Publications

Export 214 results:
Author Type [ Year(Desc)]
Filters: Term is Visionlab and Type is Conference Abstract  [Clear All Filters]
2012
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.
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.
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., “Segmentation of MR Images by k-space distance minimization: a proof of concept”, ESMRMB CONGRESS 2012: 29th Annual Scientific Meeting, vol. 25, no. 1. pp. 63-64, 2012.PDF icon Download abstract (221.41 KB)
D. Lacko, Huysmans, T., Verwulgen, S., Parizel, P. M., Van Hulle, M. M., and Sijbers, J., “Statistical shape modelling in support of user-centred BCI headset design”, BBCI Workshop 2012 on Advances in Neurotechnology. 2012.PDF icon Download abstract (310.9 KB)
2013
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.
H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., “Discrete Tomography in MRI: a proof of concept”, Proc. Intl. Soc. Mag. Reson. Med, vol. 21. p. 2662, 2013.
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.
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. 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.
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., “Recursive calibration of the fiber response function for spherical deconvolution diffusion ODF sharpening”, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Region-Based SIRT algorithm for the reconstrcution of phase bins in dynamic micro-CT”, Bruker Micro-CT User Meeting. 2013.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., “Robust fiber response function estimation for deconvolution based diffusion MRI methods”, International Society for Magnetic Resonance in Medicine, vol. 21. Salt Lake City, Utah, p. 3149, 2013.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., “Robust fiber response function estimation for deconvolution based diffusion MRI methods”, ISMRM Benelux Chapter, vol. 5. Rotterdam, The Netherlands, p. 55, 2013.
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., “Super resolution reconstruction from differently oriented diffusion tensor data sets”, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 3186, 2013.
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., “Super resolution reconstruction from differently oriented diffusion tensor data sets”, 5th meeting of the ISMRM Benelux Chapter. Rotterdam, The Netherlands, 2013.
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., and Sijbers, J., “Super resolution reconstruction of diffusion tensor parameters from multi-oriented diffusion weighted images”, Imaging the brain at different scales: How to integrate multi-scale structural information?. 2013.
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., ““The weighted linear least squares for estimating diffusion (kurtosis) tensors: Revisited”, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.
2014
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Accurate reconstruction of porous samples in CT”, International Conference on Industrial Computed Tomography (ICT). 2014.
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.
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.
V. Van Nieuwenhove, Van Eyndhoven, G., De Beenhouwer, J., and Sijbers, J., “Compensation of affine deformations in fan and cone beam projections”, Micro-CT User Meeting. pp. 187-189, 2014.PDF icon Download abstract (285.55 KB)
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)
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.
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.
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.

Pages