Learnable Douglas-Rachford iteration and its applications in DOT imaging-Reference-Cited by-同舟云学术

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Learnable Douglas-Rachford iteration and its applications in DOT imaging

Published:2020 Issue:4 Volume:14 Page:683-700
ISSN:1930-8345
Container-title:Inverse Problems & Imaging
language:en
Short-container-title:

Author:

Liu Jiulong, ,Chen Nanguang,Ji Hui,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Control and Optimization,Discrete Mathematics and Combinatorics,Modelling and Simulation,Analysis,Control and Optimization,Discrete Mathematics and Combinatorics,Modeling and Simulation,Analysis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Speed Time-Domain Diffuse Optical Tomography With a Sensitivity Equation-Based Neural Network;IEEE Transactions on Computational Imaging;2023

2. Optical breast atlas as a testbed for image reconstruction in optical mammography;Scientific Data;2021-09-30

3. Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing;Computer Vision – ECCV 2020;2020

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