Jan Sijbers
University of Antwerp
478 Papers
2K Citations
Jan Sijbers is an academic researcher from University of Antwerp. The author has contributed to research in topics: Computer science & Iterative reconstruction. The author has an hindex of 61, co-authored 427 publications. Previous affiliations of Jan Sijbers include King's College London & Katholieke Universiteit Leuven.
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Papers
Denoising of diffusion MRI using random matrix theory
Jelle Veraart,Dmitry S. Novikov,Daan Christiaens,Benjamin Ades-Aron,Jan Sijbers,Els Fieremans +5 more
TL;DR: A post-processing technique for fast denoising of diffusion-weighted MR images is introduced and it is demonstrated that the technique suppresses local signal fluctuations that solely originate from thermal noise rather than from other sources such as anatomical detail.
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Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
TL;DR: The aim of this study is to incorporate support for multi-shell data into the CSD approach as well as to exploit the unique b-value dependencies of the different tissue types to estimate a multi-tissue ODF.
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Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.
TL;DR: More robust estimates of the proportion of affected voxels, the number of fiber orientations within each WM voxel, and the impact on tensor‐derived analyses are provided, using large, high‐quality diffusion‐weighted data sets, with reconstruction parameters optimized specifically for this task.
ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
Alexander Leemans,Ben Jeurissen,Jan Sijbers,Derek K. Jones +3 more
- 01 Jan 2009
TL;DR: The ExploreDTI toolbox as mentioned in this paper is a non-commercial package that combines many of the key diffusion processing tools that have appeared in the recent literature, but which have not necessarily been widely available.
The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography.
Wim van Aarle,Willem Jan Palenstijn,Willem Jan Palenstijn,Jan De Beenhouwer,Thomas Altantzis,Sara Bals,K. Joost Batenburg,K. Joost Batenburg,K. Joost Batenburg,Jan Sijbers +9 more
TL;DR: The ASTRA Toolbox provides an extensive set of fast and flexible building blocks that can be used to develop advanced reconstruction algorithms, effectively removing limitations in the geometrical parameters of the acquisition model and the algorithms used for reconstruction.
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