World's Best Scientists 2026 revealed!
Max A. Viergever

Max A. Viergever

Award Badge
Computer Science
Netherlands
2026

D-Index & Metrics

Computer Science

D-Index
115
Citations
70164
World Ranking
186
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Netherlands Leader Award
  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2023 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2007 - IEEE Fellow For leadership and contributions to medical imaging
  • 2002 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biomedical applications of computer vision and pattern recognition, and for service to IAPR.

Overview

Max A. Viergever is affiliated with Utrecht University in the Netherlands. The primary field of research is Medicine, with a focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The scientist's work concentrates on several main topics including:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • MRI in cancer diagnosis
  • Advanced MRI Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced Neuroimaging Techniques and Applications
  • AI in cancer detection

Recent published papers highlight a range of medical imaging and analysis topics:

  • "Explainable artificial intelligence (XAI) in deep learning-based medical image analysis", 2022, Medical Image Analysis
  • "Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols", 2020, Radiology
  • "Radiogenomic Analysis of Breast Cancer by Linking MRI Phenotypes with Tumor Gene Expression", 2020, Radiology
  • "MRI-based synthetic CT shows equivalence to conventional CT for the morphological assessment of the hip joint", 2021, Journal of Orthopaedic Research®
  • "Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT", 2020, Medical Physics

Max A. Viergever frequently collaborates with a group of co-authors including:

  • Kenneth G. A. Gilhuijs
  • Ivana Išgum
  • Hugo J. Kuijf
  • Peter R. Seevinck
  • Alexander Leemans

The researcher has contributed multiple publications to key venues such as:

  • Radiology
  • Medical Image Analysis
  • Journal of Orthopaedic Research®
  • Medical Physics
  • Investigative Radiology

Recognition within the professional community includes prestigious awards such as:

  • IEEE Fellow (2007) for leadership and contributions to medical imaging
  • Fellow of the International Association for Pattern Recognition (IAPR) (2002) for contributions to biomedical applications of computer vision and pattern recognition, and for service to IAPR

Best Publications

  • A survey of medical image registration.

    J.B.Antoine Maintz;Max A. Viergever

  • Muliscale Vessel Enhancement Filtering

    Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever

  • Ridge-based vessel segmentation in color images of the retina

    J. Staal;M.D. Abramoff;M. Niemeijer;M.A. Viergever

  • elastix : A Toolbox for Intensity-Based Medical Image Registration

    S. Klein;M. Staring;K. Murphy;M.A. Viergever

  • Mutual-information-based registration of medical images: a survey

    J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever

  • Efficient and reliable schemes for nonlinear diffusion filtering

    J. Weickert;B.M.T.H. Romeny;M.A. Viergever

  • Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

    West J;Fitzpatrick Jm;Wang My;Dawant Bm

  • Medical image matching-a review with classification

    P.A. van den Elsen;E.-J.D. Pol;M.A. Viergever

  • Image registration by maximization of combined mutual information and gradient information

    J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever

  • Generative Adversarial Networks for Noise Reduction in Low-Dose CT

    Jelmer M. Wolterink;Tim Leiner;Max A. Viergever;Ivana Isgum

  • Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

    Pim Moeskops;Max A. Viergever;Adrienne M. Mendrik;Linda S. de Vries

  • Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.

    Bas H. M. van der Velden;Hugo J. Kuijf;Kenneth G. A. Gilhuijs;Max A. Viergever

  • Medical Image Computing and Computer-Assisted Intervention -- Miccai 2010

    Tianzi Jiang;Nassir Navab;Josien P. W. Pluim;Max A. Viergever

  • Three-dimensional modeling for functional analysis of cardiac images, a review

    A.F. Frangi;W.J. Niessen;M.A. Viergever

  • A deep learning framework for unsupervised affine and deformable image registration

    Bob D. de Vos;Floris F. Berendsen;Max A. Viergever;Hessam Sokooti

  • Breast Cancer Histopathology Image Analysis: A Review

    Mitko Veta;Josien P. W. Pluim;Paul J. van Diest;Max A. Viergever

  • Active shape model segmentation with optimal features

    B. van Ginneken;A.F. Frangi;J.J. Staal;B.M. ter Haar Romeny

  • Computer-aided diagnosis in chest radiography: a survey

    B. Van Ginneken;B.M. Ter Haar Romeny;M.A. Viergever

  • A discrete dynamic contour model

    S. Lobregt;M.A. Viergever

  • The first taste is always with the eyes: A meta-analysis on the neural correlates of processing visual food cues

    L.N. van der Laan;D.T.D. de Ridder;M.A. Viergever;P.A.M. Smeets;P.A.M. Smeets

  • Scale and the differential structure of images

    Luc M. J. Florack;Bart M. ter Haar Romeny;Jan J. Koenderink;Max A. Viergever

Frequent Co-Authors

Ivana Išgum
Ivana Išgum University of Amsterdam
Wiro J. Niessen
Wiro J. Niessen Erasmus University Rotterdam
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Paul A.M. Smeets
Paul A.M. Smeets Wageningen University & Research
Bart M. ter Haar Romeny
Bart M. ter Haar Romeny Eindhoven University of Technology
Bram van Ginneken
Bram van Ginneken Radboud University
Freek J. Beekman
Freek J. Beekman Delft University of Technology
Jan J. Koenderink
Jan J. Koenderink Delft University of Technology
Erik Meijering
Erik Meijering University of New South Wales
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester

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