367 citations · 406 across the 13 of their papers we have counts for
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math.NA2018★ 1 cited
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)
S. J. Hamilton, A. Hänninen, A. Hauptmann +1
Objective: To develop, and demonstrate the feasibility of, a novel image reconstruction method for absolute Electrical Impedance Tomography (a-EIT) that pairs deep learning techniq…
cs.CV2018
Networks for Nonlinear Diffusion Problems in Imaging
Simon Arridge, Andreas Hauptmann
A multitude of imaging and vision tasks have seen recently a major transformation by deep learning methods and in particular by the application of convolutional neural networks. Th…