Solving Electrical Impedance Tomography with Deep Learning

6 June 2019

Papers citing "Solving Electrical Impedance Tomography with Deep Learning"

7 / 7 papers shown

Title
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 29 0 0 25 Jul 2024
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 36 21 0 29 Sep 2022
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 19 54 0 27 Aug 2021
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 30 146 0 22 Dec 2020
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 24 34 0 21 Oct 2019
Meta-learning Pseudo-differential Operators with Deep Neural Networks Jordi Feliu-Fabà Yuwei Fan Lexing Ying 22 39 0 16 Jun 2019
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks Yingzhou Li Xiuyuan Cheng Jianfeng Lu 21 23 0 18 May 2018