Publications

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2015
E. Janssens, Pelt, D., De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Fast Neural Network Based X-Ray Tomography of Fruit on a Conveyor Belt”, Chemical Engineering Transactions, vol. 44, pp. 181-186, 2015.
L. Plantagie, Van Aarle, W., Batenburg, K. J., and Sijbers, J., “Filtered backprojection using algebraic filters; Application to biomedical micro-CT data”, in International Symposium on Biomedical Imaging (ISBI), 2015, pp. 1596-1599.
A. Van Ombergen, Jeurissen, B., Vanhevel, F., Loeckx, D., Dousset, V., Parizel, P. M., and Wuyts, F. L., “A first insight in regional brain changes after parabolic flight: a voxel-based morphometry study”, Proc. Intl. Soc. Mag. Reson. Med. 23. p. 1258, 2015.
N. Roberto Vigano, “Full-field X-ray orientation imaging using convex optimization and a discrete representation of six-dimensional position - orientation space”, 2015.
M. A. Akhter, Heylen, R., and Scheunders, P., “A geometric matched filter for hyperspectral target detection and partial unmixing”, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 661-665, 2015.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., “A geometric unmixing concept for the selection of optimal binary endmember combinations”, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
J. Veraart, Knoll, F., Sijbers, J., Fieremans, E., and Novikov, D. S., “Gibbs ringing removal in diffusion MRI using second order total variation minimization”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2809, 2015.PDF icon Download abstract (1.1 MB)
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., “High resolution diffusion tensor imaging in a clinically feasible scan time”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “High resolution T1 estimation from multiple low resolution magnetic resonance images”, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.
F. Calamante, Jeurissen, B., Smith, R. E., Tournier, J. - D., and Connelly, A., “Human In Vivo Myeloarchitecture Using Whole-Brain Diffusion MRI”, ISMRM 23th Annual Meeting. Toronto, Ontario, Canada, p. 1679, 2015.
M. A. Akhter, Heylen, R., and Scheunders, P., “Hyperspectral unmixing with projection onto convex sets using distance geometry”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5059-5062.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Leemans, A., and Sijbers, J., “Informed constrained spherical deconvolution (iCSD)”, Medical Image Analysis, vol. 24, no. 1, pp. 269–281, 2015.PDF icon Download accepted manuscript (987.95 KB)
S. De Santis, Jeurissen, B., Jones, D. K., Assaf, Y., and Roebroek, A., “Inversion Recovery DTI In Vivo at 7T in the Human Brain”, ISMRM 23th Annual Meeting. Toronto, Ontario, Canada, p. 567, 2015.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Information-based methods for neuroimaging: analyzing structure, function and dynamics, p. 112, 2015.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., “An iterative CT reconstruction algorithm for fast fluid flow imaging”, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4446-4458, 2015.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., and Sijbers, J., “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.
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters”, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
A. Karami, Heylen, R., and Scheunders, P., “Lossy Compression of hyperspectral images optimizing spectral unmixing”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5031-034.
A. Karami, R.Heylen,, and Scheunders, P., “Lossy Compression of Hyperspectral Images Optimizing Spectral Unmixing”, in IGARSS 2015, Milan, Italy, 2015.
B. Goris, De Beenhouwer, J., De Backer, A., Zanaga, D., Batenburg, K. J., Sánchez-Iglesias, A., Liz-Marzán, L. M., Van Aert, S., Bals, S., Sijbers, J., and Van Tendeloo, G., “Measuring Lattice Strain in Three Dimensions through Electron Microscopy”, Nano Letters, vol. 15, no. 10, pp. 6996–7001, 2015.
G. Van Eyndhoven, “Model-based iterative reconstruction algorithms for computed tomography”, 2015.PDF icon Download thesis (4.93 MB)
J. Cant, Palenstijn, W. J., Behiels, G., and Sijbers, J., “Modeling blurring effects due to continuous gantry rotation: application to region of interest tomography”, Medical Physics, vol. 42, no. 5, pp. 2709-2717, 2015.
S. Cools, Ghysels, P., Van Aarle, W., Sijbers, J., and Vanroose, W., “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems”, Journal of Computational and Applied Mathematics, vol. 238, no. 1, pp. 1-16, 2015.
E. Janssens, De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt”, in IEEE International Conference on Image Processing, 2015, pp. 917-921.
R. Heylen, Scheunders, P., Gader, P., and Rangarajan, A., “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.

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