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Conference Abstract
F. Danckaers, Huysmans, T., Rogge, S., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building a statistical shape model of the interior and exterior of the bell pepper, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference, vol. 28-30 November. Vienna, Austria, 2016.
F. Danckaers, Huysmans, T., and Sijbers, J., Building 3D Statistical Shape Models of Vegetables and Fruit, National Symposium for Applied Biological Sciences 2016 (NSABS). 2016.
B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., Brain Tissue Types Resolved Using Spherical Deconvolution of Multi-Shell Diffusion MRI Data, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, p. 973, 2014.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Bootstrap methods for estimating uncertainty in Constrained Spherical Deconvolution fiber orientations, ISMRM, 16th Scientific Meeting and Exhibition. Toronto, Canada, p. 3324, 2008.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: what to include when 5 minutes are available for perfusion imaging by PCASL?, 27th Annual Meeting of ISMRM, Montreal, Canada. 2019.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: should measurement of T1 of blood and labeling efficiency be included and should a single- or multi-PLD protocol be used in a five-minute protocol for PCASL?, 11th Annual Meeting of ISMRM Benelux, January 17th 2019, Leiden, The Netherlands. 2019.
P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., Beyond the consensus: is sacrificing part of the PCASL scan time for measurement of labeling efficiency and T1 of blood beneficial?, University of Michigan international workshop on arterial spin labeling MRI: technical updates and clinical experience, March 9-10 2019, Ann Arbor, USA. 2019.PDF icon Download abstract (1.31 MB)
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.
B. Jeurissen, Sijbers, J., and Tournier, J. - D., Assessing inter-subject variability of white matter response functions used for constrained spherical deconvolution, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2834, 2015.PDF icon Download abstract (780.16 KB)
D. Lacko, Huysmans, T., Claeskens, A., Verwulgen, S., Aerts, P., Sijbers, J., and De Bruyne, G., An Anthropometric Shape Model for the Design of Sports Helmets, European Conference on Protective Clothing (ECPC). 2014.
T. Roine, Jeurissen, B., Leemans, A., Philips, W., and Sijbers, J., Analysis and modeling of isotropic partial volume effects in diffusion MRI, Frontiers in Neuroinformatics, vol. 7. 2013.
B. G. Booth, Keijsers, N. L. W., Huysmans, T., and Sijbers, J., Advancing Analysis Techniques for Plantar Pressure Videos via Open-Access Contributions, IEEE International Symposium on Biomedical Imaging (ISBI'19) . 2019.PDF icon Download abstract (86 KB)
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Accurate reconstruction of porous samples in CT, International Conference on Industrial Computed Tomography (ICT). 2014.
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, 26th Annual Meeting of the ISMRM. Paris, France, 2018.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Absolute CBF quantification in multi-time point ASL: the T1 issue, 10th Annual Meeting of ISMRM Benelux, January 26th 2018, Antwerp, Belgium. 2018.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., A 4D CT reconstruction algorithm for fast liquid flow imaging, Applied Inverse Problems Conference, Helsinki. 2015.
Book Chapter
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.
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.