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D-Index & Metrics

Computer Science

D-Index
68
Citations
22130
World Ranking
2058
National Ranking
22

Overview

Jan Sijbers is affiliated with the University of Antwerp in Belgium. Their research is primarily situated within the fields of Medicine and Engineering, with a considerable focus on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering.

Their work spans several specialized subfields, including Radiation, Computer Vision and Pattern Recognition, and Surgery. The main themes of their research cover a range of advanced medical imaging techniques, with particular concentration on Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, and Advanced MRI Techniques and Applications.

Specific topics they have explored include Advanced X-ray Imaging Techniques, Advanced Neuroimaging Techniques and Applications, MRI in cancer diagnosis, and Medical Image Segmentation Techniques.

Jan Sijbers has contributed to multiple recent papers, which include:

  • Harmonization of Brain Diffusion MRI: Concepts and Methods (2020), published in Frontiers in Neuroscience
  • Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning (2020), published in Food Control
  • Macro- and microstructural changes in cosmonauts' brains after long-duration spaceflight (2020), published in Science Advances
  • The effect of prolonged spaceflight on cerebrospinal fluid and perivascular spaces of astronauts and cosmonauts (2022), published in Proceedings of the National Academy of Sciences
  • FleXCT: a flexible X-ray CT scanner with 10 degrees of freedom (2020), published in Optics Express

Frequent co-authors collaborating with Jan Sijbers include:

  • Jan De Beenhouwer
  • Ben Jeurissen
  • Arnold J. den Dekker
  • Jonathan Sanctorum
  • Jens Renders

Their research has been disseminated across several prominent publication venues, including:

  • e-Journal of Nondestructive Testing
  • Optics Express
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Neuroscience
  • Nondestructive Testing And Evaluation

Best Publications

  • Denoising of diffusion MRI using random matrix theory

    Jelle Veraart;Dmitry S. Novikov;Daan Christiaens;Benjamin Ades-aron

  • Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data

    Ben Jeurissen;Jacques-Donald Tournier;Thijs Dhollander;Alan Connelly

  • Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.

    Ben Jeurissen;Alexander Leemans;Jacques Donald Tournier;Derek Kenton Jones

  • ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data

    A. Leemans;B. Jeurissen;J. Sijbers;D. K. Jones

  • Fast and flexible X-ray tomography using the ASTRA toolbox.

    Wim van Aarle;Willem Jan Palenstijn;Jeroen Cant;Eline Janssens

  • 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

  • Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

    Jelle Veraart;Jan Sijbers;Stefan Sunaert;Alexander Leemans

  • Maximum-likelihood estimation of Rician distribution parameters

    J. Sijbers;A.J. den Dekker;P. Scheunders;D. Van Dyck

  • Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution

    Ben Jeurissen;Alexander Leemans;Alexander Leemans;Derek Kenton Jones;Jacques-Donald Tournier

  • Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)

    W.J. Palenstijn;K.J. Batenburg;J. Sijbers

  • DART: A Practical Reconstruction Algorithm for Discrete Tomography

    K. J. Batenburg;J. Sijbers

  • Estimation of the Noise in Magnitude MR Images

    J. Sijbers;A.J. den Dekker;J. Van Audekerke;M. Verhoye

  • Maximum Likelihood Estimation of Signal Amplitude and Noise Variance From MR Data

    J. Sijbers;A.J. den Dekker

  • 3D imaging of nanomaterials by discrete tomography.

    K.J. Batenburg;S. Bals;J. Sijbers;C. Kübel

  • Reduction of ring artefacts in high resolution micro-CT reconstructions

    Jan Sijbers;Andrei Postnov

  • Extraction of Airways From CT (EXACT'09)

    Pechin Lo;Bram van Ginneken;Joseph M. Reinhardt;Tarunashree Yavarna

  • More accurate estimation of diffusion tensor parameters using diffusion Kurtosis imaging.

    Jelle Veraart;Dirk H. J. Poot;Dirk H. J. Poot;Wim Van Hecke;Wim Van Hecke;Ines Blockx

  • Optimal Experimental Design for Diffusion Kurtosis Imaging

    D.H.J. Poot;A.J. den Dekker;E. Achten;M. Verhoye

  • StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images.

    A. De Backer;K.H.W. van den Bos;W. Van den Broek;J. Sijbers

  • Watershed-based segmentation of 3D MR data for volume quantization

    J. Sijbers;P. Scheunders;M. Verhoye;A. Van der Linden

Frequent Co-Authors

Marleen Verhoye
Marleen Verhoye University of Antwerp
Kees Joost Batenburg
Kees Joost Batenburg Leiden University
Annemie Van der Linden
Annemie Van der Linden University of Antwerp
Paul Scheunders
Paul Scheunders University of Antwerp
Steven Laureys
Steven Laureys University of Liège
Sara Bals
Sara Bals University of Antwerp
Wilfried Philips
Wilfried Philips Ghent University
Bart Nicolai
Bart Nicolai KU Leuven

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