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{'doi': '10.1190/geo2019-0570.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'GEOPHYSICS', 'primary-resource': 'https://library.seg.org/doi/10.1190/geo2019-0570.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/geophysics/article/86/2/v131/594873/deep-seismic-prior-based-reconstruction-of-seismic', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 March 2021', 'publication': 'GEOPHYSICS', 'supplementary_ids': '10.1190/geo2019-0570.1', 'title': 'Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/geo2019-0570.1', 'grant_info': 'the National Key R&D Program of China (2018YFC1503705) | Hubei Subsurface Multi-scale Imaging Key Laboratory (SMIL-2018-06) | the Fundamental Research Funds for the Central Universities (CCNU19TS020) | Science and Technology Research Project of Hubei Provincial Department of Education (B2017597)', 'editors': None, 'authors': 'Qun Liu | Lihua Fu | Meng Zhang', 'chairs': None}
https://doi.org/10.1190/geo2019-0570.1
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