Author

Hiroki Shinohara

The University of TokyoORCID 0000-0002-5903-8244Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Hiroshi AkazawaiD· 1 shared Hiroshi Matsunaga· 1 shared Hirotaka IekiiD· 1 shared Issei KomuroiD· 1 shared Kaoru ItoiD· 1 shared Katsuhito FujiuiD· 1 shared Kazuo MiyazawaiD· 1 shared Kouichi OzakiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Hiroshi AkazawaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 24, 2021

Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging

Hirotaka Ieki, Kaoru Ito, Mike Saji…·Issei Komuro

This paper develops a deep learning model to estimate patient age and sex from chest X-rays, finding that CXR age correlates with cardiovascular aging and disease outcomes.

5 citations

imagingdeep learning