{"id":2509,"date":"2024-05-20T15:49:37","date_gmt":"2024-05-20T06:49:37","guid":{"rendered":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=2509"},"modified":"2025-04-18T12:29:05","modified_gmt":"2025-04-18T03:29:05","slug":"achievement-2024","status":"publish","type":"page","link":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/en\/achievement-2024\/","title":{"rendered":"Achievement-2024"},"content":{"rendered":"\n<h2 class=\"wp-block-heading blue-line\">Original Papers<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tozuka R, Kadoya N, Kazuhiro A, Kiyokazu S, Jingu K, \u201cAssessment of the deep learning-based gamma passing rate prediction system for 1.5 T magnetic resonance-guided linear accelerator\u201d, Radiol Phys Technol. 2024.4<\/li>\n\n\n\n<li>Noriyuki Kadoya,&nbsp;Kazuhiro Arai,&nbsp;Shohei Tanaka,&nbsp;Yuto Kimura,&nbsp;Ryota Tozuka,&nbsp;Keisuke Yasui,&nbsp;Naoki Hayashi,&nbsp;Yoshiyuki Katsuta,&nbsp;Haruna Takahashi,&nbsp;Koki Inoue,&nbsp;Keiichi Jingu, &#8220;Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam&#8221;, Radiol Phys Technol. 2024.9<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Domestic Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6797 \u5343\u8389, \u89d2\u8c37 \u502b\u4e4b, \u52dd\u7530\u7fa9\u4e4b, \u65b0\u4e95\u4e00\u5f18, \u7530\u4e2d \u7965\u5e73 ,\u4f50\u85e4 \u6e05\u548c, \u795e\u5bae \u5553\u4e00.\u201c\u982d\u981a\u90e8\u764c\u60a3\u8005\u306b\u304a\u3051\u308b\uff12\u7a2e\u985e\u306eAI\u30d9\u30fc\u30b9\u81ea\u52d5\u8f2a\u90ed\u62bd\u51fa\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u81e8\u5e8a\u7684\u7cbe\u5ea6\u8a55\u4fa1\u6bd4\u8f03\u201d.\u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.11<\/li>\n\n\n\n<li>\u4f50\u85e4\u6ec9\u665f, \u89d2\u8c37\u502b\u4e4b, \u6238\u585a\u51cc\u592a, \u6797\u5343\u8389, \u52dd\u7530\u7fa9\u4e4b, \u65b0\u4e95\u4e00\u5f18, \u7530\u4e2d\u7965\u5e73, \u795e\u5bae\u5553\u4e00.<br>\u201c\u7537\u6027\u306e\u9aa8\u76e4\u90e8\u306b\u304a\u3051\u308b\u975e\u5178\u578b\u75c7\u4f8b\u306b\u5bfe\u3059\u308b\u8ffd\u52a0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u81ea\u52d5\u8f2a\u90ed\u62bd\u51fa\u306e\u6539\u5584\u5ea6\u8a55\u4fa1\u201d.\u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.11<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u6b66\u7409,\u89d2\u8c37\u502b\u4e4b,\u6238\u585a\u51cc\u592a,\u8fd1\u85e4\u6b63\u8f1d,\u7530\u4e2d\u7965\u5e73,\u65b0\u4e95\u4e00\u5f18,\u52dd\u7530\u7fa9\u4e4b,\u795e\u5bae\u5553\u4e00.\u201d\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u30d5\u30eb\u30aa\u30fc\u30c8\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306e\u7cbe\u5ea6\u8a55\u4fa1\u201d.\u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.11<\/li>\n\n\n\n<li>\u9ad8\u6a4b\u79c0\u4f91,\u65b0\u4e95\u4e00\u5f18,\u89d2\u8c37\u502b\u4e4b,\u7530\u4e2d\u7965\u5e73,\u52dd\u7530\u7fa9\u4e4b,\u661f\u91ce\u5927\u5730,\u5b89\u4e95\u5553\u7950,\u6797\u76f4\u6a39,\u795e\u5bae\u5553\u4e00. \u201d\u8a00\u8a9e\u751f\u6210AI\u306e\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u95a2\u3059\u308b\u77e5\u8b58\u7fd2\u719f\u5ea6\u8abf\u67fb\u53ca\u3073RAG\u306b\u3088\u308b\u7cbe\u5ea6\u5411\u4e0a\u6027\u8a55\u4fa1\u201d.