D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 49 Citations 8,992 645 World Ranking 2146 National Ranking 108

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Magnetic resonance imaging
  • Internal medicine

Stuart Crozier focuses on Nuclear magnetic resonance, Electromagnetic coil, Acoustics, Magnet and Magnetic resonance imaging. His Nuclear magnetic resonance study integrates concerns from other disciplines, such as Computational physics, Radiofrequency coil, Biomagnetism, Eddy current and Shielded cable. His Electromagnetic coil research integrates issues from Simulated annealing, Transverse plane, Finite-difference time-domain method, Radio frequency and Electromagnetic shielding.

His Acoustics research incorporates themes from Antenna array, Antenna, Cylinder, Shim and Imaging phantom. His study in the field of Superconducting magnet also crosses realms of Electric field. His studies deal with areas such as Torso, Segmentation, Artificial intelligence and Current as well as Magnetic resonance imaging.

His most cited work include:

  • Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. (318 citations)
  • The Australian magnetic resonance imaging–linac program (223 citations)
  • Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee (144 citations)

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

His primary areas of study are Electromagnetic coil, Acoustics, Nuclear magnetic resonance, Artificial intelligence and Magnetic resonance imaging. His biological study spans a wide range of topics, including Electronic engineering, Magnet, Eddy current and Shielded cable. His Acoustics research is multidisciplinary, relying on both Phased array, Shim, Imaging phantom, Radio frequency and Radiofrequency coil.

Stuart Crozier has included themes like Computational physics, Optics, Transverse plane, Electromagnetic shielding and Magnetostatics in his Nuclear magnetic resonance study. His Artificial intelligence study combines topics in areas such as Breast MRI, Computer vision and Pattern recognition. His study in Biomedical engineering extends to Magnetic resonance imaging with its themes.

He most often published in these fields:

  • Electromagnetic coil (34.51%)
  • Acoustics (23.45%)
  • Nuclear magnetic resonance (21.98%)

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

  • Artificial intelligence (16.37%)
  • Magnetic resonance imaging (15.93%)
  • Electromagnetic coil (34.51%)

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

His primary areas of investigation include Artificial intelligence, Magnetic resonance imaging, Electromagnetic coil, Acoustics and Nuclear magnetic resonance. His research in Artificial intelligence intersects with topics in Computer vision and Pattern recognition. Stuart Crozier has researched Magnetic resonance imaging in several fields, including Knee Joint, Cartilage, Nuclear medicine and Biomedical engineering.

In his research, Cryostat is intimately related to Eddy current, which falls under the overarching field of Electromagnetic coil. His Acoustics study combines topics from a wide range of disciplines, such as Rogowski coil, Coil noise, Coil tap, Search coil and Inductance. His research investigates the link between Nuclear magnetic resonance and topics such as Linear particle accelerator that cross with problems in Magnet and Scanner.

Between 2013 and 2021, his most popular works were:

  • The Australian magnetic resonance imaging–linac program (223 citations)
  • Future of medical physics: Real-time MRI-guided proton therapy (65 citations)
  • Multidimensional compressed sensing MRI using tensor decomposition-based sparsifying transform. (47 citations)

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

  • Artificial intelligence
  • Magnetic resonance imaging
  • Internal medicine

Stuart Crozier mainly investigates Magnetic resonance imaging, Acoustics, Artificial intelligence, Electromagnetic coil and Imaging phantom. His Magnetic resonance imaging research integrates issues from Sagittal plane and Nuclear medicine. The concepts of his Acoustics study are interwoven with issues in Directional antenna and Position.

The various areas that he examines in his Artificial intelligence study include Shoulder joint, Computer vision and Pattern recognition. His biological study spans a wide range of topics, including Amplitude, Dielectric heating, Parallel communication and Nuclear magnetic resonance. Stuart Crozier combines subjects such as Image quality, Finite difference, Microwave and Biomedical engineering with his study of Imaging phantom.

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.

Best Publications

Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images.

David Raffelt;Jacques-Donald Tournier;Stephen E. Rose;Gerard R. Ridgway.
NeuroImage (2012)

487 Citations

The Australian magnetic resonance imaging–linac program

Paul J. Keall;Paul J. Keall;Michael Barton;Stuart Crozier.
Seminars in Radiation Oncology (2014)

330 Citations

Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee

J. Fripp;S. Crozier;S.K. Warfield;S. Ourselin.
IEEE Transactions on Medical Imaging (2010)

210 Citations

Symmetric diffeomorphic registration of fibre orientation distributions

David Raffelt;Jacques-Donald Tournier;Jurgen Fripp;Stuart Crozier.
NeuroImage (2011)

209 Citations

Automatic segmentation of the bone and extraction of the bone–cartilage interface from magnetic resonance images of the knee

Jurgen Fripp;Stuart Crozier;Simon K Warfield;Sébastien Ourselin.
Physics in Medicine and Biology (2007)

144 Citations

Gradient-Coil Design by Simulated Annealing

S. Crozier;D.M. Doddrell.
Journal of Magnetic Resonance, Series A (1993)

141 Citations

Determining complicated winding patterns for shim coils using stream functions and the target-field method

Michael A. Brideson;Larry K. Forbes;Stuart Crozier.
Concepts in Magnetic Resonance (2002)

129 Citations

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models.

A Neubert;A Neubert;J Fripp;C Engstrom;R Schwarz.
Physics in Medicine and Biology (2012)

120 Citations

Future of medical physics: Real-time MRI-guided proton therapy

Bradley M. Oborn;Stephen Dowdell;Peter E. Metcalfe;Stuart Crozier.
Medical Physics (2017)

120 Citations

An ultra wideband microwave imaging system for breast cancer detection

Wee Chang Khor;Marek E. Bialkowski;Amin M. Abbosh;Norhudah Seman.
international symposium on antennas and propagation (2007)

118 Citations

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