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Kees Joost Batenburg

Kees Joost Batenburg

D-Index & Metrics

Computer Science

D-Index
34
Citations
6266
World Ranking
12028
National Ranking
225

Overview

Kees Joost Batenburg is affiliated with Leiden University in the Netherlands. Their research primarily focuses on the intersection of medical imaging, advanced X-ray and CT imaging techniques, and biomedical engineering. They have contributed extensively to topics covering medical imaging techniques and applications, advanced electron microscopy techniques, and radiation dose and imaging.

Their scholarly output includes numerous publications in leading venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Imaging
  • Scientific Reports
  • IEEE Transactions on Computational Imaging

Batenburg's main fields of study encompass Medicine and Engineering, with notable work in subfields such as Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their recent papers showcase a range of imaging-related research topics. Select recent publications include:

  • "Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning," 2021, Journal of Dental Research
  • "Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data," 2021, Scientific Reports
  • "Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications," 2021, Journal of Imaging
  • "Explorative Imaging and Its Implementation at the FleX-ray Laboratory," 2020, Journal of Imaging
  • "A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery," 2022, Dentomaxillofacial Radiology

Batenburg has collaborated frequently with a group of scientists, including Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Sophia Bethany Coban, and Felix Lucka.

Their research extensively covers core topics such as:

  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques
  • Radiation Dose and Imaging
  • Advanced Electron Microscopy Techniques and Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Medical Imaging and Analysis

Best Publications

  • 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

  • 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

  • 3D imaging of nanomaterials by discrete tomography.

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

  • Electron tomography based on a total variation minimization reconstruction technique

    B. Goris;W. Van den Broek;K.J. Batenburg;K.J. Batenburg;H. Heidari Mezerji

  • Motion tracking-enhanced MART for tomographic PIV

    Matteo Novara;Kees Joost Batenburg;Fulvio Scarano

  • Iterative Correction of Beam Hardening Artifacts in CT

    G. Van Gompel;K. Van Slambrouck;M. Defrise;K. J. Batenburg

  • Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning.

    H. Wang;J. Minnema;K.J. Batenburg;T. Forouzanfar

  • Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data

    Daniël M. Pelt;Dogˇa Gürsoy;Willem Jan Palenstijn;Jan Sijbers

  • Improving tomographic reconstruction from limited data using Mixed-Scale Dense convolutional neural networks

    Daniël Maria Pelt;Kees Joost Batenburg;James A. Sethian

  • Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks

    Daniel Maria Pelt;Kees Joost Batenburg

  • Advanced reconstruction algorithms for electron tomography : from comparison to combination

    B. Goris;T. Roelandts;K.J. Batenburg;K.J. Batenburg;H. Heidari Mezerji

  • Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization

    K.J. Batenburg;J. Sijbers

  • Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography

    K.J. Batenburg;J. Sijbers

  • An evolutionary algorithm for discrete tomography

    K. J. Batenburg

  • TomoBank: a tomographic data repository for computational x-ray science

    Francesco De Carlo;Doǧa Gürsoy;Daniel J. Ching;K. Joost Batenburg

  • Adaptive thresholding of tomograms by projection distance minimization

    K. J. Batenburg;J. Sijbers

  • The ASTRA Tomography Toolbox

    Willem Jan Palenstijn;K. Joost Batenburg;Jan Sijbers

  • TVR-DART: A More Robust Algorithm for Discrete Tomography From Limited Projection Data With Automated Gray Value Estimation

    Xiaodong Zhuge;Willem Jan Palenstijn;Kees Joost Batenburg

  • Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network

    Jordi Minnema;Maureen van Eijnatten;Maureen van Eijnatten;Allard A Hendriksen;Niels Liberton

  • Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART)

    W. van Aarle;K. J. Batenburg;J. Sijbers

  • Accurate segmentation of dense nanoparticles by partially discrete electron tomography

    T. Roelandts;K.J. Batenburg;K.J. Batenburg;E. Biermans;C. Kübel

Frequent Co-Authors

Jan Sijbers
Jan Sijbers University of Antwerp
Sara Bals
Sara Bals University of Antwerp
G. Van Tendeloo
G. Van Tendeloo University of Antwerp
Pegie Cool
Pegie Cool University of Antwerp
Christian Kübel
Christian Kübel Karlsruhe Institute of Technology
Hiroshi Jinnai
Hiroshi Jinnai Tohoku University
Velimir Radmilovic
Velimir Radmilovic University of Belgrade
Rafal E. Dunin-Borkowski
Rafal E. Dunin-Borkowski Forschungszentrum Jülich
Ute Kaiser
Ute Kaiser University of Ulm
Yuichi Ikuhara
Yuichi Ikuhara University of Tokyo

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