Displacement-based Reconstruction of Elasticity Distribution with Deep Neural Network
Author:
Affiliation:
1. School of Computer Science, Southwest Petroleum University,Sichuan,China
2. Tsinghua University,Department of Biomedical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9957114/9957143/09958003.pdf?arnumber=9958003
Reference21 articles.
1. Adjoint-weighted variational formulation for the direct solution of inverse problems of general linear elasticity with full interior data
2. Direct error in constitutive equation formulation for plane stress inverse elasticity problem
3. Model-based elastography: a survey of approaches to the inverse elasticity problem
4. A deep learning approach to the inverse problem of modulus identification in elasticity
5. Learning hidden elasticity with deep neural networks
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