., and Scheunders, P., A Bayesian Restoration Approach for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3453-3462, 2012.
R. Heylen and Scheunders, P., Calculation of geodesic distances in non-linear mixing models: demonstration on the generalized bilinear model, IEEE Geoscience and Remote Sensing letters, vol. 9, no. 4, pp. 644-648, 2012.

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