Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

2,965 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Validation of a computed tomography diagnostic model for differentiating fibrotic hypersensitivity pneumonitis from idiopathic pulmonary fibrosis.
Sumikawa H, Komiya K, Egashira R, Tominaga J, Ueno M, Fukuda T, Yamada D, Takei R, Kataoka K, Kimura T, Kondoh Y, Ejima M, Shimamura T, Tateishi T, Tomioka H, Miyazaki Y, Suda T, Johkoh T. Sumikawa H, et al. Among authors: ueno m. Respir Investig. 2024 Sep;62(5):798-803. doi: 10.1016/j.resinv.2024.07.002. Epub 2024 Jul 11. Respir Investig. 2024. PMID: 38996781
Stepwise diagnostic algorithm for high-attenuation pulmonary abnormalities on CT.
Fukuda T, Egashira R, Ueno M, Hashisako M, Sumikawa H, Tominaga J, Yamada D, Fukuoka J, Misumi S, Ojiri H, Hatabu H, Johkoh T. Fukuda T, et al. Among authors: ueno m. Insights Imaging. 2023 Oct 20;14(1):177. doi: 10.1186/s13244-023-01501-x. Insights Imaging. 2023. PMID: 37857741 Free PMC article. Review.
Idiopathic dendriform pulmonary ossification as the phenotype of interstitial lung abnormalities: CT-pathologic correlation and prevalence.
Ueno M, Egashira R, Hashisako M, Fujimoto K, Fukuda T, Hayashida Y, Sumikawa H, Tominaga J, Tanaka T, Terasaki Y, Fukuoka J, Nishioka Y, Aoki T, Gabata T, Hatabu H, Johkoh T. Ueno M, et al. Jpn J Radiol. 2024 Sep;42(9):993-1002. doi: 10.1007/s11604-024-01590-8. Epub 2024 May 14. Jpn J Radiol. 2024. PMID: 38740642 Free PMC article.
The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.
Mawatari T, Hayashida Y, Katsuragawa S, Yoshimatsu Y, Hamamura T, Anai K, Ueno M, Yamaga S, Ueda I, Terasawa T, Fujisaki A, Chihara C, Miyagi T, Aoki T, Korogi Y. Mawatari T, et al. Among authors: ueno m. Eur J Radiol. 2020 Sep;130:109188. doi: 10.1016/j.ejrad.2020.109188. Epub 2020 Jul 23. Eur J Radiol. 2020. PMID: 32721827
2,965 results