Publications

Export 787 results:
Author [ Type(Desc)] Year
Filters: Author is Jan Sijbers  [Clear All Filters]
Conference Abstract
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, International Society for Magnetic Resonance in Medicine (ISMRM), vol. 28. 2020.
B. Shafieizargar, Jeurissen, B., den Dekker, A. J., and Sijbers, J., Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept, ISMRM-Benelux, vol. 12. 2020.
T. Huysmans, Bernat, A., Van Glabbeek, F., Sijbers, J., Gielen, J. L., and Bortier, H., Left-Right and Gender Analysis of The Human Clavicle, A Problem in Developing an Anatomical Plate?, 21th Congress of the European Society for the Surgery of the Shoulder and the Elbow (SECEC - ESSSE) 17-20 September. Brugge, Belgium, p. 101, 2008.PDF icon Full text (41.81 KB)
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography, European Congress of Radiology 2014 (ECR 2014). 2014.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Maximizing precision in PCASL MRI using an optimized sampling strategy, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Barcelona, Spain. 2017.
S. Van Cauter, Veraart, J., Sijbers, J., Himmelreich, U., Peeters, R. R., Van Gool, S., and Van Hecke, W., Mean Kurtosis: a new potential biomarker for brain tumor grading, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.PDF icon Download abstract (369.6 KB)
A. Van Tongel, Huysmans, T., Bernat, A., Sijbers, J., and Van Glabbeek, F., Mediolateral shape and curvature analysis of the clavicle, 21st Annual Scientific Meeting of the British Elbow and Shoulder Society in Newcastle. 2011.
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.
G. Ramos-Llordén and Sijbers, J., Misalignment correction for T1 maps using a maximum likelihood estimator approach, Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 2 Sep - 6 Sep, 2013. 2013.
T. Elberfeld, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images, 4th International Conference on Tomography of Materials & Structures. 2019.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging, ISMRM Chapter Benelux conference proceedings. Utrecht, the Netherlands, p. 10, 2010.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging,, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
J. Renders, Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., Motion compensating X-ray micro-CT of diamonds in a processing stage, 31st International Conference on Diamond and Carbon Materials. 2021.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., A multiresolution approach to the Discrete Algebraic Reconstruction Technique (DART), 2nd International Congress on 3D Materials Science. 2014.PDF icon Download abstract (59.52 KB)PDF icon Download presentation (1.72 MB)
D. Perrone, Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., and Sijbers, J., A Novel Method for Realistic DWI Data Generation, International Society for Magnetic Resonance in Medicine, vol. 22. Milan, Italy, p. 4427, 2014.
G. Ramos-Llordén, den Dekker, A. J., Björk, M., Verhoye, M., and Sijbers, J., NOVIFAST: A fast non-linear least squares method for accurate and precise estimation of T1 from SPGR signals, 24th Annual Meeting of the ISMRM, Singapore. 2016.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., Optimal acquisition settings for simultaneous diffusion kurtosis, free water fraction and T2 estimation, Joint Annual Meeting ISMRM-ESMRMB. 2022.
A. E. Buikema, den Dekker, A. J., and Sijbers, J., Optimal design of a blended diffusion/relaxometry experiment, 36th Annual Scientific Meeting of the ESMRMB. Rotterdam, the Netherlands, 2019.
M. Nicastro, Beirinckx, Q., Bladt, P., Jeurissen, B., Klein, S., Sijbers, J., Poot, D. H. J., and den Dekker, A. J., Optimal design of a T1 super-resolution reconstruction experiment: a simulation study, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020.PDF icon Download abstract (810.88 KB)
J. Morez, Sijbers, J., and Jeurissen, B., Optimal experimental design for multi-tissue spherical deconvolution of diffusion MRI, Proc Intl Soc Mag Reson Med 28. p. 4321, 2020.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., Optimal experimental design for the T2-weighted diffusion kurtosis imaging free water elimination model, ESMRMB 2021 Online 38th Annual Scientific Meeting 7–9 October 2021. Magn Reson Mater Phy, vol. 34. pp. S54-S55, 2021.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Optimal sampling strategy for pseudo-continuous arterial spin labeling MRI, 9th Annual Meeting of ISMRM Benelux, 20th January 2017, Tilburg, The Netherlands. 2017.
M. Naeyaert, Aelterman, J., Van Audekerke, J., Claes, K., Van Der Linden, A., Sijbers, J., and Verhoye, M., Optimization of Compressed Sensing/RARE Combining Acquisition Schemes, European Society for Magnetic Resonance in Medicine and Biology, vol. 25, no. 1. pp. 513-514, 2012.
D. H. J. Poot, den Dekker, A. J., Verhoye, M., Blockx, I., Van Audekerke, J., Van Der Linden, A., and Sijbers, J., Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009.PDF icon Download full paper (624.88 KB)
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study, ISMRM & SMRT Annual Meeting. 2021.

Pages