\u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.11<\/li>\n\n\n\n<li>\u4f50\u85e4\u6ec9\u665f, \u89d2\u8c37\u502b\u4e4b, \u6238\u585a\u51cc\u592a, \u6797\u5343\u8389, \u52dd\u7530\u7fa9\u4e4b, \u65b0\u4e95\u4e00\u5f18, \u7530\u4e2d\u7965\u5e73, \u795e\u5bae\u5553\u4e00. \u201d2\u7a2e\u985e\u306e\u6df1\u5c64\u5b66\u7fd2\u30d9\u30fc\u30b9\u81ea\u52d5\u8f2a\u90ed\u62bd\u51fa\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u982d\u9838\u90e8\u764c\u60a3\u8005\u306b\u304a\u3051\u308b\u81e8\u5e8a\u7684\u7cbe\u5ea6\u6bd4\u8f03\u201d, \u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a, 2024.10<\/li>\n\n\n\n<li>\u9ad8\u6a4b \u79c0\u4f91&nbsp; \u3001\u65b0\u4e95\u3000\u4e00\u5f18&nbsp; \u3001\u89d2\u8c37\u3000\u502b\u4e4b&nbsp; \u3001\u7530\u4e2d\u3000\u7965\u5e73&nbsp; \u3001\u52dd\u7530\u3000\u7fa9\u4e4b \u3001\u6b66\u7530\u8ce2\u3001\u9ad8\u57ce\u4e45\u9053\u3001\u795e\u5bae\u3000\u5553\u4e00. &#8220;\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u653e\u5c04\u7dda\u6cbb\u7642\u6280\u8853\u306b\u95a2\u3059\u308b\u7406\u89e3\u5ea6\u8a55\u4fa1&#8221;, \u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a, 2024.10<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u6b66\u7409\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u8fd1\u85e4\u6b63\u8f1d\u3001\u7530\u4e2d\u7965\u5e73\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u795e\u5bae\u5553\u4e00.\u201d\u9032\u884c\u80ba\u764c\u306b\u5bfe\u3059\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u81ea\u52d5\u653e\u5c04\u7dda\u77e5\u616e\u8a08\u753b\u306e\u5b9f\u884c\u53ef\u80fd\u6027\u201d., \u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a, 2024.10<\/li>\n\n\n\n<li>\u8fd1\u85e4\u6b63\u8f1d\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u661f\u91ce\u5927\u5730\u3001\u7530\u4e2d\u7965\u5e73\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u795e\u5bae\u5553\u4e00.\u201d\u30de\u30eb\u30c1\u30d9\u30f3\u30c0\u30fc\u5bfe\u5fdc\u578b\u653e\u5c04\u7dda\u6cbb\u7642\u8a08\u753b\u624b\u6cd5\u306e\u521d\u671f\u691c\u8a0e\u201d., \u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a, 2024.10<\/li>\n\n\n\n<li>\u6797\u5343\u8389\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u7530\u4e2d\u7965\u5e73\u3001\u4f50\u85e4\u6e05\u548c\u3001\u795e\u5bae\u5553\u4e00.\u201d2\u7a2e\u985e\u306e\u6df1\u5c64\u5b66\u7fd2\u30d9\u30fc\u30b9\u81ea\u52d5\u8f2a\u90ed\u62bd\u51fa\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u524d\u7acb\u817a\u304c\u3093\u60a3\u8005\u306b\u304a\u3051\u308b\u81e8\u5e8a\u7684\u7cbe\u5ea6\u6bd4\u8f03\u201d, \u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a, 2024.10<\/li>\n\n\n\n<li>\u7530\u4e2d\u7965\u5e73\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u9ad8\u6a4b\u7d00\u5584\u3001\u8096\u7389\u6749\u3001\u661f\u91ce\u5927\u5730\u3001Wingyi Lee\u3001\u795e\u5bae\u5553\u4e00.\u201dMR-Linac\u306b\u304a\u3051\u308b\u7167\u5c04\u4e2d\u306e\u81d3\u5668\u306e\u79fb\u52d5\u91cf\u3068\u6295\u4e0e\u7dda\u91cf\u5206\u5e03\u3078\u306e\u5f71\u97ff\u201d.\u7b2c3\u56de\u65e5\u672cMR\u753b\u50cf\u8a98\u5c0e\u9069\u5fdc\u653e\u5c04\u7dda\u6cbb\u7642\u7814\u7a76\u4f1a. 2024.7 \u5927\u962a<\/li>\n\n\n\n<li>\u52a0\u85e4\u4eae\u5e73\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u7af9\u5185\u745b\u5f66\u3001\u5c0f\u68ee\u614e\u4e5f\u3001\u672c\u67f3\u667a\u7ae0\u3001\u5c71\u5d0e\u96c4\u5e73\u3001\u6210\u7530\u512a\u8f1d\u3001\u5c0f\u677e\u4fca\u4ecb\u3001\u795e\u5bae\u5553\u4e00\u3001\u9ad9\u4e95\u826f\u5c0b\uff0e&#8221;\u982d\u9838\u90e8\u764cBNCT\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u4f7f\u7528\u3057\u305f\u7dda\u91cf\u8a08\u7b97\u306e\u9ad8\u901f\u5316\u3068\u7cbe\u5ea6\u306e\u5411\u4e0a&#8221;\uff0e\u7b2c20\u56de\u65e5\u672c\u4e2d\u6027\u5b50\u6355\u6349\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff0e2024.7 \u9ad8\u69fb<\/li>\n\n\n\n<li>\u6238\u585a\u51cc\u592a\u3001\u6728\u6751\u7950\u5229\u3001\u9f4b\u85e4\u6b63\u82f1\u3001\u6839\u672c\u5149\u3001\u5c0f\u5bae\u5c71\u8cb4\u53f2\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u5927\u897f\u6d0b. &#8220;\u80ba\u764c\u5b9a\u4f4d\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bAI\u30d9\u30fc\u30b9\u81ea\u52d5\u6cbb\u7642\u8a08\u753b\u652f\u63f4\u30d7\u30ed\u30bb\u30b9\u306e\u7cbe\u5ea6\u691c\u8a3c&#8221;.