Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT

• Seung-Jin Yoo,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul, Republic of Korea

  https://orcid.org/0000-0002-0779-3889

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• Young Sik Park,

  Roles Data curation, Resources, Writing – review & editing

  Affiliation Department of Internal Medicine, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea

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• Hyewon Choi,

  Roles Validation, Writing – review & editing

  Affiliation Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, South Korea

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• Da Som Kim,

  Roles Validation, Writing – review & editing

  Affiliation Departments of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea

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• Jin Mo Goo,

  Roles Writing – review & editing

  Affiliation Department of radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea

  https://orcid.org/0000-0003-1791-7942

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• Soon Ho Yoon

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: yshoka@snu.ac.kr

  Affiliation Department of radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Korea

  https://orcid.org/0000-0002-3700-0165

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