Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography-Reference-Cited by-同舟云学术

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Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography

Published:2024-07 Issue: Volume:133 Page:108617
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Lei Jing^ORCID,Liu Qibin,Wang Xueyao

Publisher

Elsevier BV

Reference77 articles.

1. On instabilities of deep learning in image reconstruction and the potential costs of AI;Antun;Proc. Natl. Acad. Sci. USA,2020

2. Relevance vector machine image reconstruction algorithm for electrical capacitance tomography with explicit uncertainty estimates;Acero;IEEE Sensor. J.,2020

3. A fast iteration shrinkage thresholding algorithm for linear inverse problems;Beck;SIAM J. Imag. Sci.,2009

4. Computed tomography reconstruction using deep image prior and learned reconstruction methods;Baguer;Inverse Probl.,2020

5. On the linear convergence of forward-backward splitting method: part i—convergence analysis;Bello-Cruz;J. Optim. Theor. Appl.,2021

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