学術論文
Noriyuki Kadoya, Yoshiyuki Takahashi, Seiya Koga, Hikaru Tanno, Kazuhiro Arai, Shohei Tanaka, Yoshiyuki Katsuta, Hinako Harada, So Omata, Takaya Yamamoto, Rei Umezawa, Ken Takeda, Keiichi Jingu, “Evaluating the capability of large language models in radiotherapy through professional certification examinations in Japan”, Journal of Radiation Research, 2026;, rraf083,
Takeru Nakajima, Noriyuki Kadoya, Ryota Tozuka, Masaki Kondo, Shohei Tanaka, Kazuhiro Arai, Yoshiyuki Katsuta, Taichi Hoshino, Takaya Yamamoto, Keiichi Jingu, “Evaluation of deliverable dose-mimicking automated volumetric arc radiation therapy planning for stage III non-small cell lung cancer patients: comparison with a commercial DVH-predicted automated planning system”, Journal of Radiation Research, 2026
Ryohei Kato, Noriyuki Kadoya, Takahiro Kato, Ryota Tozuka, Shuta Ogawa, Masao Murakami, Keiichi Jingu, ”Generalizability of deep learning–based dose conversion model in proton beam therapy“, The Journal of Applied Clinical Medical Physics, 2026
Shuta Ogawa, Noriyuki Kadoya, Takahiro Kato, Ryohei Kato, Ryota Tozuka, Yuki Narita, Sho Oyama, Masao Murakami, Keiichi Jingu, “Deep learning-based dose prediction in proton beam therapy for hepatocellular carcinoma: comparison of network architectures and loss functions”, Journal of Radiation Reasearch, 2026
Yoshiyuki Takahashi, Noriyuki Kadoya, Kazuhiro Arai, Hikaru Tanno, Shohei Tanaka, Yoshiyuki Katsuta, Taichi Hoshino, Hinako Harada, So Omata, Takaya Yamamoto, Rei Umezawa, Keisuke Yasui, Naoki Hayashi, Keiichi Jingu, “Feasibility of retrieval-augmented generation for large language models with Japanese input in radiotherapy”, Journal of Radiation Reasearch, 2026
Ryohei Kato, Noriyuki Kadoya, Takahiro Kato, Akihiko Takeuchi, Shinya Komori, Keiichi Jingu, Yoshihiro Takai, “Development of a practical and high-speed deep learning-based dose calculation model in boron neutron capture therapy for head and neck cancer”, Medical Physics, 2026
国内学会発表
- 加藤亮平、角谷倫之、加藤貴弘、小川柊太、村上昌雄、神宮啓一. ”Development of deep learning-based dose conversion model using generative adversarial network in proton beam therapy”. 第131回日本医学物理学会学術大会. 2026.4 横浜
- 小川柊太、角谷倫之、加藤貴弘、加藤亮平、戸塚凌太、成田優輝、小山翔、村上昌雄、神宮啓一.”Deep learning-based dose prediction in proton beam therapy for hepatocellular carcinoma: Comparison of loss functions”.第131回日本医学物理学会学術大会. 2026.4 横浜
- 戸塚凌太、角谷倫之、泰永新、齋藤正英、小宮山貴史、根本光、安藤英俊、大西博、神宮啓一.”Development of an Automatic GTV Segmentation Model for Early-Stage Lung Cancer Using Fractal Structure-based Transfer Learnins”.第131回日本医学物理学会学術大会. 2026.4 横浜
- Shinichi Tanaka, Noriyuki Kadoya, Keiichi Jingu, “Radiomics as non-linear local filters in deep learning: strengths and limitations”. The 5th International Conference on Radiological Physics. 2026.4 Yokohama
- 高橋秀侑、角谷倫之、甲賀聖也、中條航希、丹野陽翔、田中祥平、高橋紀善、山本貴也、梅澤玲、神宮啓一. “Dosimetric Characteristics of Hybrid Intracavitary/Interstitial Brachytherapy Using the Geneva Applicator for Gynecologic Cases”. 第131回日本医学物理学会学術大会. 2026.4 横浜
- Seiya Koga, Noriyuki Kadoya, Kosei Sato, Yoshiyuki Katsuta, Shohei Tanaka, Kazuhiro Arai, Taichi Hoshino, Keiichi Jingu.”Development of deep learning-based multi-modality segmentation of primary gross tumor volume for head and neck cancer”.The 5th International Conference on Radiological Physics. 2026.4 Yokohama
- 丹野陽翔、角谷倫之、高橋秀侑、甲賀聖也、新井一弘、田中祥平、勝田義之、山本貴也、武田賢、神宮啓一.”Evaluating the capability of large language models in radiotherapy through professional certification examinations in Japan”.第131回日本医学物理学会学術大会. 2026.4 横浜
- 中條航希、角谷倫之、星野大地、田中祥平、新井一弘、勝田義之、高橋紀善、山本貴也、梅澤玲、神宮啓一. “Development of Extended Virtual Phantom Set for Enhancing Adaptability in Zero-Prep MR-Linac Workflow”. 第131回日本医学物理学会学術大会. 2026.4 横浜
国際学会発表
受賞
創生応用医学研究センター AI応用医学部門若手症例研究「臨床記録融合型AI自動治療計画法の開発」（高橋秀侑、50万円）
招待講演
獲得した研究費
創生応用医学研究センター AI応用医学部門若手症例研究「臨床記録融合型AI自動治療計画法の開発」（高橋秀侑、50万円）
科学研究費補助金 基盤C 「臨床記録融合型AI自動放射線治療計画法の開発」（2026年4月～2029年3月、研究代表者 角谷倫之 455万円）