Tsutomu Gomi, Kotomi Ishihara, Satoko Yamada, Yukio Koibuchi. Pre-Reconstruction Processing with the Cycle-Consist Generative Adversarial Network Combined with Attention Gate to Improve Image Quality in Digital Breast Tomosynthesis. Diagnostics (Basel, Switzerland). 2024. 14. 17
Yusuke Watanabe, Takuya Maeyama, Shinya Mizukami, Hidenobu Tachibana, Tsuyoshi Terazaki, Hideyuki Takei, Hiroshi Muraishi, Tsutomu Gomi, Shin-ichiro Hayashi. Verification of dose distribution in high dose-rate brachytherapy for cervical cancer using a normoxic N-vinylpyrrolidone polymer gel dosimeter. Journal of Radiation Research. 2022
Tsutomu Gomi, Yukie Kijima, Takayuki Kobayashi, Yukio Koibuchi. Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis. Diagnostics. 2022. 12. 2. 495-495
K. Inoue, Y. Watanabe, T. Maeyama, S. Mizukami, S. Hayashi, T. Terazaki, H. Muraishi, T. Gomi, T. Shimono. RSC: Dosimetry in high-dose-rate brachytherapy with a radio-fluorogenic gel dosimeter. Journal of Physics: Conference Series. 2022. 2167. 1. 012032-012032
Shinya Mizukami, Yusuke Watanabe, Takahiro Mizoguchi, Tsutomu Gomi, Hidetake Hara, Hideyuki Takei, Nobuhisa Fukunishi, Kenichi Ishikawa, Shigekazu Fukuda, Takuya Maeyama. Whole Three-Dimensional Dosimetry of Carbon Ion Beams with an MRI-Based Nanocomposite Fricke Gel Dosimeter Using Rapid T1 Mapping Method. Gels. 2021. 7. 4
Development of a self-care support system for cancer outpatients undergoing radiotherapy: introduction of clinical path functions. The Kitasato medical journal. 2010. 40. 1. 64-72
Evaluation of unsupervised low-dose digital breast tomosynthesis denoising using cycle-consistent generative adversarial network
(RSNA 2023 2023)
Usefulness of generative adversarial network-based low-dose digital breast tomosynthesis for image quality improvement
(RSNA 2022)
Development of a novel algorithm to improve image quality in chest digital tomosynthesis using convolutional neural network with super-resolution
(2021)
Development of a denoising convolutional neural network-based algorithm for metal artifact reduction in digital tomosynthesis
(SPIE Medical Imaging 2020)
Reduction of Metal Artifacts During Digital Tomosynthesis Reconstruction from Projection-Based Material Decomposition for Arthroplasty: A Phantom Study
(RSNA 2018)
2015/04 - 現在 Kitasato University School of Allied Health Sciences, Faculty of Medical Engineering and Technology
2010/04 - 2015/03 Kitasato University School of Allied Health Sciences, Faculty of Medical Engineering and Technology
2008/09 - 2012/09 The University of Tokyo Faculty of Medicine University Hospital, Department of Radiology
2007/04 - 2010/03 Kitasato University School of Allied Health Sciences, Faculty of Medical Engineering and Technology
1988/04 - 2007/03 Shinshu University Shinshu University Hospital
2003/09 - 2003/12 シカゴ大学 カートロスマン放射線像研究所 研究員
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Committee career (7)：
2020/08 - Biomed Research International Academic Editor (Section: Radiology)
2010/04 - 2016/03 日本放射線技術学会 代議員
2013/04 - 2015/03 日本放射線技術学会 表彰委員会 副委員長
2009/04 - 2015/03 日本放射線技術学会 出版委員会 委員
2007/04 - 2015/03 日本放射線技術学会 編集委員会企画班 班長
2007/04 - 2015/03 日本放射線技術学会 編集委員会 委員
2007/04 - 2013/03 日本放射線技術学会 表彰委員会 委員
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Awards (2)：
2009/04 - 医用画像情報学会 内田論文賞
2006/04 - 日本放射線技術学会 滝内賞
Association Membership(s) (5)：
日本乳癌検診学会
, 日本医用画像情報学会
, THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY
, JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY
, Radiological Society of North America
