-
Loading metrics
Open Access
Peer-reviewed
Research Article
Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features
-
Shinnosuke Sawano,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing – original draft
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Satoshi Kodera ,
Roles Supervision, Validation, Writing – review & editing
* E-mail: koderasatoshi@gmail.com
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Masataka Sato,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Susumu Katsushika,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Issei Sukeda,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hirotoshi Takeuchi,
Roles Investigation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hiroki Shinohara,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Atsushi Kobayashi,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hiroshi Takiguchi,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Kazutoshi Hirose,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Tatsuya Kamon,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Akihito Saito,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hiroyuki Kiriyama,
Roles Data curation, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Mizuki Miura,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Shun Minatsuki,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hironobu Kikuchi,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Yasutomi Higashikuni,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Norifumi Takeda,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Katsuhito Fujiu,
Roles Writing – review & editing
Affiliations Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan, Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
⨯ -
Jiro Ando,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hiroshi Akazawa,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ -
Hiroyuki Morita,
Roles Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ - [ ... ],
-
Issei Komuro
Roles Supervision, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan
⨯ - [ view all ]
- [ view less ]
Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features
- Shinnosuke Sawano,
- Satoshi Kodera,
- Masataka Sato,
- Susumu Katsushika,
- Issei Sukeda,
- Hirotoshi Takeuchi,
- Hiroki Shinohara,
- Atsushi Kobayashi,
- Hiroshi Takiguchi,
- Kazutoshi Hirose
- Published: October 27, 2022
- https://doi.org/10.1371/journal.pone.0276928