Physics-Coupled Neural Network Magnetic Resonance Electrical Property Tomography (MREPT) for Conductivity Reconstruction-Reference-Cited by-同舟云学术

Physics-Coupled Neural Network Magnetic Resonance Electrical Property Tomography (MREPT) for Conductivity Reconstruction

Published:2022 Issue: Volume:31 Page:3463-3478
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Garcia Inda Adan Jafet¹^ORCID,Huang Shao Ying²^ORCID,Imamoglu Nevrez³^ORCID,Yu Wenwei⁴^ORCID

Affiliation:

1. Department of Medical Engineering, Chiba University, Chiba, Japan

2. Department of Surgery, National University of Singapore, Singapore

3. Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

4. Center for Frontier Medical Engineering and the Department of Medical Engineering, Chiba University, Chiba, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09771095.pdf?arnumber=9771095

Reference45 articles.

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2. MoDL: Model-Based Deep Learning Architecture for Inverse Problems

3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

4. Learning data-driven discretizations for partial differential equations

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