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Jos B. T. M. Roerdink

Jos B. T. M. Roerdink

D-Index & Metrics

Computer Science

D-Index
42
Citations
8950
World Ranking
8281
National Ranking
136

Overview

Jos B. T. M. Roerdink is affiliated with the University of Groningen in the Netherlands. Their research focuses primarily on computer science, with significant contributions to subfields such as computer vision and pattern recognition, computer graphics and computer-aided design, signal processing, information systems and management, and electrical and electronic engineering.

The scientist has published extensively in areas including computer graphics and visualization techniques, data visualization and analytics, advanced vision and imaging, scientific computing and data management, generative adversarial networks and image synthesis, integrated circuits and semiconductor failure analysis, and force microscopy techniques and applications.

Among recent papers authored or coauthored by Roerdink are:

  • Interactive image manipulation using morphological trees and spline-based skeletons, 2022, Computers & Graphics
  • Stripe noise removal in conductive atomic force microscopy, 2024, Scientific Reports
  • Visual cluster separation using high-dimensional sharpened dimensionality reduction, 2022, Information Visualization
  • SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks, 2022, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
  • Supervised star, galaxy, and QSO classification with sharpened dimensionality reduction, 2024, Astronomy and Astrophysics

Frequent coauthors who have collaborated on multiple projects include Jiří Kosinka, Alexandru Telea, S. C. Trager, Dennis J. Silva, and Ronaldo F. Hashimoto.

Roerdink's work has appeared in several publication venues, notably arXiv (Cornell University), Computers & Graphics, Scientific Reports, Information Visualization, and Astronomy and Astrophysics.

Best Publications

  • The watershed transform: definitions, algorithms and parallelization strategies

    Jos B. T. M. Roerdink;Arnold Meijster

  • A morphological algorithm for improving radio-frequency interference detection

    A. R. Offringa;J. J. van de Gronde;J. B. T. M. Roerdink

  • Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing

    A.M. Wink;J.B.T.M. Roerdink

  • A general algorithm for computing distance transforms in linear time

    Arnold Meijster;Jos B. T. M. Roerdink;Wim H. Hesselink

  • Changes in cortical grey matter density associated with long-standing retinal visual field defects.

    Christine C. Boucard;Christine C. Boucard;Aditya T. Hernowo;Aditya T. Hernowo;Aditya T. Hernowo;R. Paul Maguire;R. Paul Maguire;Nomdo M. Jansonius

  • Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images

    E.R. Urbach;J.B.T.M. Roerdink;M.H.F. Wilkinson

  • The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study

    Monicque M. Lorist;Eniko Bezdan;Michael ten Caat;Mark M. Span

  • A review of wavelet denoising in MRI and ultrasound brain imaging

    Aleksandra Pizurica;Alle M. Wink;Ewout Vansteenkiste;Wilfried Philips

  • Depth-Dependent Halos: Illustrative Rendering of Dense Line Data

    M.H. Everts;H. Bekker;J.B.T.M. Roerdink;T. Isenberg

  • Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation

    M.A. Westenberg;J.B.T.M. Roerdink;M.H.F. Wilkinson

  • CPM: a deformable model for shape recovery and segmentation based on charged particles

    A.C. Jalba;M.H.F. Wilkinson;J.B.T.M. Roerdink

  • Accelerating Wavelet Lifting on Graphics Hardware Using CUDA

    Wladimir J van der Laan;Andrei C Jalba;Jos B T M Roerdink

  • Euclidean Skeletons of Digital Image and Volume Data in Linear Time by the Integer Medial Axis Transform

    W.H. Hesselink;J.B.T.M. Roerdink

  • Validation of parkinsonian disease-related metabolic brain patterns.

    Laura K. Teune;Remco J. Renken;Deborah Mudali;Bauke M. De Jong

  • Shape representation and recognition through morphological curvature scale spaces

    A.C. Jalba;M.H.F. Wilkinson;J.B.T.M. Roerdink

  • A neurophysiologically plausible population code model for feature integration explains visual crowding.

    Ronald G. van den Berg;Jos B. T. M. Roerdink;Frans W. Cornelissen

  • Parkinson's disease-related perfusion and glucose metabolic brain patterns identified with PCASL-MRI and FDG-PET imaging.

    Laura K. Teune;Remco J. Renken;Bauke M. de Jong;Antoon T. Willemsen

  • On the generality of crowding: Visual crowding in size, saturation, and hue compared to orientation

    Ronald van den Berg;Jos B.T.M. Roerdink;Frans W. Cornelissen

  • Mastering The Information Age: Solving Problems with Visual Analytics

    Jarke van Wijk;Tobias Isenberg;Jos Roerdink;Alexandru Telea

  • MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO IMAGE PROCESSING

    Jos Roerdink;G.S.M. Blaauwgeers

  • An Introduction to Digital Image Processing

    J.B.T.M. Roerdink

  • The Watershed Transform

    Jos Roerdink;Arnold Meijster

  • Mathematical Morphology in Image Processing

    Jos Roerdink

Frequent Co-Authors

Natasha M. Maurits
Natasha M. Maurits University of Groningen
Remco J. Renken
Remco J. Renken University Medical Center Groningen
Oscar P. Kuipers
Oscar P. Kuipers University of Groningen
Frans W. Cornelissen
Frans W. Cornelissen University Medical Center Groningen
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Po Yang
Po Yang University of Sheffield
Sacha A. F. T. van Hijum
Sacha A. F. T. van Hijum KPMG (Netherlands)
Horst Bunke
Horst Bunke University of Bern
Alexandru Telea
Alexandru Telea Utrecht University
Lambert Schomaker
Lambert Schomaker University of Groningen

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