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Electrical Impedance Tomography: A Fair Comparative Study on Deep
  Learning and Analytic-based Approaches

Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches

28 October 2023
Derick Nganyu Tanyu
Jianfeng Ning
Andreas Hauptmann
Bangti Jin
Peter Maass
ArXivPDFHTML

Papers citing "Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches"

4 / 4 papers shown
Title
Learned enclosure method for experimental EIT data
Learned enclosure method for experimental EIT data
Sara Sippola
Siiri Rautio
Andreas Hauptmann
Takanori Ide
S. Siltanen
22
0
0
15 Apr 2025
A Direct Sampling-Based Deep Learning Approach for Inverse Medium
  Scattering Problems
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems
Jianfeng Ning
Fuqun Han
Jun Zou
21
11
0
29 Apr 2023
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,254
0
18 Oct 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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