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Annals of Nuclear Medicine|August 1, 2022
Deep-learning prediction of amyloid deposition from early-phase amyloid positron emission tomography imagingSeisaku Komori, Donna J Cross, Megan Mills, et al.
Acta Medica Okayama|June 28, 2021
Texture Indices of 18F-FDG PET/CT for Differentiating Squamous Cell Carcinoma and Non-Hodgkin's Lymphoma of the OropharynxKatsuya Mitamura, Takashi Norikane, Yuka Yamamoto, et al.
EJNMMI Research|December 9, 2020
Disease activity and response to therapy monitored by [18F]FDG PET/CT using volume-based indices in IgG4-related diseaseKatsuya Mitamura, Hanae Arai-Okuda, Yuka Yamamoto, et al.
Annals of Nuclear Medicine|November 13, 2025
Resolution and quality enhancement of SPECT cerebral blood flow images using Pix2pix deep learningNobuyuki Kudomi, Katsuya Mitamura, Yukito Maeda, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|March 21, 2026
A reference-based approach using whole-brain segmentation for image-derived PET input functions in CBF, OEF, and CMRO2 quantificationNobuyuki Kudomi, Yukito Maeda, Takuya Kobata, et al.
EJNMMI Physics|March 31, 2021
Effect of quantitative values on shortened acquisition duration in brain tumor 11C-methionine PET/CTMasatoshi Morimoto, Nobuyuki Kudomi, Yukito Maeda, et al.
Japanese Journal of Radiology|June 18, 2025
Beyond resection: imaging findings of expected and complicated postoperative changes in lung cancerMakiko Murota, Takashi Norikane, Mariko Ishimura, et al.
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