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. 2021 Mar 23;10:62. doi: 10.1038/s41377-021-00506-9

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — a An additive Gaussian noise with zero mean and a standard variance of σ was injected into each DPM to test the stability of Recurrent-MZ inference. The output images and difference maps (with respect to ground truth) with no injected noise (σ = 0) and with different levels of noise injection are shown. b The NRMSE-σ boxplots for Recurrent-MZ output images at z = 4.6 μm and z = 6.8 μm are reported. NRMSE values were calculated over 50 random tests. The difference maps were normalized by the maximum difference between the input images and the ground truth