H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 76 Citations 32,653 378 World Ranking 553 National Ranking 34

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Internal medicine

Artificial intelligence, Computer vision, Image registration, Magnetic resonance imaging and Image processing are his primary areas of study. His study in Artificial intelligence concentrates on Mutual information, Voxel, Medical imaging, Similarity measure and Image-guided surgery. His Computer vision study combines topics in areas such as Transformation, Imaging phantom, Visualization and Affine transformation.

The various areas that David J. Hawkes examines in his Image registration study include Image segmentation and Fluoroscopy, Radiology, Ultrasound, Fiducial marker. His research integrates issues of Anatomy & histology, Pathology, Radiography, Breathing and Nuclear medicine in his study of Magnetic resonance imaging. In the field of Image processing, his study on Digital image overlaps with subjects such as Modalities and Context.

His most cited work include:

  • Nonrigid registration using free-form deformations: application to breast MR images (4302 citations)
  • An overlap invariant entropy measure of 3D medical image alignment (1911 citations)
  • Medical image registration (1857 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image registration, Radiology and Magnetic resonance imaging. The concepts of his Artificial intelligence study are interwoven with issues in Imaging phantom and Pattern recognition. David J. Hawkes has researched Computer vision in several fields, including Transformation and Affine transformation.

The Image registration study combines topics in areas such as Medical imaging, Mammography, Finite element method, Algorithm and Similarity measure. His Radiology study incorporates themes from Prostate and Biomedical engineering. Much of his study explores Magnetic resonance imaging relationship to Nuclear medicine.

He most often published in these fields:

  • Artificial intelligence (50.52%)
  • Computer vision (43.63%)
  • Image registration (25.19%)

What were the highlights of his more recent work (between 2013-2021)?

  • Artificial intelligence (50.52%)
  • Radiology (19.49%)
  • Computer vision (43.63%)

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

His primary areas of investigation include Artificial intelligence, Radiology, Computer vision, Magnetic resonance imaging and Breast cancer. His is doing research in Image registration and Segmentation, both of which are found in Artificial intelligence. His studies deal with areas such as Breast imaging, Finite element method, Motion estimation, Supine position and Transformation as well as Image registration.

His Radiology study integrates concerns from other disciplines, such as Cancer, Prostate, Prostate cancer and Surgery. His study in Computer vision is interdisciplinary in nature, drawing from both Imaging phantom and Laparoscopic ultrasound. His studies in Magnetic resonance imaging integrate themes in fields like Mammography, Nuclear medicine and Pathology.

Between 2013 and 2021, his most popular works were:

  • Imaging biomarker roadmap for cancer studies. (407 citations)
  • Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic Resonance Imaging (85 citations)
  • The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy (59 citations)

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

  • Artificial intelligence
  • Surgery
  • Internal medicine

His main research concerns Artificial intelligence, Computer vision, Radiology, Magnetic resonance imaging and Image registration. His research in Artificial intelligence intersects with topics in Radiation therapy and Pattern recognition. His work carried out in the field of Computer vision brings together such families of science as Invasive surgery and Imaging phantom.

While the research belongs to areas of Radiology, David J. Hawkes spends his time largely on the problem of Surgery, intersecting his research to questions surrounding Laparoscopic gastrectomy, Navigation system and Ultrasound. His Magnetic resonance imaging study combines topics in areas such as Cancer, Prostate, Prostate cancer, Biopsy and Medical physics. His Image registration research incorporates elements of Biomechanics, Mammography, Motion estimation, Supine position and Prone position.

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

Nonrigid registration using free-form deformations: application to breast MR images

D. Rueckert;L.I. Sonoda;C. Hayes;D.L.G. Hill.
IEEE Transactions on Medical Imaging (1999)

5624 Citations

An overlap invariant entropy measure of 3D medical image alignment

Colin Studholme;Derek L. G. Hill;David J. Hawkes.
Pattern Recognition (1999)

2821 Citations

Medical image registration

Derek L G Hill;Philipp G Batchelor;Mark Holden;David J Hawkes.
Physics in Medicine and Biology (2001)

1898 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

A comparison of similarity measures for use in 2-D-3-D medical image registration

G.P. Penney;J. Weese;J.A. Little;P. Desmedt.
IEEE Transactions on Medical Imaging (1998)

1065 Citations

Fast free-form deformation using graphics processing units

Marc Modat;Gerard R. Ridgway;Zeike A. Taylor;Manja Lehmann.
Computer Methods and Programs in Biomedicine (2010)

813 Citations

Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures

Colin Studholme;Derek L. G. Hill;David J. Hawkes.
Medical Physics (1997)

750 Citations

X-ray attenuation coefficients of elements and mixtures

Daphne F. Jackson;D.J. Hawkes.
Physics Reports (1981)

537 Citations

Automated 3-D registration of MR and CT images of the head

Colin Studholme;Derek L. G. Hill;David J. Hawkes.
Medical Image Analysis (1996)

514 Citations

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

Julia A. Schnabel;Daniel Rueckert;Marcel Quist;Jane M. Blackall.
medical image computing and computer assisted intervention (2001)

487 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 David J. Hawkes

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 319

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 202

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 166

Hashim U. Ahmed

Hashim U. Ahmed

Imperial College Healthcare NHS Trust

Publications: 153

Wiro J. Niessen

Wiro J. Niessen

Erasmus University Rotterdam

Publications: 141

Mark Emberton

Mark Emberton

University College London

Publications: 134

Marc Modat

Marc Modat

King's College London

Publications: 103

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 96

John R. Hodges

John R. Hodges

University of Sydney

Publications: 93

Massimo Filippi

Massimo Filippi

Vita-Salute San Raffaele University

Publications: 92

Julia A. Schnabel

Julia A. Schnabel

King's College London

Publications: 88

Benoit M. Dawant

Benoit M. Dawant

Vanderbilt University

Publications: 83

Terry M. Peters

Terry M. Peters

University of Western Ontario

Publications: 83

Alejandro F. Frangi

Alejandro F. Frangi

University of Leeds

Publications: 80

Joseph V. Hajnal

Joseph V. Hajnal

King's College London

Publications: 78

Something went wrong. Please try again later.