Search Results - "Sijbers, Jan"

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  1. 1

    Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data by Jeurissen, Ben, Tournier, Jacques-Donald, Dhollander, Thijs, Connelly, Alan, Sijbers, Jan

    Published in NeuroImage (Orlando, Fla.) (01-12-2014)
    “…Constrained spherical deconvolution (CSD) has become one of the most widely used methods to extract white matter (WM) fibre orientation information from…”
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  2. 2

    Denoising of diffusion MRI using random matrix theory by Veraart, Jelle, Novikov, Dmitry S., Christiaens, Daan, Ades-aron, Benjamin, Sijbers, Jan, Fieremans, Els

    Published in NeuroImage (Orlando, Fla.) (15-11-2016)
    “…We introduce and evaluate a post-processing technique for fast denoising of diffusion-weighted MR images. By exploiting the intrinsic redundancy in diffusion…”
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  3. 3

    Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls by Veraart, Jelle, Sijbers, Jan, Sunaert, Stefan, Leemans, Alexander, Jeurissen, Ben

    Published in NeuroImage (Orlando, Fla.) (01-11-2013)
    “…Linear least squares estimators are widely used in diffusion MRI for the estimation of diffusion parameters. Although adding proper weights is necessary to…”
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  4. 4

    The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography by van Aarle, Wim, Palenstijn, Willem Jan, De Beenhouwer, Jan, Altantzis, Thomas, Bals, Sara, Batenburg, K. Joost, Sijbers, Jan

    Published in Ultramicroscopy (01-10-2015)
    “…We present the ASTRA Toolbox as an open platform for 3D image reconstruction in tomography. Most of the software tools that are currently used in electron…”
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  5. 5

    Fast and flexible X-ray tomography using the ASTRA toolbox by van Aarle, Wim, Palenstijn, Willem Jan, Cant, Jeroen, Janssens, Eline, Bleichrodt, Folkert, Dabravolski, Andrei, De Beenhouwer, Jan, Joost Batenburg, K, Sijbers, Jan

    Published in Optics express (31-10-2016)
    “…Object reconstruction from a series of projection images, such as in computed tomography (CT), is a popular tool in many different application fields. Existing…”
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  6. 6

    Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks by Roine, Timo, Jeurissen, Ben, Perrone, Daniele, Aelterman, Jan, Philips, Wilfried, Sijbers, Jan, Leemans, Alexander

    Published in Medical image analysis (01-02-2019)
    “…•Reproducibility of CSD-based structural brain connectomics is generally excellent.•A minimum of one million streamlines are required for excellent…”
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  7. 7

    Gliomas: Diffusion Kurtosis MR Imaging in Grading by VAN CAUTER, Sofie, VERAART, Jelle, SUNAERT, Stefan, SIJBERS, Jan, PEETERS, Ronald R, HIMMELREICH, Uwe, DE KEYZER, Frederik, VAN GOOL, Stefaan W, VAN CALENBERGH, Frank, DE VLEESCHOUWER, Steven, VAN HECKE, Wim

    Published in Radiology (01-05-2012)
    “…To assess the diagnostic accuracy of diffusion kurtosis magnetic resonance imaging parameters in grading gliomas. The institutional review board approved this…”
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  8. 8

    The effect of spaceflight and microgravity on the human brain by Van Ombergen, Angelique, Demertzi, Athena, Tomilovskaya, Elena, Jeurissen, Ben, Sijbers, Jan, Kozlovskaya, Inessa B., Parizel, Paul M., Van de Heyning, Paul H., Sunaert, Stefan, Laureys, Steven, Wuyts, Floris L.

