{"id":3167,"date":"2026-01-19T14:17:19","date_gmt":"2026-01-19T05:17:19","guid":{"rendered":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=3167"},"modified":"2026-06-01T13:59:31","modified_gmt":"2026-06-01T04:59:31","slug":"2026-2","status":"publish","type":"page","link":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/en\/2026-2\/","title":{"rendered":"Achievement-2026"},"content":{"rendered":"\n

Original Papers<\/h2>\n\n\n\n

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<\/em>, 2026;, rraf083,<\/p>\n\n\n\n

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<\/em>, 2026<\/p>\n\n\n\n

Ryohei Kato, Noriyuki Kadoya, Takahiro Kato, Ryota Tozuka, Shuta Ogawa, Masao Murakami, Keiichi Jingu, \u201dGeneralizability of deep learning\u2013based dose conversion model in proton beam therapy\u201c, The Journal of Applied Clinical Medical Physics, 2026<\/p>\n\n\n\n

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<\/em>, 2026<\/p>\n\n\n\n

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<\/em>, 2026<\/p>\n\n\n\n

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<\/em>, 2026<\/p>\n\n\n\n

\n

Domestic Conference<\/h2>\n\n\n\n
    \n
  • \u52a0\u85e4\u4eae\u5e73\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u5c0f\u5ddd\u67ca\u592a\u3001\u6751\u4e0a\u660c\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201dDevelopment of deep learning-based dose conversion model using generative adversarial network in proton beam therapy\u201d. \u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n\n\n\n
  • \u5c0f\u5ddd\u67ca\u592a\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u52a0\u85e4\u4eae\u5e73\u3001\u6238\u585a\u51cc\u592a\u3001\u6210\u7530\u512a\u8f1d\u3001\u5c0f\u5c71\u7fd4\u3001\u6751\u4e0a\u660c\u96c4\u3001\u795e\u5bae\u5553\u4e00.\u201dDeep learning-based dose prediction in proton beam therapy for hepatocellular carcinoma: Comparison of loss functions\u201d.\u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n\n\n\n
  • \u6238\u585a\u51cc\u592a\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6cf0\u6c38\u65b0\u3001\u9f4b\u85e4\u6b63\u82f1\u3001\u5c0f\u5bae\u5c71\u8cb4\u53f2\u3001\u6839\u672c\u5149\u3001\u5b89\u85e4\u82f1\u4fca\u3001\u5927\u897f\u535a\u3001\u795e\u5bae\u5553\u4e00.\u201dDevelopment of an Automatic GTV Segmentation Model for Early-Stage Lung Cancer Using Fractal Structure-based Transfer Learnins\u201d.\u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n\n\n\n
  • 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 <\/li>\n\n\n\n
  • \u9ad8\u6a4b\u79c0\u4f91\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u7532\u8cc0\u8056\u4e5f\u3001\u4e2d\u689d\u822a\u5e0c\u3001\u4e39\u91ce\u967d\u7fd4\u3001\u7530\u4e2d\u7965\u5e73\u3001\u9ad8\u6a4b\u7d00\u5584\u3001\u5c71\u672c\u8cb4\u4e5f\u3001\u6885\u6fa4\u73b2\u3001\u795e\u5bae\u5553\u4e00. \u201cDosimetric Characteristics of Hybrid Intracavitary\/Interstitial Brachytherapy Using the Geneva Applicator for Gynecologic Cases\u201d. \u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n\n\n\n
  • 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<\/li>\n\n\n\n
  • \u4e39\u91ce\u967d\u7fd4\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u9ad8\u6a4b\u79c0\u4f91\u3001\u7532\u8cc0\u8056\u4e5f\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u7530\u4e2d\u7965\u5e73\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u5c71\u672c\u8cb4\u4e5f\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00.”Evaluating the capability of large language models in radiotherapy through professional certification examinations in Japan”.\u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n\n\n\n
  • \u4e2d\u689d\u822a\u5e0c\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u661f\u91ce\u5927\u5730\u3001\u7530\u4e2d\u7965\u5e73\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u9ad8\u6a4b\u7d00\u5584\u3001\u5c71\u672c\u8cb4\u4e5f\u3001\u6885\u6fa4\u73b2\u3001\u795e\u5bae\u5553\u4e00. \u201cDevelopment of Extended Virtual Phantom Set for Enhancing Adaptability in Zero-Prep MR-Linac Workflow\u201d. \u7b2c131\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2026.4 \u6a2a\u6d5c<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n

    International Conference<\/h2>\n\n\n\n

    Award<\/h2>\n\n\n\n

    \u5275\u751f\u5fdc\u7528\u533b\u5b66\u7814\u7a76\u30bb\u30f3\u30bf\u30fc AI\u5fdc\u7528\u533b\u5b66\u90e8\u9580\u82e5\u624b\u75c7\u4f8b\u7814\u7a76\u300c\u81e8\u5e8a\u8a18\u9332\u878d\u5408\u578bAI\u81ea\u52d5\u6cbb\u7642\u8a08\u753b\u6cd5\u306e\u958b\u767a\u300d\uff08\u9ad8\u6a4b\u79c0\u4f91\u300150\u4e07\u5186\uff09<\/p>\n\n\n\n

    <\/p>\n\n\n\n

    Invited talk & Symposium<\/h2>\n\n\n\n

    Grant<\/h2>\n\n\n\n

    \u5275\u751f\u5fdc\u7528\u533b\u5b66\u7814\u7a76\u30bb\u30f3\u30bf\u30fc AI\u5fdc\u7528\u533b\u5b66\u90e8\u9580\u82e5\u624b\u75c7\u4f8b\u7814\u7a76\u300c\u81e8\u5e8a\u8a18\u9332\u878d\u5408\u578bAI\u81ea\u52d5\u6cbb\u7642\u8a08\u753b\u6cd5\u306e\u958b\u767a\u300d\uff08\u9ad8\u6a4b\u79c0\u4f91\u300150\u4e07\u5186\uff09<\/p>\n\n\n\n

    \u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u3000\u57fa\u76e4C \u300c\u81e8\u5e8a\u8a18\u9332\u878d\u5408\u578bAI\u81ea\u52d5\u653e\u5c04\u7dda\u6cbb\u7642\u8a08\u753b\u6cd5\u306e\u958b\u767a\u300d\uff082026\u5e744\u6708\uff5e2029\u5e743\u6708\u3001\u7814\u7a76\u4ee3\u8868\u8005 \u89d2\u8c37\u502b\u4e4b 455\u4e07\u5186\uff09<\/p>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    Original Papers 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 […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-achievement.php","meta":{"_locale":"en_US","_original_post":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=3158","footnotes":""},"class_list":["post-3167","page","type-page","status-publish","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/3167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/comments?post=3167"}],"version-history":[{"count":8,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/3167\/revisions"}],"predecessor-version":[{"id":3338,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/3167\/revisions\/3338"}],"wp:attachment":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/media?parent=3167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}