16 citations · 19 across the 2 of their papers we have counts for
2 papers
math.NA2023★ 3 cited
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks
Bangti Jin, Xiyao Li, Qimeng Quan +1
In this work we develop a novel approach using deep neural networks to reconstruct the conductivity distribution in elliptic problems from one measurement of the solution over the…
math.NA2022★ 16 cited
Imaging Conductivity from Current Density Magnitude using Neural Networks
Bangti Jin, Xiyao Li, Xiliang Lu
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 conducti…