Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks

8 November 2017

Papers citing "Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks"

8 / 8 papers shown

Title
Physics-Driven Neural Compensation For Electrical Impedance Tomography Chuyu Wang Huiting Deng Dong Liu 22 0 0 25 Apr 2025
Learned enclosure method for experimental EIT data Sara Sippola Siiri Rautio Andreas Hauptmann Takanori Ide S. Siltanen 30 0 0 15 Apr 2025
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT) Xu Yang Yangming Zhang Haofeng Chen Gang Ma Xiaojie Wang 24 0 0 25 Jul 2024
Verifying Inverse Model Neural Networks Chelsea Sidrane Sydney M. Katz Anthony Corso Mykel J. Kochenderfer 11 2 0 04 Feb 2022
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 16 33 0 28 Mar 2021
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 16 34 0 21 Oct 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 23 37 0 01 Aug 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 19 63 0 30 Nov 2018