Jan Sijbers
Jan Sijbers
Full professor, University of Antwerp
Verified email at uantwerpen.be - Homepage
TitleCited byYear
ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
A Leemans, B Jeurissen, J Sijbers, DK Jones
Proc Intl Soc Mag Reson Med 17, 3537, 2009
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging
B Jeurissen, A Leemans, JD Tournier, DK Jones, J Sijbers
Human brain mapping 34 (11), 2747-2766, 2013
Maximum-likelihood estimation of Rician distribution parameters
J Sijbers, AJ den Dekker, P Scheunders, D Van Dyck
IEEE Transactions on Medical Imaging 17 (3), 357-361, 1998
Estimation of the noise in magnitude MR images
J Sijbers, AJ Den Dekker, J Van Audekerke, M Verhoye, D Van Dyck
Magnetic Resonance Imaging 16 (1), 87-90, 1998
Maximum likelihood estimation of signal amplitude and noise variance from MR data
J Sijbers, AJ Den Dekker
Magnetic Resonance in Medicine: An Official Journal of the International …, 2004
The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography
W van Aarle, WJ Palenstijn, J De Beenhouwer, T Altantzis, S Bals, ...
Ultramicroscopy 157, 35-47, 2015
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution
B Jeurissen, A Leemans, DK Jones, JD Tournier, J Sijbers
Human brain mapping 32 (3), 461-479, 2011
3D imaging of nanomaterials by discrete tomography
KJ Batenburg, S Bals, J Sijbers, C Kübel, PA Midgley, JC Hernandez, ...
Ultramicroscopy 109 (6), 730-740, 2009
DART: a practical reconstruction algorithm for discrete tomography
KJ Batenburg, J Sijbers
IEEE Transactions on Image Processing 20 (9), 2542-2553, 2011
Reduction of ring artefacts in high resolution micro-CT reconstructions
J Sijbers, A Postnov
Physics in Medicine & Biology 49 (14), N247, 2004
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
B Jeurissen, JD Tournier, T Dhollander, A Connelly, J Sijbers
NeuroImage 103, 411-426, 2014
Gliomas: diffusion kurtosis MR imaging in grading
S Van Cauter, J Veraart, J Sijbers, RR Peeters, U Himmelreich, ...
Radiology 263 (2), 492-501, 2012
L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns
E Fransen, R d'Hooge, G Van Camp, M Verhoye, J Sijbers, E Reyniers, ...
Human molecular genetics 7 (6), 999-1009, 1998
Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)
WJ Palenstijn, KJ Batenburg, J Sijbers
Journal of structural biology 176 (2), 250-253, 2011
Watershed-based segmentation of 3D MR data for volume quantization
J Sijbers, P Scheunders, M Verhoye, A Van der Linden, D Van Dyck, ...
Magnetic Resonance Imaging 15 (6), 679-688, 1997
Weighted linear least squares estimation of diffusion MRI parameters: strengths, limitations, and pitfalls
J Veraart, J Sijbers, S Sunaert, A Leemans, B Jeurissen
NeuroImage 81, 335-346, 2013
Fast and flexible X-ray tomography using the ASTRA toolbox
W van Aarle, WJ Palenstijn, J Cant, E Janssens, F Bleichrodt, ...
Optics express 24 (22), 25129-25147, 2016
Extraction of airways from CT (EXACT'09)
P Lo, B Van Ginneken, JM Reinhardt, T Yavarna, PA De Jong, B Irving, ...
IEEE Transactions on Medical Imaging 31 (11), 2093-2107, 2012
Optimal experimental design for diffusion kurtosis imaging
DHJ Poot, J Arnold, E Achten, M Verhoye, J Sijbers
IEEE transactions on medical imaging 29 (3), 819-829, 2010
Automatic estimation of the noise variance from the histogram of a magnetic resonance image
J Sijbers, D Poot, AJ den Dekker, W Pintjens
Physics in Medicine & Biology 52 (5), 1335, 2007
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