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J-GLOBAL ID：202101021314255799
Update date: Dec. 09, 2024 Anetai Yusuke
アネタイ ユウスケ | Anetai Yusuke
Clips
Kansai Medical University Department of Radiology
About Kansai Medical University Department of Radiology
Job title： Associate Professor
Research theme for competitive and other funds (2)：
- 2024 - 2027 Development of Radiology/Radiation Oncology-specific large language model
- 2018 - 2022 A comprehensive study to enhance the radiotherapeutic plan quality using the whole dose distribution
- Yusuke Anetai, Kentaro Doi, Hideki Takegawa, Yuhei Koike, Midori Yui, Asami Yoshida, Kazuki Hirota, Ken Yoshida, Teiji Nishio, Jun'ichi Kotoku, et al. Diffusion equation quantification: selective enhancement algorithm for bone metastasis lesions in CT images. Physics in Medicine and Biology. 2024. 69. 24
- Yuhei Koike, Hideki Takegawa, Yusuke Anetai, Satoaki Nakamura, Ken Yoshida, Asami Yoshida, Midori Yui, Kazuki Hirota, Kenichi Ueda, Noboru Tanigawa. Cone-Beam CT to CT Image Translation Using a Transformer-Based Deep Learning Model for Prostate Cancer Adaptive Radiotherapy. Journal of imaging informatics in medicine. 2024
- Ken Yoshida, Yutaka Tanaka, Satoaki Nakamura, Asami Yoshida, Midori Yui, Kazuki Hirota, Katsuya Maebou, Zeyun Wang, Hideki Takegawa, Yusuke Anetai, et al. Combined external radiotherapy and single-fraction palliative high-dose-rate interstitial brachytherapy for a patient with a base of tongue cancer who had a previous radiation history. Oral radiology. 2024
- Yusuke Anetai, Jun'ichi Kotoku. A feasible dose-volume estimation of radiotherapy treatment with optimal transport using a concept for transportation of Ricci-flat time-varying dose-volume. arXiv. 2024
- Yuhei Koike, Shingo Ohira, Sayaka Kihara, Yusuke Anetai, Hideki Takegawa, Satoaki Nakamura, Masayoshi Miyazaki, Koji Konishi, Noboru Tanigawa. Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model. Journal of imaging informatics in medicine. 2024
- Tips for effective use in gEUD optimization objective while avoiding dose leverage effect: A case study for brain metastasis stereotactic radiotherapy. 2024. 44. Sup.1
- How to evaluate the high dose-gradient region: A proposition method using Lie derivative. Japanese Journal of Medical Physics. 2024. 44. Sup.1
- 筒井 保裕, 姉帯 優介, 冨田 祐士, 須藤 淳, 山田 優二. 多次元尺度法を用いたガフクロミックフィルム間の品質評価. 日本放射線腫瘍学会 第36回高精度放射線外部照射部会学術大会 抄録. 2024
- 秋田 光祐, 吉田 謙, 中村 聡明, 吉田 麻美, 由井 緑, 重山 謙, 寺田 圭那, 姉帯 優介, 小池 優平, 谷川 昇. 98歳・認知症・多動がある手指皮膚癌患者への単回照射. Japanese Journal of Radiology. 2024. 42. Suppl. 38-38
- 廣田香月, 中村聡明, 吉田 謙, 吉田麻美, 由井 緑, 武川英樹, 姉帯優介, 小池優平, 上田憲一, 谷川 昇. 婦人科腫瘍のオリゴリンパ節再発に対する救済放射線治療. 日本放射線腫瘍学会 第36回学術大会報文集. 2023
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gEUDを用いた効率的な最適化
(VARIAN JPN WSJ101 -gEUD Optimization- ワークショップ 2024) -
Tips for effective use in gEUD optimization objective while avoiding dose leverage effect: A case study for brain metastasis stereotactic radiotherapy
(2024) -
How to evaluate the high dose-gradient region: A proposition method using Lie derivative
(2024) -
IMRTにおける患者QA実態調査アンケート-測定ベースTG-218ガイドラインの普及-
(第79回日本放射線技術学会学術大会 専門部会(放射線治療部会) 2023) -
皮膚マーキングの現状と今後の展望
(第16回南九州地域放射線治療技術合同研究会 2023)
- 2014 - 2018 Osaka University Graduate School of Medicine Division of Medicine
- 2012 - 2014 Osaka University Graduate School of Medicine Division of Health Sciences
- 2008 - 2012 Osaka University Faculty of Medicine
- 博士(医学)(大阪大学)
- 2019/04 - 2024/03 日本医学物理学会 編集委員会
- 2019/04 - 2022/03 Japan Society of Medical Physics QAQC Committee Member
- 2022/09 - 日本医学物理学会第124回学術大会 大会長賞 金賞
- 2022/02 - Reviewer Certificate in 2021 (Medical Physics)
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