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Computer Science

D-Index
47
Citations
6631
World Ranking
6616
National Ranking
395

Overview

Richard W. Prager is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans the fields of Engineering and Medicine, with a focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanics of Materials, and Signal Processing.

Their work addresses key topics within ultrasound imaging and related modalities. These include:

  • Ultrasound Imaging and Elastography
  • Photoacoustic and Ultrasonic Imaging
  • Ultrasonics and Acoustic Wave Propagation
  • Ultrasound and Hyperthermia Applications
  • Thermography and Photoacoustic Techniques
  • Optical Imaging and Spectroscopy Techniques
  • Speech and Audio Processing

Prager has published several papers in notable venues, emphasizing advancements in ultrasound imaging techniques. Some recent publications include:

  • "Improved ultrasound image quality with pixel-based beamforming using a Wiener-filter and a SNR-dependent coherence factor," 2021, Ultrasonics
  • "Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality," 2022, Ultrasonics
  • "Photoacoustic-ultrasonic dual-mode microscopy with local speed-of-sound estimation," 2020, Optics Letters
  • "A Study of Bandwidth Extension in Delay Multiply and Sum Beamforming applied to Ultrasound Imaging," 2022, 2022 IEEE International Ultrasonics Symposium (IUS)

These publications highlight Prager's work in both image quality improvement methods and dual-mode imaging techniques that combine photoacoustic and ultrasonic approaches.

Frequent coauthors in their research include:

  • Nghia Nguyen
  • Huiwen Xie
  • Hao Guo
  • Guangquan Zhou
  • Wentian Chen

Their main venues of publication reflect a focus on ultrasonics and optical imaging, with multiple contributions to the journal Ultrasonics and presentations at the IEEE International Ultrasonics Symposium, alongside work in Optics Letters.

Best Publications

  • Rapid calibration for 3-D freehand ultrasound

    R.W. Prager;R.N. Rohling;A.H. Gee;L. Berman

  • Regularised marching tetrahedra: improved iso-surface extraction

    Graham M. Treece;Richard W. Prager;Andrew H. Gee

  • Stradx: real-time acquisition and visualization of freehand three-dimensional ultrasound.

    Richard W. Prager;Andrew H. Gee;Laurence H. Berman

  • Stradx: real-time acquisition and visualisation of freehand 3D ultrasound

    RW Prager;AH Gee;LH Berman

  • Three-dimensional ultrasound imaging

    R W Prager;U Z Ijaz;A H Gee;G M Treece

  • High-definition freehand 3-D ultrasound

    Graham M Treece;Andrew H Gee;Richard W Prager;Charlotte J.C Cash

  • Engineering a freehand 3D ultrasound system

    Andrew Gee;Richard Prager;Graham Treece;Laurence Berman

  • Surface interpolation from sparse cross sections using region correspondence

    G.M. Treece;R.W. Prager;A.H. Gee;L. Berman

  • Processing and visualizing three-dimensional ultrasound data.

    A Gee;R Prager;G Treece;C Cash

  • Fast surface and volume estimation from non-parallel cross-sections, for freehand three-dimensional ultrasound.

    Graham M. Treece;Richard W. Prager;Andrew H. Gee;Laurence H. Berman

  • Development of low entropy coding in a recurrent network.

    George F Harpur;Richard W Prager

  • Correction of probe pressure artifacts in freehand 3D ultrasound.

    Graham M. Treece;Richard W. Prager;Andrew H. Gee;Laurence H. Berman

  • Sensorless freehand 3D ultrasound in real tissue: speckle decorrelation without fully developed speckle.

    Andrew H. Gee;R. James Housden;Peter Hassenpflug;Graham M. Treece

  • Boltzmann machines for speech recognition

    R. W. Prager;T. D. Harrison;F. Fallside

  • Freehand 3D Ultrasound Calibration: A Review

    Po-Wei Hsu;Richard W. Prager;Andrew H. Gee;Graham M. Treece

  • A quality-guided displacement tracking algorithm for ultrasonic elasticity imaging.

    Lujie Chen;Graham M. Treece;Joel E. Lindop;Andrew H. Gee

  • 3D elastography using freehand ultrasound.

    Joel E. Lindop;Graham M. Treece;Andrew H. Gee;Richard W. Prager

  • Original Contribution: An analytical framework for optimizing neural networks

    Andrew H. Gee;Sreeram V. B. Aiyer;Richard W. Prager

  • Real-time freehand 3D ultrasound calibration.

    Po-Wei Hsu;Richard W. Prager;Andrew H. Gee;Graham M. Treece

  • Decompression and speckle detection for ultrasound images using the homodyned K -distribution

    R. W. Prager;A. H. Gee;G. M. Treece;L. H. Berman

Frequent Co-Authors

Andrew H. Gee
Andrew H. Gee University of Cambridge
Graham M. Treece
Graham M. Treece University of Cambridge
Nick Kingsbury
Nick Kingsbury University of Cambridge
Robert Rohling
Robert Rohling University of British Columbia
Michael F. Insana
Michael F. Insana University of Illinois at Urbana-Champaign
Mark D. Plumbley
Mark D. Plumbley King's College London
Xiaojun Liu
Xiaojun Liu Nanjing University

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