    Published in Journal of neurology (01-10-2017)
    “…Microgravity, confinement, isolation, and immobilization are just some of the features astronauts have to cope with during space missions. Consequently,…”
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  9. 9

    Harmonization of Brain Diffusion MRI: Concepts and Methods by Pinto, Maíra Siqueira, Paolella, Roberto, Billiet, Thibo, Van Dyck, Pieter, Guns, Pieter-Jan, Jeurissen, Ben, Ribbens, Annemie, den Dekker, Arnold J, Sijbers, Jan

    Published in Frontiers in neuroscience (06-05-2020)
    “…MRI diffusion data suffers from significant inter- and intra-site variability, which hinders multi-site and/or longitudinal diffusion studies. This variability…”
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  10. 10

    Constrained maximum likelihood estimation of the diffusion kurtosis tensor using a Rician noise model by Veraart, Jelle, Van Hecke, Wim, Sijbers, Jan

    Published in Magnetic resonance in medicine (01-09-2011)
    “…A computational framework to obtain an accurate quantification of the Gaussian and non‐Gaussian component of water molecules' diffusion through brain tissues…”
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    Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data by Pelt, Daniël M., Gürsoy, Dogˇa, Palenstijn, Willem Jan, Sijbers, Jan, De Carlo, Francesco, Batenburg, Kees Joost

    Published in Journal of synchrotron radiation (01-05-2016)
    “…The processing of tomographic synchrotron data requires advanced and efficient software to be able to produce accurate results in reasonable time. In this…”
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  13. 13

    Unsupervised Retinal Vessel Segmentation Using Combined Filters by Oliveira, Wendeson S, Teixeira, Joyce Vitor, Ren, Tsang Ing, Cavalcanti, George D C, Sijbers, Jan

    Published in PloS one (26-02-2016)
    “…Image segmentation of retinal blood vessels is a process that can help to predict and diagnose cardiovascular related diseases, such as hypertension and…”
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  14. 14
  15. 15

    Measuring Lattice Strain in Three Dimensions through Electron Microscopy by Goris, Bart, De Beenhouwer, Jan, De Backer, Annick, Zanaga, Daniele, Batenburg, K. Joost, Sánchez-Iglesias, Ana, Liz-Marzán, Luis M, Van Aert, Sandra, Bals, Sara, Sijbers, Jan, Van Tendeloo, Gustaaf

    Published in Nano letters (14-10-2015)
    “…The three-dimensional (3D) atomic structure of nanomaterials, including strain, is crucial to understand their properties. Here, we investigate lattice strain…”
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  16. 16

    More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging by Veraart, Jelle, Poot, Dirk H. J., Van Hecke, Wim, Blockx, Ines, Van der Linden, Annemie, Verhoye, Marleen, Sijbers, Jan

    Published in Magnetic resonance in medicine (01-01-2011)
    “…With diffusion tensor imaging, the diffusion of water molecules through brain structures is quantified by parameters, which are estimated assuming…”
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  17. 17

    Joint Deblurring and Denoising of THz Time-Domain Images by Ljubenovic, Marina, Zhuang, Lina, De Beenhouwer, Jan, Sijbers, Jan

    Published in IEEE access (2021)
    “…Terahertz (THz) pulse/time-domain imaging attracted increased interest in recent years mostly due to its ability to extract dielectric properties of sample…”
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  18. 18

    Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling by Beirinckx, Quinten, Bladt, Piet, van der Plas, Merlijn C E, van Osch, Matthias J P, Jeurissen, Ben, den Dekker, Arnold J, Sijbers, Jan

    Published in NeuroImage (Orlando, Fla.) (01-02-2024)
    “…Arterial spin labeling (ASL) is a promising, non-invasive perfusion magnetic resonance imaging technique for quantifying cerebral blood flow (CBF)…”
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  19. 19

    Improved diffusion parameter estimation by incorporating T2 relaxation properties into the DKI-FWE model by Anania, Vincenzo, Collier, Quinten, Veraart, Jelle, Buikema, Annemieke E., Vanhevel, Floris, Billiet, Thibo, Jeurissen, Ben, den Dekker, Arnold J., Sijbers, Jan

    Published in NeuroImage (Orlando, Fla.) (01-08-2022)
    “…•We propose the T2-weighted diffusion kurtosis imaging free water elimination model.•Improved conditioning of the model fitting compared to T2-independent…”
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  20. 20

    A multiresolution approach to discrete tomography using DART by Dabravolski, Andrei, Batenburg, Kees Joost, Sijbers, Jan

    Published in PloS one (05-09-2014)
    “…In discrete tomography, a scanned object is assumed to consist of only a few different materials. This prior knowledge can be effectively exploited by a…”
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