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A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
v1v2 (latest)

A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)

25 July 2024
Xu Yang
Yangming Zhang
Haofeng Chen
Gang Ma
Xiaojie Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)"

10 / 10 papers shown
Physics-Driven Learning Framework for Tomographic Tactile Sensing
Physics-Driven Learning Framework for Tomographic Tactile Sensing
Xuanxuan Yang
Xiuyang Zhang
Haofeng Chen
Gang Ma
Xiaojie Wang
108
0
0
03 Dec 2025
Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems
Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems
Aleksandra Jekic
Afroditi Natsaridou
Signe Riemer-Sørensen
Helge Langseth
Odd Erik Gundersen
PINNAI4CE
241
1
0
24 Sep 2025
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Physics Embedded Machine Learning for Electromagnetic Data ImagingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Rui Guo
Tianyao Huang
Maokun Li
Hai-Feng Zhang
Yonina C. Eldar
MedImAI4CE
192
69
0
26 Jul 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's nextJournal of Scientific Computing (J. Sci. Comput.), 2022
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
600
2,068
0
14 Jan 2022
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Physics-informed neural networks (PINNs) for fluid mechanics: A reviewActa Mechanica Sinica (Acta Mech. Sin.), 2021
Shengze Cai
Zhiping Mao
Zhicheng Wang
Minglang Yin
George Karniadakis
PINNAI4CE
545
1,751
0
20 May 2021
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object
  Detection
U2^22-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin
Zichen Zhang
Chenyang Huang
Masood Dehghan
Osmar R. Zaiane
Martin Jägersand
555
2,052
0
18 May 2020
Solving Electrical Impedance Tomography with Deep Learning
Solving Electrical Impedance Tomography with Deep LearningJournal of Computational Physics (JCP), 2019
Yuwei Fan
Lexing Ying
330
118
0
06 Jun 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute
  Imaging with Electrical Impedance Tomography (a-EIT)
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
294
69
0
30 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention ModuleEuropean Conference on Computer Vision (ECCV), 2018
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
743
22,529
0
17 Jul 2018
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep
  Neural Networks
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks
S. Hamilton
A. Hauptmann
216
291
0
08 Nov 2017
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