Author

Rei Kawakami

Tokyo Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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

Hiroki ShinoharaiD· 1 shared 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

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

Hiroki ShinoharaORCID

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1 paper

Recent·Most cited

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

Hirotaka Ieki, Kaoru Ito, Mike Saji, Rei Kawakami, Yuji Nagatomo, Satoshi Koyama, Hiroshi Matsunaga, Kazuo Miyazawa, Kouichi Ozaki, Yoshihiro Onouchi, Susumu Katsushika, Ryo Matsuoka, Hiroki Shinohara, Toshihiro Yamaguchi, Satoshi Kodera, , 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.

bioRxiv · Mar 24, 2021 · PreprintBioinformatics