Publications

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2016
F. Bleichrodt, van Leeuwen, T., Palenstijn, W. J., Van Aarle, W., Sijbers, J., and Batenburg, K. J., Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators, Numerical Algorithms, vol. 71, pp. 673-697, 2016.
W. Van Aarle, Palenstijn, W. J., Cant, J., Janssens, E., Bleichrodt, F., Dabravolski, A., De Beenhouwer, J., Batenburg, K. J., and Sijbers, J., Fast and Flexible X-ray Tomography Using the ASTRA Toolbox, Optics Express, vol. 24, pp. 25129-25147, 2016.PDF icon Download paper (8.34 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 Reconstruction from Simultaneous Multi-Slice Acquisitions in a Clinically Feasible Scan Time, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 2, 2016.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., In vivo high resolution diffusion tensor imaging in a clinically acceptable scan time by combining super resolution reconstruction with simultaneous multi-slice acquisition, ISMRM Benelux Chapter, vol. 8. 2016.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
W. Liao, M Mura, D., Huang, X., Chanussot, J., Gautama, S., Scheunders, P., and Philips, W., Lidar information extraction by attribute filters with partial reconstruction, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 1484-1487, Beijing, July 10-15 , 2016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., de Nijs, B., van Huis, M. A., Sánchez-Iglesias, A., Liz-Marzán, L. M., van Blaaderen, A., Batenburg, K. J., Bals, S., and Van Tendeloo, G., Quantitative 3D analysis of huge nanoparticle assemblies., Nanoscale, vol. 8, no. 1, pp. 292-9, 2016.
G. Van Steenkiste, Super-resolution estimation of quantitative MRI parameters, University of Antwerp, 2016.PDF icon Download PhD thesis (7.56 MB)
G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.
G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.
2017
J. Blanc-Talon, Penne, R., Philips, W., Popescu, D., and Scheunders, P., ACIVS 2017, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 10617. 2017.
J. Blanc-Talon, Penne, R., Philips, W., Popescu, D., and Scheunders, P., ACIVS 2017, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 10617. 2017.
J. Blanc-Talon, Penne, R., Philips, W., Popescu, D., and Scheunders, P., ACIVS 2017, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 10617. 2017.
A. Van Ombergen, Heine, L., Jillings, S., Roberts, E., Jeurissen, B., Van Rompaey, V., Mucci, V., Vanhecke, S., Sijbers, J., Vanhevel, F., Sunaert, S., Bahri, M. Ali, Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., Altered functional brain connectivity in patients with visually induced dizziness, NeuroImage: Clinical, vol. 14, pp. 538–545, 2017.
J. Cant, Snoeckx, A., Behiels, G., Parizel, P. M., and Sijbers, J., Can portable tomosynthesis improve the diagnostic value of bedside chest X-ray in the intensive care unit? A proof of concept study, European Radiology Experimental, vol. 1, no. 20, pp. 1-7, 2017.
P. Van Dyck, De Smet, E., Froeling, M., Verdonk, P., Torfs, M., Pullens, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 377, 2017.
P. Van Dyck, Froeling, M., De Smet, E., Pullens, P., Torfs, M., Verdonck, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Journal of Magnetic Resonance Imaging, vol. 46, no. 5, pp. 1423–1432, 2017.
P. Van Dyck, De Smet, E., Froeling, M., Verdonk, P., Torfs, M., Pullens, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 377, 2017.
P. Van Dyck, Froeling, M., De Smet, E., Pullens, P., Torfs, M., Verdonck, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Journal of Magnetic Resonance Imaging, vol. 46, no. 5, pp. 1423–1432, 2017.
A. Van Ombergen, Demertzi, A., Tomilovskaya, E., Jeurissen, B., Sijbers, J., Kozlovskaya, I. B., Parizel, P. M., Van de Heyning, P. H., Sunaert, S., Laureys, S. S. L., and Wuyts, F. L., The effect of spaceflight and microgravity on the human brain, Journal of Neurology, vol. 246, no. 1, pp. 18-22, 2017.
R. Heylen, Parente, M., and Scheunders, P., Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon, in LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, 2017, vol. 10169.
R. Heylen, Parente, M., and Scheunders, P., Estimation of the number of endmembers in a hyperspectral image via the hubness phenomenon, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, pp. 2191-2200, 2017.

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