Author = Shigeki Ito
Development of an automated region-of-interest-setting method based on a deep neural network for brain perfusion single photon emission computed tomography quantification methods

Articles in Press, Corrected Proof, Available Online from 20 January 2024

10.22038/aojnmb.2024.75375.1528

Taeko Tomimatsu; Kousuke Yamshita; Takumi Sakata; Ryosuke Kamezaki; Ryuji Ikeda; Shinya Shiraishi; Yoshikazu Uchiyama; Shigeki Ito


Development of an 123I-metaiodobenzylguanidine Myocardial Three-Dimensional Quantification Method for the Diagnosis of Lewy Body Disease

Volume 6, Issue 2, July 2018, Pages 129-138

10.22038/aojnmb.2018.10595

Yoshito Kamiya; Satoru Ota; Yuta Tanaka; Kosuke Yamashita; Akihiro Takaki; Shigeki Ito


A simple non-invasive I-123-IMP autoradiography method developed by modifying the simple non-invasive I-123-IMP microsphere method

Volume 6, Issue 1, January 2018, Pages 50-56

10.22038/aojnmb.2017.9555

Asato Ofuji; Rieko Nagaoka; Kosuke Yamashita; Akihiro Takaki; Shigeki Ito


Uptake index of 123I-metaiodobenzylguanidine myocardial scintigraphy for diagnosing Lewy body disease

Volume 5, Issue 1, January 2017, Pages 37-43

10.22038/aojnmb.2016.7972

Yoshito Kamiya; Satoru Ota; Shintaro Okumiya; Kosuke Yamashita; Akihiro Takaki; Shigeki Ito


Usefulness of an Automatic Quantitative Method for Measuring Regional Cerebral Blood Flow Using 99mTc Ethyl Cysteinate Dimer Brain Uptake Ratio

Volume 3, Issue 2, July 2015, Pages 77-82

10.7508/aojnmb.2015.02.002

Rieko Nagaoka; Asato Ofuji; Kosuke Yamashita; Taeko Tomimatsu; Shinnichi Orita; Akihiro Takaki; Yoshikazu Uchiyama; Shigeki Ito