Imaging conductivity from current density magnitude using neural networks*
Work
Year: 2022
Type: article
Abstract: Conductivity imaging represents one of the most important tasks in medical imaging. In this work we develop a neural network based reconstruction technique for imaging the conductivity from the magnit... more
Source: Inverse Problems
Authors Bangti Jin, Xi‐Yao Li, Xiliang Lu
Institutions University College London, Wuhan University
Cites: 80
Cited by: 10
Related to: 10
FWCI: 1.087
Citation percentile (by year/subfield): 73.48
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Funders National Natural Science Foundation of China, Engineering and Physical Sciences Research Council
Grant IDS 11871385, EP/T000864/1