Joint Inversion of Electrical Impedance, Microwave and Ultrasonic Data With Structural Feature Fusion for Human Thorax Imaging-Reference-Cited by-同舟云学术

Joint Inversion of Electrical Impedance, Microwave and Ultrasonic Data With Structural Feature Fusion for Human Thorax Imaging

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
language:
Short-container-title:

Author:

Lin Zhichao¹,Guo Rui¹,Zhang Ke¹,Zhang Haolin²,Li Maokun¹,Yang Fan¹,Xu Shenheng¹,Abubakar Aria³

Affiliation:

1. Tsinghua University,Beijing National Research Center for Information Science and Technology (BNRist),Department of Electronic Engineering,Beijing,China,100084

2. Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China

3. Schlumberger,Houston,Texas,USA

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Tsinghua University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10202212/10202164/10202474.pdf?arnumber=10202474

Reference14 articles.

1. A Feasibility Study of 2-D Microwave Thorax Imaging Based on the Supervised Descent Method

2. A deep generative model-integrated framework for three-dimensional time-difference electrical impedance tomography;zhang;IEEE Transactions on Instrumentation and Measurement,2022

3. The cancer imaging archive (TCIA): maintaining and operating a public information repository;clark;Journal of Digital Imaging,2013

4. Feature-Based Inversion Using Variational Autoencoder for Electrical Impedance Tomography

5. A Nonlinear Model Compression Scheme Based on Variational Autoencoder for Microwave Data Inversion

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics Embedded Weight-Sharing Neural Network for Electrical Impedance Tomography;2023 IEEE Conference on Antenna Measurements and Applications (CAMA);2023-11-15