Ben T. Cox

Orcid: 0000-0001-7296-4093

Affiliations:
  • University College of London, Department of Medical Physics and Biomedical Engineering, UK


According to our database1, Ben T. Cox authored at least 26 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Mitigating the Limited View Problem in Photoacoustic Tomography for a Planar Detection Geometry by Regularized Iterative Reconstruction.
IEEE Trans. Medical Imaging, September, 2023

j-Wave: An open-source differentiable wave simulator.
SoftwareX, May, 2023

Physics-Based Acoustic Holograms.
CoRR, 2023

2022
A Learned Born Series for Highly-Scattering Media.
CoRR, 2022

Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain.
CoRR, 2022

2021
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain.
IEEE Trans. Computational Imaging, 2021

A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound.
J. Comput. Phys., 2021

A research framework for writing differentiable PDE discretizations in JAX.
CoRR, 2021

Ray-based inversion accounting for scattering for biomedical ultrasound computed tomography.
CoRR, 2021

High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion.
CoRR, 2021

2020
ElasticMatrix: A MATLAB toolbox for anisotropic elastic wave propagation in layered media.
SoftwareX, 2020

Photoacoustic Reconstruction Using Sparsity in Curvelet Frame.
CoRR, 2020

Deep Learning in Photoacoustic Tomography: Current approaches and future directions.
CoRR, 2020

Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast.
CoRR, 2020

2019
A pseudospectral method for solution of the radiative transport equation.
J. Comput. Phys., 2019

2018
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography.
IEEE Trans. Medical Imaging, 2018

Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation.
SIAM J. Imaging Sci., 2018

Bandwidth-based mesh adaptation in multiple dimensions.
J. Comput. Phys., 2018

Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2017
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography.
IEEE Trans. Computational Imaging, 2017

Model based learning for accelerated, limited-view 3D photoacoustic tomography.
CoRR, 2017

2016
Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography.
IEEE Trans. Medical Imaging, 2016

Full-wave attenuation reconstruction in the time domain for ultrasound computed tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2013
Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography.
IEEE Trans. Medical Imaging, 2013

2011
Time Domain Simulation of Harmonic Ultrasound Images and Beam Patterns in 3D Using the k-space Pseudospectral Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Artifact Trapping During Time Reversal Photoacoustic Imaging for Acoustically Heterogeneous Media.
IEEE Trans. Medical Imaging, 2010


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