Image Reconstruction for Electrical Impedance Tomography (EIT) With Improved Wasserstein Generative Adversarial Network (WGAN)-Reference-Cited by-同舟云学术

Image Reconstruction for Electrical Impedance Tomography (EIT) With Improved Wasserstein Generative Adversarial Network (WGAN)

Author:

Zhang Hanyu¹^ORCID,Wang Qi¹^ORCID,Zhang Ronghua²^ORCID,Li Xiuyan¹^ORCID,Duan Xiaojie¹^ORCID,Sun Yukuan³^ORCID,Wang Jianming¹^ORCID,Jia Jiabin⁴^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Tiangong University, Tianjin, China

2. School of Artificial Intelligence, Tiangong University, Tianjin, China

3. Center for Engineering Intership and Training, Tiangong University, Tianjin, China

4. Agile Tomography Group, School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin City

Tianjin Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference37 articles.

2. Unsupervised representation learning with deep convolutional generative adversarial networks;radford;Proc Int Conf Learn Represent (ICLR),2016

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