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
Okawa Akiko, Umeda Tokuo, Gomi Tsutomu. 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)
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
(SPIE Medical Imaging 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)