&nbsp;\u7b2c33\u56de\u65e5\u672c\u5b9a\u4f4d\u653e\u5c04\u7dda\u6cbb\u7642\u5b66\u4f1a. 2024.6 \u6a2a\u6d5c<\/li>\n\n\n\n<li>LEE Wynn Wingyi\u3001\u6885\u6fa4\u73b2\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u795e\u5bae\u5553\u4e00. &#8220;\u5316\u5b66\u653e\u5c04\u7dda\u7642\u6cd5\u3092\u4f75\u7528\u3057\u305f\u5b50\u5bae\u9838\u764c\u60a3\u8005\u306e\u7121\u5897\u60aa\u751f\u5b58\u7387MRI-based Radiomics\u4e88\u5f8c\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a&#8221;. \u5c0f\u7dda\u6e90\u6cbb\u7642\u90e8\u4f1a\u7b2c26\u56de\u5b66\u8853\u5927\u4f1a. 2024.05 \u7fa4\u99ac<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u6b66\u7409\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u8fd1\u85e4\u6b63\u8f1d\u3001\u7530\u4e2d\u7965\u5e73\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u795e\u5bae\u5553\u4e00.\u201dEvaluation of automated treatment planning software using deep learning for advanced lung cancer patients\u201d.\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2024.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u6797\u5343\u8389\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u7530\u4e2d\u7965\u5e73\u3001\u4f50\u85e4\u6e05\u548c\u3001\u795e\u5bae\u5553\u4e00.\u201dComparison of two different deep learning-based automatic contouring software for prostate cancer patients\u201d.\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2024.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u8fd1\u85e4\u6b63\u8f1d\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u661f\u91ce\u5927\u5730\u3001\u7530\u4e2d\u7965\u5e73\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u795e\u5bae\u5553\u4e00.\u201dDevelopment of MVCA-Planning \uff08Multi-Vendor Compatible AI Planning) for elimination of cancer-care disparities for radiation\u201d.\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2024.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u9ad8\u6a4b\u6625\u5948\u3001\u7530\u4e2d\u7965\u5e73\u3001\u4f50\u85e4\u6e05\u548c\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u8096\u7389\u6749\u3001\u795e\u5bae\u5553\u4e00.\u201dReport on confirmation of dose distribution due to version upgrades of the treatment planning system\u201d.\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2024.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u52a0\u85e4\u4eae\u5e73\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u6238\u585a\u51cc\u592a\u3001\u5c0f\u5ddd\u67ca\u592a\u3001\u6751\u4e0a\u660c\u96c4\u3001\u795e\u5bae\u5553\u4e00\uff0e&#8221;Development of fast and accurate deep learning-based dose calculation algorithm in proton therapy&#8221;\uff0e\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff0e2024.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u6797\u5343\u8389\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u7530\u4e2d\u7965\u5e73\u3001\u4f50\u85e4\u6e05\u548c\u3001\u795e\u5bae\u5553\u4e00.\u201d\u524d\u7acb\u817a\u764c\u60a3\u8005\u306b\u304a\u3051\u308b2\u7a2e\u985e\u306e\u6df1\u5c64\u5b66\u7fd2\u30d9\u30fc\u30b9\u81ea\u52d5\u8f2a\u90ed\u62bd\u51fa\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u81e8\u5e8a\u7684\u7cbe\u5ea6\u8a55\u4fa1\u6bd4\u8f03\u201d.