Publications

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D. Van Dyck, Bettens, E., Sijbers, J., den Dekker, A. J., van den Bos, A., Op de Beeck, M., Jansen, J., and Zandbergen, H., Resolving atoms: what do we have? what do we want?, in Institute of Physics Conference Series, vol. 153, J. M. Rodenburg, Ed. Cambridge, UK: Institute of Physics Ltd, 1997, pp. 95-100.
J. Sijbers and Van Der Linden, A., Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering, Marcel Dekker, 2003, pp. 1237-1258.
J. S. Jorgensen and Sijbers, J., Just enough physics, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
G. Van Eyndhoven and Sijbers, J., Iterative reconstruction methods in X-ray CT, in Handbook of X-ray Imaging: Physics and Technology, CRC Press, 2018, pp. 693-712.
J. Veraart and Sijbers, J., Diffusion Kurtosis Imaging, in Diffusion Tensor Imaging: a practical handbook, New York: Springer-Verlag, 2016, pp. 407-418.
S. Scataglini, Danckaers, F., Huysmans, T., Sijbers, J., and Andreoni, G., Design smart clothing using digital human models, in DHM and Posturography, Academic Press, 2019, pp. 683-698.
R. Pinho, Tournoy, K. G., and Sijbers, J., Computer-Aided Assessment and Stenting of Tracheal Stenosis, in Computer Aided Diagnosis of Lung Imaging, A. El-Baz, Ed. 2010.PDF icon Download chapter (4.67 MB)
J. Juntu, Schepper, A. D. M., Van Dyck, P., Van Dyck, D., Gielen, J. L., Parizel, P. M., and Sijbers, J., Classification of Soft Tissue Tumors by Machine Learning Algorithms, in Soft Tissue Tumors, InTech, 2011.PDF icon Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 KB)
A. J. den Dekker and Sijbers, J., Advanced Image Processing in Magnetic Resonance Imaging, in Series: Signal Processing and Communications, vol. 27, L. Landini, Ed. Marcel Dekker, 2005, pp. 85-143.
F. Danckaers, Huysmans, T., and Sijbers, J., Adaptable digital human models from 3D body scans, in DHM and Posturography, vol. VI, Academic Press, 2019, pp. 459-470.

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