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Deep convolutional neural network for differentiating between sarcoidosis and lymphoma based on [18F]FDG maximum-intensity projection images.
Aoki H, Miyazaki Y, Anzai T, Yokoyama K, Tsuchiya J, Shirai T, Shibata S, Sakakibara R, Mitsumura T, Honda T, Furusawa H, Okamoto T, Tateishi T, Tamaoka M, Yamamoto M, Takahashi K, Tateishi U, Yamaguchi T. Aoki H, et al. Among authors: yokoyama k. Eur Radiol. 2024 Jan;34(1):374-383. doi: 10.1007/s00330-023-09937-x. Epub 2023 Aug 3. Eur Radiol. 2024. PMID: 37535157
Large vessel vasculitis: imaging standards of 18F-FDG PET/CT.
Tateishi U, Tsuchiya J, Yokoyama K. Tateishi U, et al. Among authors: yokoyama k. Jpn J Radiol. 2021 Mar;39(3):225-232. doi: 10.1007/s11604-020-01059-4. Epub 2020 Oct 27. Jpn J Radiol. 2021. PMID: 33106969 Review.
Phase I clinical study of NMB58, a novel positron emission tomography (PET)-myocardial perfusion imaging tracer, conducted to evaluate its safety and pharmacokinetics in Japanese healthy adult males.
Kawano M, Tsuchiya J, Bae H, Kimura K, Yokoyama K, Takahashi M, Honda M, Tominaga M, Tateishi U. Kawano M, et al. Among authors: yokoyama k. Ann Nucl Med. 2021 May;35(5):580-588. doi: 10.1007/s12149-021-01601-y. Epub 2021 Mar 1. Ann Nucl Med. 2021. PMID: 33649886
3,309 results