\u7b2c37\u56de\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a\u5b66\u8853\u5927\u4f1a. 2024. 3&nbsp;\u6771\u4eac<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">International Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Wynn Wingyi LEE, Rei UMEZAWA, Noriyuki KADOYA, Keiichi JINGU. &#8220;MRI-based Radiomics Nomogram for Progression-Free Survival in Cervical Cancer Patients Treated With Concurrent Chemoradiotherapy&#8221;. The 10th Japan-Korea Joint Meeting on Medical Physics. 2024.9 Nagoya<\/li>\n\n\n\n<li>Zhoujie Zhang, Noriyuki Kadoya, Ryota Tozuka, Taichi Hoshino, Kazuhiro Arai, Keiichi Jingu.&#8221;Accuracy Evaluation of AI auto segmentation models U-Net and UNETR for Abdominal Organs in Resource-Constrained Settings&#8221;.The 10th Japan-Korea Joint Meeting on Medical Physics. 2024.9 Nagoya<\/li>\n\n\n\n<li>Shinichi Tanaka, Noriyuki Kadoyai, Keiichi Jingu.&#8221;Prediction of Gleason Pattern of Prostate Cancer by Local Radiomics Approach&#8221;.The 10th Japan-Korea Joint Meeting on Medical Physics. 2024.9 Nagoya<\/li>\n\n\n\n<li>Ryohei Kato, Noriyuki Kadoya, Takahiro Kato, Ryota Tozuka, Syuta Ogawa, Masao Murakami, Keiichi Jingu  .&#8221;Development of a deep learning-based dose conversion model adopted for various tumor sites in proton beam therapy&#8221;.The 10th Japan-Korea Joint Meeting on Medical Physics. 2024.9 Nagoya<\/li>\n\n\n\n<li>Wynn Wingyi LEE, Noriyuki KADOYA, Shohei TANAKA and Keiichi JINGU. &#8220;Integration of Homology-Based Model into Whole-Lung CT Based Multi-Omics Analysis for Radiation Pneumonitis Prognosis in NSCLC Stage III Patients&#8221;. AAPM 66th Annual Meeting &amp; Exhibition. 2024.07 Los Angeles<\/li>\n\n\n\n<li>Wynn Wingyi Lee, Noriyuki Kadoya, Shohei Tanaka, Taichi Hoshino, Ryota Tozuka, Yoshi Katsuta, Keiichi Jingu. &#8220;Homology-based -omics model for radiation pneumonitis in NSCLC stage III patients using whole-lung CT: A more comprehensive way in disease prognosis&#8221;. The 3rd ICRPT. 2024.04 Yokohama<\/li>\n\n\n\n<li>\u9ad8\u6a4b\u79c0\u4f91\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u7530\u4e2d\u7965\u5e73\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u661f\u91ce\u5927\u5730\u3001\u5b89\u4e95\u5553\u7950\u3001\u6797\u76f4\u6a39\u3001\u795e\u5bae\u5553\u4e00. \u201dEvaluation the performance for answering of Language Generative Artificial Intelligence for Japanese medical physicist board examination and evaluation of accuracy improvement by Retrieval-Augmented Generation\u201d.\u7b2c24\u56de\u30a2\u30b8\u30a2\u30fb\u30aa\u30bb\u30a2\u30cb\u30a2\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.9<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u6b66\u7409\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6238\u585a\u51cc\u592a\u3001\u8fd1\u85e4\u6b63\u8f1d\u3001\u7530\u4e2d\u7965\u5e73\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u52dd\u7530\u7fa9\u4e4b\u3001\u795e\u5bae\u5553\u4e00. \u201dEvaluation of automated treatment planning software using deep learning for advanced non-small cell lung cancer patients\u201d.\u7b2c24\u56de\u30a2\u30b8\u30a2\u30fb\u30aa\u30bb\u30a2\u30cb\u30a2\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.9<\/li>\n\n\n\n<li>Shuta Ogawa, Noriyuki Kadoya, Takahiro Kato, Ryohei Kato, Ryota Tozuka, Yuki Narita, Sho Oyama, Masao Murakami, Keiichi Jingu .\u201dEvaluation of deep learning-based dose distribution prediction for proton therapy in hepatocellular carcinoma patients\u201d. The 10th Japan-Korea Joint Meeting on Medical Physics. 