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Naomasa Okimoto

NO

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Publications

5

Citations

101

H-Index

5

Active since

2013

Affiliations

The University of Tokyo(Current)

Naomasa Okimoto is an author at The University of Tokyo specializing in natural sciences, cellular biochemistry, and molecular signaling.

ORCID

Top concepts

Publications per year

2013–2025

5

Publications

5

Effects of deep learning on radiologists’ and radiology residents’ performance in identifying esophageal cancer on CT

Koichiro Yasaka, Sosuke Hatano, Masumi Mizuki et al. · British Journal of Radiology · 2023 · 26 citations · Full text

Interaction of <scp>N</scp>ecl‐4/<scp>CADM</scp>4 with <scp>E</scp>rb<scp>B</scp>3 and integrin α<sub>6</sub>β<sub>4</sub> and inhibition of <scp>E</scp>rb<scp>B</scp>2/<scp>E</scp>rb<scp>B</scp>3 signaling and hemidesmosome disassembly

Hirokazu Sugiyama, Kiyohito Mizutani, Souichi Kurita et al. · Genes to Cells · 2013 · 25 citations · Full text

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Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction

Naomasa Okimoto, Koichiro Yasaka, Masafumi Kaiume et al. · Abdominal Radiology · 2023 · 24 citations · Full text

Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography

Naomasa Okimoto, Koichiro Yasaka, Nana Fujita et al. · Neuroradiology · 2023 · 14 citations · Full text

Efficacy of Fine-Tuned Large Language Model in CT Protocol Assignment as Clinical Decision-Supporting System

Noriko Kanemaru, Koichiro Yasaka, Naomasa Okimoto et al. · Journal of Imaging Informatics in Medicine · 2025 · 12 citations · Full text

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