H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 98 Citations 52,957 431 World Ranking 153 National Ranking 1

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Radiology

His primary areas of study are Artificial intelligence, Computer vision, Segmentation, Image processing and Image registration. His research integrates issues of Tomography and Pattern recognition in his study of Artificial intelligence. His Computer vision research incorporates elements of Algorithm, Magnetic resonance imaging and Convolutional neural network.

His study looks at the intersection of Segmentation and topics like Atlas with Image fusion. His study in Image registration is interdisciplinary in nature, drawing from both Stochastic gradient descent, Data mining, Matching, Mutual information and Medical physics. Max A. Viergever has included themes like Information retrieval, Robustness and Computed tomography in his Medical imaging study.

His most cited work include:

  • A survey of medical image registration. (3008 citations)
  • Muliscale Vessel Enhancement Filtering (2736 citations)
  • Mutual-information-based registration of medical images: a survey (2527 citations)

What are the main themes of his work throughout his whole career to date?

Max A. Viergever focuses on Artificial intelligence, Computer vision, Segmentation, Radiology and Nuclear medicine. His Artificial intelligence study often links to related topics such as Pattern recognition. The study incorporates disciplines such as Visualization and Algorithm in addition to Computer vision.

His study involves Image segmentation and Scale-space segmentation, a branch of Segmentation. His research in Magnetic resonance imaging, Radiography, Medical imaging and Angiography are components of Radiology. His Imaging phantom study combines topics in areas such as Image quality and Biomedical engineering.

He most often published in these fields:

  • Artificial intelligence (36.06%)
  • Computer vision (27.51%)
  • Segmentation (16.98%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (36.06%)
  • Nuclear medicine (13.75%)
  • Convolutional neural network (5.33%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Nuclear medicine, Convolutional neural network, Radiology and Segmentation. His Artificial intelligence research incorporates themes from White matter, Diffusion MRI, Computer vision and Pattern recognition. His Diffusion MRI study incorporates themes from Algorithm and Human Connectome Project.

Max A. Viergever interconnects Radiation treatment planning and Radiography in the investigation of issues within Nuclear medicine. His Convolutional neural network research is multidisciplinary, incorporating perspectives in Autoencoder, Ascending aorta, Minimum bounding box, Angiography and Voxel. His work is dedicated to discovering how Segmentation, Coronal plane are connected with Sagittal plane and other disciplines.

Between 2014 and 2021, his most popular works were:

  • Automatic Segmentation of MR Brain Images With a Convolutional Neural Network (477 citations)
  • Generative Adversarial Networks for Noise Reduction in Low-Dose CT (380 citations)
  • Assessment of algorithms for mitosis detection in breast cancer histopathology images (268 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Artificial intelligence
  • Radiology

Max A. Viergever mainly investigates Artificial intelligence, Convolutional neural network, Radiology, Deep learning and Segmentation. His research in Artificial intelligence intersects with topics in Neuroimaging, Computer vision and Pattern recognition. His Image registration and Field of view study, which is part of a larger body of work in Computer vision, is frequently linked to Nuclear imaging, Intervention and Process, bridging the gap between disciplines.

His studies in Convolutional neural network integrate themes in fields like Sagittal plane, Minimum bounding box, Coronal plane, Angiography and Voxel. Max A. Viergever combines subjects such as Supervised learning, Neuroradiology and Nuclear medicine with his study of Radiology. His studies deal with areas such as Heart disease and Blood pool as well as Segmentation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A survey of medical image registration.

J.B.Antoine Maintz;Max A. Viergever.
Medical Image Analysis (1998)

4673 Citations

Muliscale Vessel Enhancement Filtering

Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever.
medical image computing and computer assisted intervention (1998)

4035 Citations

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

J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever.
IEEE Transactions on Medical Imaging (2003)

3621 Citations

Ridge-based vessel segmentation in color images of the retina

J. Staal;M.D. Abramoff;M. Niemeijer;M.A. Viergever.
IEEE Transactions on Medical Imaging (2004)

2786 Citations

elastix : A Toolbox for Intensity-Based Medical Image Registration

S. Klein;M. Staring;K. Murphy;M.A. Viergever.
IEEE Transactions on Medical Imaging (2010)

2194 Citations

Efficient and reliable schemes for nonlinear diffusion filtering

J. Weickert;B.M.T.H. Romeny;M.A. Viergever.
IEEE Transactions on Image Processing (1998)

1541 Citations

Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

West J;Fitzpatrick Jm;Wang My;Dawant Bm.
Journal of Computer Assisted Tomography (1997)

1218 Citations

Medical image matching-a review with classification

P.A. van den Elsen;E.-J.D. Pol;M.A. Viergever.
IEEE Engineering in Medicine and Biology Magazine (1993)

1145 Citations

Image registration by maximization of combined mutual information and gradient information

J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever.
medical image computing and computer assisted intervention (2000)

1049 Citations

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

A.F. Frangi;W.J. Niessen;M.A. Viergever.
IEEE Transactions on Medical Imaging (2001)

735 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Max A. Viergever

Wiro J. Niessen

Wiro J. Niessen

Erasmus University Rotterdam

Publications: 261

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 173

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 123

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 116

Stefan Klein

Stefan Klein

Erasmus University Rotterdam

Publications: 101

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 94

Aaron Fenster

Aaron Fenster

University of Western Ontario

Publications: 86

Bram van Ginneken

Bram van Ginneken

Radboud University Nijmegen

Publications: 83

Boudewijn P. F. Lelieveldt

Boudewijn P. F. Lelieveldt

Leiden University Medical Center

Publications: 80

Michael D. Abràmoff

Michael D. Abràmoff

University of Iowa

Publications: 80

Josien P. W. Pluim

Josien P. W. Pluim

Eindhoven University of Technology

Publications: 78

Nicholas Ayache

Nicholas Ayache

French Institute for Research in Computer Science and Automation - INRIA

Publications: 74

Marleen de Bruijne

Marleen de Bruijne

Erasmus University Rotterdam

Publications: 74

William M. Wells

William M. Wells

Brigham and Women's Hospital

Publications: 71

David J. Hawkes

David J. Hawkes

University College London

Publications: 71

Something went wrong. Please try again later.