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Cited article:

Performance of solar far-side active region neural detection

E. G. Broock, T. Felipe, A. Asensio Ramos

A&A, 652 (2021) A132

Published online: 2021-08-24

DOI: https://doi.org/10.1051/0004-6361/202141006

This article has been cited by the following article(s):

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The Astrophysical Journal 969 (2) 154 (2024)
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Machine learning in solar physics

Andrés Asensio Ramos, Mark C. M. Cheung, Iulia Chifu and Ricardo Gafeira
Living Reviews in Solar Physics 20 (1) (2023)
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Imaging individual active regions on the Sun’s far side with improved helioseismic holography

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Astronomy & Astrophysics 669 A89 (2023)
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FarNet-II: An improved solar far-side active region detection method

E. G. Broock, A. Asensio Ramos and T. Felipe
Astronomy & Astrophysics 667 A132 (2022)
https://doi.org/10.1051/0004-6361/202244206

Inferring Maps of the Sun’s Far-side Unsigned Magnetic Flux from Far-side Helioseismic Images Using Machine Learning Techniques

Ruizhu Chen, Junwei Zhao, Shea Hess Webber, Yang Liu, J. Todd Hoeksema and Marc L. DeRosa
The Astrophysical Journal 941 (2) 197 (2022)
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