Development of a deep learning–based model for personal identification using postmortem CT and antemortem chest x-rays
- DOI
- 10.1016/j.forsciint.2026.113087
- Published
- 2026-11
- Container
- Forensic Science International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.forsciint.2026.113087,
title = {Development of a deep learning–based model for personal identification using postmortem CT and antemortem chest x-rays},
author = {Ryusei Inamori and Tomoya Kobayashi and Takaya Kawasumi and Hidekazu Kanayama and Yeji Kim and Yongsu Yoon and Yohei Inaba and Akihito Usui and Eichi Takaya and Yoshikazu Okamoto},
year = {2026},
journal = {Forensic Science International},
doi = {10.1016/j.forsciint.2026.113087},
url = {https://doi.org/10.1016/j.forsciint.2026.113087}
}RIS
TY - JOUR TI - Development of a deep learning–based model for personal identification using postmortem CT and antemortem chest x-rays AU - Ryusei Inamori AU - Tomoya Kobayashi AU - Takaya Kawasumi AU - Hidekazu Kanayama AU - Yeji Kim AU - Yongsu Yoon AU - Yohei Inaba AU - Akihito Usui AU - Eichi Takaya AU - Yoshikazu Okamoto PY - 2026 JO - Forensic Science International DO - 10.1016/j.forsciint.2026.113087 UR - https://doi.org/10.1016/j.forsciint.2026.113087 ER -
APA
Inamori, R., Kobayashi, T., Kawasumi, T., Kanayama, H., Kim, Y., Yoon, Y., Inaba, Y., Usui, A., Takaya, E., & Okamoto, Y. (2026). Development of a deep learning–based model for personal identification using postmortem CT and antemortem chest x-rays. Forensic Science International. https://doi.org/10.1016/j.forsciint.2026.113087
Source records
- crossref · retrieved 2026-09-27T00:41:18.934Z