Publications

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Conference Abstract
Q. Collier, Veraart, J., and Sijbers, J., Iterative reweighted linear least squares for the accurate, fast, and robust estimation of diffusion magnetic resonance parameters, ISMRM workshop on diffusion. 2013.PDF icon abstract_ismrm_quintencollier_120813.pdf (329.38 KB)
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.
G. Van Gompel, Batenburg, K. J., Defrise, M., and Sijbers, J., An iterative post-reconstruction method for beam hardening reduction without prior information, Liege Image Days 2008: Medical Imaging. 2008.PDF icon Download abstract (42 KB)PDF icon Download poster (262.82 KB)
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Sixth Annual Meeting of the Benelux ISMRM Chapter. 2014.
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., Investigating the relationship between shape and flow in the human nose using a statistical shape model, 6th European Conference on Computational Mechanics (ECCM 6) - 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11 – 15 June 2018, Glasgow, UK. 2018.PDF icon Download abstract (90.58 KB)
B. Goris, De Beenhouwer, J., De Backer, A., Zanaga, D., Batenburg, K. J., Sánchez-Iglesias, A., Liz-Marzán, L. M., Van Aert, S., Sijbers, J., Van Tendeloo, G., and Bals, S., Investigating lattice strain in Au nanodecahedrons, European Microscopy Congress 2016. 2016.
C. Van Dijck, Wirix-Speetjens, R., Huysmans, T., Danckaers, F., Sijbers, J., and Vander Sloten, J., Influence of Correspondence Method on Statistical Model Based Shape Prediction, Symposium on Statistical Shape Models and Applications, Delémont, Switzerland. 2014.
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.
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., Improving fiber orientation estimation in constrained spherical deconvolution under non-white matter partial volume effects, Proceedings of the Joint Annual Meeting ISMRM–ESMRMB. p. 4492, 2014.PDF icon 4492.pdf (574.06 KB)
V. Anania, Billiet, T., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Improved voxel-wise quantification of diffusion and kurtosis metrics in the presence of noise and intensity outliers, 12th Annual Meeting ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.
J. Veraart, Blockx, I., Van Hecke, W., Verhoye, M., Van Der Linden, A., and Sijbers, J., Improved non rigid coregistration of diffusion kurtosis images by incorporating diffusion kurtosis tensor information, Proceedings of the European Society for Magnetic Resonance in Medicine and Biology. Antalya, Turkey, p. 36, 2009.
W. Pintjens, Poot, D. H. J., Verhoye, M., Van Der Linden, A., and Sijbers, J., Improved EPI Correction: Upgrading An Ultrafast Imaging Technique, Liege Image Days 2008: Medical Imaging. 2008.
B. Jeurissen, Leemans, A., and Sijbers, J., How to make sure you are using the correct gradient orientations in your diffusion MRI study?, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 2047, 2013.
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.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., HARDI-based methods for fiber orientation estimation, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3585, 2012.
W. Van Hecke, Leemans, A., De Backer, S., Vandervliet, E., Sijbers, J., and Parizel, P. M., A Ground Truth Analysis of the Preservation of Diffusion Tensor Information in a Population Specific Atlas, International Society for Magnetic Resonance in Medicine - 16th Scientific Meeting. Toronto, Canada, 2008.
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)
D. Perrone, Aelterman, J., Kudzinava, M., Sijbers, J., Pizurica, A., Philips, W., and Leemans, A., Gibbs artifact suppression for DT-MRI data, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.
T. Huysmans, Bernat, A., Pinho, R., Sijbers, J., Van Glabbeek, F., Parizel, P. M., and Bortier, H., A Framework for Morphometric Analysis of Long Bones: Application to the Human Clavicle, Liege Image Days 2008: Medical Imaging. 2008.PDF icon Full text (426.68 KB)
J. De Beenhouwer, Palenstijn, W. J., Bleichrodt, F., Batenburg, K. J., and Sijbers, J., A framework for markerless alignment with full 3D flexibility, European Microscopy Conference. 2012.PDF icon Download abstract (117.9 KB)
A. Van Tongel, De Wilde, L., De Smet, K., Decock, T., Van Herzele, E., Van Den Broecke, R., Shimamura, Y., Sijbers, J., and Huysmans, T., Fracture Patterns In Midshaft Clavicle Fracture, the 27th Congress of the European Society for Surgery of the Shoulder and the Elbow (SECEC-ESSSE), Brussels. 2017.
B. Jeurissen, Leemans, A., Fieremans, E., and Sijbers, J., Fiber Tractography on a Crossing Fiber Phantom using Constrained Spherical Deconvolution MRI, Liège Image Days. Liège, Belgium, 2008.
S. van der Maar, Batenburg, K. J., Huysmans, T., and Sijbers, J., FASTRA: Fast Tomographic Reconstructions Using an Eight GPU Desktop Super Computer, NVISION08. San Jose, California, USA, 2008.
V. Van Nieuwenhove, De Beenhouwer, J., and Sijbers, J., A fast 4D CT reconstruction algorithm for affine deforming objects, Applied inverse problems conference. 2015.
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., An extended NLML method for denoising non-central chi distributed data - application to parallel MRI, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.

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