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Engineering and Technology

D-Index
48
Citations
12776
World Ranking
4471
National Ranking
297

Overview

Ben Cox is a researcher affiliated with University College London in the United Kingdom. Their academic work focuses primarily on the fields of Engineering and Medicine, with significant contributions to Biomedical Engineering, Mechanics of Materials, Radiology, Nuclear Medicine and Imaging, Geophysics, and Atomic and Molecular Physics, and Optics.

The main topics explored in their research include Photoacoustic and Ultrasonic Imaging, Thermography and Photoacoustic Techniques, Ultrasound Imaging and Elastography, Optical Imaging and Spectroscopy Techniques, Ultrasound and Hyperthermia Applications, Ultrasonics and Acoustic Wave Propagation, and Advanced X-ray and CT Imaging.

Ben Cox has published extensively, with frequent contributions to several scientific venues. Their most published platforms include arXiv (Cornell University), The Journal of the Acoustical Society of America, Photoacoustics, Journal of Biomedical Optics, and Inverse Problems.

Some of their recent published papers are:

  • Deep learning in photoacoustic tomography: current approaches and future directions (2020), Journal of Biomedical Optics
  • Toward accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in three dimensions (2020), Journal of Biomedical Optics
  • A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging: From current barriers to future adoption (2023), Photoacoustics
  • Stackable acoustic holograms (2020), Applied Physics Letters
  • A fast all-optical 3D photoacoustic scanner for clinical vascular imaging (2024), Nature Biomedical Engineering

The researcher collaborates frequently with several co-authors, including Bradley E. Treeby, Simon Arridge, Antonio Stanziola, Felix Lucka, and Paul C. Beard.

Best Publications

  • k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields.

    Unknown

  • Quantitative spectroscopic photoacoustic imaging: a review.

    Ben Cox;Jan G. Laufer;Simon R. Arridge;Paul C. Beard

  • Modeling nonlinear ultrasound propagation in heterogeneous media with power law absorption using a k-space pseudospectral method.

    Unknown

  • Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter

    Amit P. Jathoul;Jan Laufer;Jan Laufer;Jan Laufer;Olumide Ogunlade;Bradley Treeby

  • Modeling power law absorption and dispersion for acoustic propagation using the fractional Laplacian

    Bradley E. Treeby;B. T. Cox

  • Photoacoustic tomography in absorbing acoustic media using time reversal

    Bradley E Treeby;Edward Z Zhang;B T Cox

  • In vivo preclinical photoacoustic imaging of tumor vasculature development and therapy.

    Jan Laufer;Peter Johnson;Edward Zhang;Bradley Treeby

  • Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography

    Andreas Hauptmann;Felix Lucka;Marta Betcke;Nam Huynh

  • Two-dimensional quantitative photoacoustic image reconstruction of absorption distributions in scattering media by use of a simple iterative method

    Benjamin T. Cox;Simon R. Arridge;Kornel P. Köstli;Paul C. Beard

  • k-space propagation models for acoustically heterogeneous media: application to biomedical photoacoustics.

    B. T. Cox;S. Kara;S. R. Arridge;P. C. Beard

  • Fast calculation of pulsed photoacoustic fields in fluids using k-space methods.

    B. T. Cox;P. C. Beard

  • Estimating chromophore distributions from multiwavelength photoacoustic images.

    B. T. Cox;S. R. Arridge;P. C. Beard

  • Accelerated high-resolution photoacoustic tomography via compressed sensing.

    Simon Arridge;Paul Beard;Marta Betcke;Ben Cox

  • The challenges for quantitative photoacoustic imaging

    B. T. Cox;J. G. Laufer;P. C. Beard

  • Multimodal photoacoustic and optical coherence tomography scanner using an all optical detection scheme for 3D morphological skin imaging.

    Edward Z. Zhang;Boris Povazay;Jan Laufer;Aneesh Alex

  • A gradient-based method for quantitative photoacoustic tomography using the radiative transfer equation

    T Saratoon;T Tarvainen;T Tarvainen;B T Cox;S R Arridge

  • Accurate simulation of transcranial ultrasound propagation for ultrasonic neuromodulation and stimulation.

    James L. B. Robertson;Ben T. Cox;J. Jaros;Bradley E. Treeby

  • Quantitative determination of chromophore concentrations from 2D photoacoustic images using a nonlinear model-based inversion scheme

    Jan Laufer;Ben Cox;Edward Zhang;Paul Beard

  • On the adjoint operator in photoacoustic tomography

    Simon R. Arridge;Marta M. Betcke;Ben T. Cox;Felix Lucka

  • Model based learning for accelerated, limited-view 3D photoacoustic tomography

    Andreas Hauptmann;Felix Lucka;Marta Betcke;Nam Huynh

  • Photoacoustic tomography with a limited-aperture planar sensor and a reverberant cavity

    B T Cox;S R Arridge;P C Beard

  • Deep learning in photoacoustic tomography: current approaches and future directions

    Andreas Hauptmann;Andreas Hauptmann;Ben T. Cox

  • Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion.

    M. Pérez-Liva;J. L. Herraiz;J. M. Udías;E. Miller

  • Modelling elastic wave propagation using the k-Wave MATLAB Toolbox

    Bradley E. Treeby;Jiri Jaros;Daniel Rohrbach;B. T. Cox

Frequent Co-Authors

Paul C. Beard
Paul C. Beard University College London
Simon R. Arridge
Simon R. Arridge University College London
Jari P. Kaipio
Jari P. Kaipio University of Auckland
Phillip Joseph
Phillip Joseph University of Southampton
Timothy G. Leighton
Timothy G. Leighton University of Southampton
Adrien E. Desjardins
Adrien E. Desjardins University College London
Eric L. Miller
Eric L. Miller Tufts University
Sebastien Ourselin
Sebastien Ourselin King's College London
Lihong V. Wang
Lihong V. Wang California Institute of Technology
Peter J. Scambler
Peter J. Scambler University College London

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