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Simon R. Arridge
Researcher at University College London
Publications - 602
Citations - 33776
Simon R. Arridge is an academic researcher from University College London. The author has contributed to research in topics: Iterative reconstruction & Optical tomography. The author has an hindex of 83, co-authored 582 publications receiving 30962 citations. Previous affiliations of Simon R. Arridge include University of Cambridge & University College London Hospitals NHS Foundation Trust.
Papers
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Optical tomography in medical imaging
TL;DR: A review of methods for the forward and inverse problems in optical tomography can be found in this paper, where the authors focus on the highly scattering case found in applications in medical imaging, and to the problem of absorption and scattering reconstruction.
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Estimation of optical pathlength through tissue from direct time of flight measurement
TL;DR: Monte Carlo modelling of light pulses in tissue has shown that the mean value of the time dispersed light pulse correlates with the pathlength used in quantitative spectroscopic calculations, and this result has been verified in a phantom material.
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Recent advances in diffuse optical imaging.
TL;DR: The current state-of-the-art of diffuse optical imaging is reviewed, which is an emerging technique for functional imaging of biological tissue and recent work on in vivo applications including imaging the breast and brain is reviewed.
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DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Guang Yang,Simiao Yu,Hao Dong,Greg Slabaugh,Pier Luigi Dragotti,Xujiong Ye,Fangde Liu,Simon R. Arridge,Jennifer Keegan,Yike Guo,David N. Firmin +10 more
TL;DR: This paper provides a deep learning-based strategy for reconstruction of CS-MRI, and bridges a substantial gap between conventional non-learning methods working only on data from a single image, and prior knowledge from large training data sets.
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A finite element approach for modeling photon transport in tissue.
TL;DR: A finite element method for deriving photon density inside an object, and photon flux at its boundary, assuming that the photon transport model is the diffusion approximation to the radiative transfer equation, is introduced herein.