Intracerebral Hemorrhage Imaging Based on Hybrid Deep Learning With Electrical Impedance Tomography-Reference-Cited by-同舟云学术

Intracerebral Hemorrhage Imaging Based on Hybrid Deep Learning With Electrical Impedance Tomography

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Shi Yanyan¹^ORCID,Wu Yuehui¹^ORCID,Wang Meng¹^ORCID,Tian Zhiwei¹^ORCID,Fu Feng²^ORCID

Affiliation:

1. Henan Key Laboratory of Optoelectronic Sensing Integrated Application and Academician Workstation of Electromagnetic Wave Engineering of Henan Province, College of Electronic and Electrical Engineering, Henan Normal University, Xinxiang, China

2. School of Biomedical Engineering, Fourth Military Medical University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Foundation for University Key Young Teacher by Henan Province of China

Scientific and Technological Innovation Program for Universities in Henan Province of China

Key Research and Development Program of Shanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10147852.pdf?arnumber=10147852

Reference49 articles.

1. RCRC: A Deep Neural Network for Dynamic Image Reconstruction of Electrical Impedance Tomography

2. FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging

3. A Robust Inclusion Boundary Reconstructor for Electrical Impedance Tomography With Geometric Constraints

4. Incorporating a Spatial Prior into Nonlinear D-Bar EIT Imaging for Complex Admittivities

5. Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian Learning

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