Machine-Learning-Based Inversion Scheme for Super-Resolution Three-Dimensional Microwave Human Brain Imaging-Reference-Cited by-同舟云学术

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Machine-Learning-Based Inversion Scheme for Super-Resolution Three-Dimensional Microwave Human Brain Imaging

Published:2022-12 Issue:12 Volume:21 Page:2437-2441
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Zhao Le-Yi¹,Xiao Li-Ye¹^ORCID,Cheng Yu¹,Hong Ronghan¹,Liu Qing Huo²^ORCID

Affiliation:

1. Institute of Electromagnetics and Acoustics and Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen, China

2. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/9967023/09849070.pdf?arnumber=9849070

Reference23 articles.

1. Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging

2. Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems

3. Super-Resolution 3-D Microwave Imaging of Objects With High Contrasts by a Semijoin Extreme Learning Machine

4. Microwave Imaging by Deep Learning Network: Feasibility and Training Method

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1. Study on Microwave Thorax Imaging for Human Respiration Monitoring;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2024-06

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