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2015
Van Aarle, W., W J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, "The ASTRA Toolbox: a platform for advanced algorithm development in electron tomography", Ultramicroscopy, vol. 157, pp. 35–47, 2015. PDF icon Download paper (3.47 MB)
Danckaers, F., T. Huysmans, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, "Building a Statistical Shape Model of the Apple from Corresponded Surfaces", Chemical Engineering Transactions, vol. 44, Milano, Italy, pp. 49-54, 2015. PDF icon Download paper (696.94 KB)
Van Steenkiste, G., J. Hamaide, B. Jeurissen, D. H. J. Poot, J. Van Audekerke, J. Sijbers, and M. Verhoye, "Combination of super-resolution reconstruction diffusion tensor imaging and track density imaging reveals song control system connectivity in zebra finches", ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23, pp. 2861, 2015. PDF icon Download abstract (108.98 KB)
Collier, Q., J. Veraart, A J. den Dekker, B. Jeurissen, and J. Sijbers, "CSF partial volume modeling in diffusion kurtosis imaging: a comparative parameter estimation study", Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress, 11/2015.
Struyfs, H., W. Van Hecke, J. Veraart, J. Sijbers, S. Slaets, M. De Belder, L. Wuyts, B. Peters, K. Sleegers, C. Robberecht, et al., "Diffusion Kurtosis Imaging: a possible MRI biomarker for AD diagnosis?", Journal of Alzheimer’s Disease, vol. 48, no. 4, pp. 937-948, 2015. PDF icon Download paper (374.95 KB)
Guglielmetti, C., J. Veraart, E. Roelant, Z. Mai, J. Daans, J. Van Audekerke, J. Praet, P. Ponsaerts, J. Sijbers, A. Van Der Linden, et al., "Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination", ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23, no. 4332, 2015. PDF icon Download abstract (866.27 KB)
Van Nieuwenhove, V., J. De Beenhouwer, F. De Carlo, L. Mancini, F. Marone, and J. Sijbers, "Dynamic intensity normalization using eigen flat fields in X-ray imaging", Optics Express, vol. 23, issue 21, pp. 27975-27989, 2015. Package icon Download Matlab code (2.92 MB)PDF icon Download paper (1.68 MB)
Danckaers, F., T. Huysmans, D. Lacko, and J. Sijbers, "Evaluation of 3D Body Shape Predictions Based on Features", 6th International Conference on 3D Body Scanning Technologies, Lugano, Switserland, pp. 258-265, 2015. PDF icon 27danckaers.pdf (2.55 MB)
Lacko, D., T. Huysmans, P. M. Parizel, G. De Bruyne, S. Verwulgen, M. M. Van Hulle, and J. Sijbers, "Evaluation of an anthropometric shape model of the human scalp", Applied Ergonomics, vol. 48, pp. 70-85, 2015. PDF icon Paper (3.63 MB)File Shape matrix (cfr section 2.1.1) (36.93 MB)File Measurement matrix (cfr section 2.2.1) (20.05 KB)File Labeled measurements (cfr section 2.2.1) (47.63 KB)
Van Nieuwenhove, V., J. De Beenhouwer, and J. Sijbers, "A fast 4D CT reconstruction algorithm for affine deforming objects", Applied inverse problems conference, Helsinki, 2015.
Van der Jeught, S., J. Sijbers, and J. J. J. Dirckx, "Fast Fourier-based phase unwrapping on the graphics processing unit in real-time imaging applications", Journal of Imaging, vol. 1, pp. 31-44, 2015. PDF icon Download paper (1.35 MB)
Janssens, E., D. Pelt, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, "Fast Neural Network Based X-Ray Tomography of Fruit on a Conveyor Belt", Chemical Engineering Transactions, vol. 44, Milano, Italy, pp. 181-186, 2015.
Plantagie, L., W. Van Aarle, K. J. Batenburg, and J. Sijbers, "Filtered backprojection using algebraic filters; Application to biomedical micro-CT data", International Symposium on Biomedical Imaging (ISBI), pp. 1596-1599, 2015.
Veraart, J., F. Knoll, J. Sijbers, E. Fieremans, and D. S. Novikov, "Gibbs ringing removal in diffusion MRI using second order total variation minimization", ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23, pp. 2809, 2015. PDF icon Download abstract (1.1 MB)
Van Steenkiste, G., B. Jeurissen, S. Baete, A J. den Dekker, D. H. J. Poot, F. Boada, and J. Sijbers, "High resolution diffusion tensor imaging in a clinically feasible scan time", Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress., 2015.
Van Steenkiste, G., D. H. J. Poot, B. Jeurissen, A J. den Dekker, and J. Sijbers, "High resolution T1 estimation from multiple low resolution magnetic resonance images", IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, vol. 12, pp. 1036-1039, 2015.
Roine, T., B. Jeurissen, D. Perrone, J. Aelterman, W. Philips, A. Leemans, and J. Sijbers, "Informed constrained spherical deconvolution (iCSD)", Medical Image Analysis, vol. 24, issue 1, pp. 269–281, 2015. PDF icon Download accepted manuscript (987.95 KB)
Roine, T., B. Jeurissen, D. Perrone, J. Aelterman, A. Leemans, W. Philips, and J. Sijbers, "Isotropic non-white matter partial volume effects in constrained spherical deconvolution", Information-based methods for neuroimaging: analyzing structure, function and dynamics: Frontiers Media SA, pp. 112, 2015.
Van Eyndhoven, G., K. J. Batenburg, D. Kazantsev, V. Van Nieuwenhove, P. D. Lee, K. J. Dobson, and J. Sijbers, "An iterative CT reconstruction algorithm for fast fluid flow imaging", IEEE Transactions on Image Processing, vol. 24, issue 11, pp. 4446-4458, 2015.
Van Eyndhoven, G., K. J. Batenburg, D. Kazantsev, and J. Sijbers, "An iterative prior knowledge based reconstruction algorithm for increased temporal/spatial resolution in the CT imaging of fluid flow through solid matter", Interpore 2015, 2015.
Collier, Q., J. Veraart, B. Jeurissen, A J. den Dekker, and J. Sijbers, "Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters", Magnetic Resonance in Medicine, vol. 73, issue 6, pp. 2174–2184, 2015.
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 Eyndhoven, G., "Model-based iterative reconstruction algorithms for computed tomography", Department of Physics, vol. PhD in Sciences, 12/2015. PDF icon Download thesis (4.93 MB)
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.
Cools, S., P. Ghysels, W. Van Aarle, J. Sijbers, and W. Vanroose, "A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems", Journal of Computational and Applied Mathematics, vol. 238, issue 1, pp. 1-16, 2015.

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