1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
William Herzberg, Daniel B. Rowe, Andreas Hauptmann +1
The majority of model-based learned image reconstruction methods in medical imaging have been limited to uniform domains, such as pixelated images. If the underlying model is solve…
math.NA2020★ 1 cited
3D EIT Reconstructions from Electrode Data using Direct Inversion D-bar and Calderon Methods
Sarah J. Hamilton, David Isaacson, Ville Kolehmainen +3
The first numerical implementation of a D-bar method in 3D using electrode data is presented. Results are compared to Calderón's method as well as more common TV and smoothness reg…