2024.9 Nagoya<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Award<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6797\u5343\u5229, \u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3000\u5b66\u751f\u5968\u52b1\u8cde<\/li>\n\n\n\n<li>\u8fd1\u85e4\u6b63\u8f1d, \u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3000\u5b66\u751f\u5968\u52b1\u8cde<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u6b66\u7409, \u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3000\u5b66\u751f\u5968\u52b1\u8cde<\/li>\n\n\n\n<li>Wynn Wingyi LEE, \u7b2c10\u56de\u65e5\u97d3\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3000Young Investigator Award<\/li>\n\n\n\n<li>\u52a0\u85e4\u4eae\u5e73, \u7b2c10\u56de\u65e5\u97d3\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3000Best Poster Award<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b, \u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a, JRR\u8a8c\u512a\u79c0\u8ad6\u6587\u8cde<\/li>\n\n\n\n<li>\u68b6\u5ddd\u667a\u535a, \u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a, Highly cited award<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Invited talk &amp; Symposium<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6238\u585a\u51cc\u592a. &#8220;\u300e\u52dd\u624b\u306b\u30d4\u30c3\u30af\u30a2\u30c3\u30d7\u300f~\u5b66\u4f1a\u8cde\u3068\u30cf\u30a4\u30a4\u30f3\u30d1\u30af\u30c8\u30d5\u30a1\u30af\u30bf\u30fc\u8ad6\u6587~ JSMP \u5927\u4f1a\u9577\u8cde&#8221;. \u7b2c11\u56de\u5148\u7aef\u6280\u8853\u7814\u7a76\u4f1a. 2024.1 \u30aa\u30f3\u30e9\u30a4\u30f3<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b&#8221;\u533b\u7528\u753b\u50cf\u60c5\u5831\u7814\u7a76\u306e10\u5e74\u5f8c\u3092\u8996\u308b\u30fb\u8a9e\u308b\uff1a70\u5468\u5e74\u306b\u5411\u3051\u3066&#8221;.\u7b2c200\u56de\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a.2024.8<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b&#8221;Current status of AI based automated planning and virtual patient-specific QA in radiotherapy&#8221;. \u7b2c24\u56de\u30a2\u30b8\u30a2\u30fb\u30aa\u30bb\u30a2\u30cb\u30a2\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a.2024.9<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Grant<\/h2>\n\n\n\n<p>\u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u3000\u57fa\u76e4C \u300c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u305f\u751f\u6210\u7cfbAI\u306b\u3088\u308bAI\u642d\u8f09\u578b\u6cbb\u7642\u65b9\u91dd\u6c7a\u5b9a\u652f\u63f4\u30c4\u30fc\u30eb\u306e\u958b\u767a\u300d(2024\u5e744\u6708\uff5e2026\u5e743\u6708\u3001\u7814\u7a76\u4ee3\u8868\u8005 \u65b0\u4e95\u4e00\u5f18 468\u4e07\u5186<\/p>\n\n\n\n<p>\u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u3000\u57fa\u76e4C \u300c\u5c11\u6570\u5b66\u7fd2\u30c7\u30fc\u30bf\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u809d\u7d30\u80de\u764c\u306b\u5bfe\u3059\u308b\u967d\u5b50\u7dda\u6cbb\u7642\u8a08\u753b\u81ea\u52d5\u751f\u6210\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u300d(2024\u5e744\u6708\uff5e2027\u5e743\u6708\u3001\u7814\u7a76\u4ee3\u8868\u8005 \u5c0f\u5ddd\u67ca\u592a 455\u4e07\u5186<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Original Papers Domestic Conference International Conference Award Invited talk &amp; Symposium Grant \u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u3000\u57fa\u76e4C \u300c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u305f\u751f\u6210\u7cfbAI\u306b\u3088\u308bAI\u642d\u8f09\u578b\u6cbb\u7642\u65b9\u91dd\u6c7a\u5b9a\u652f\u63f4\u30c4\u30fc\u30eb\u306e\u958b\u767a\u300d(2024\u5e744\u6708\uff5e2026\u5e743\u6708\u3001\u7814\u7a76\u4ee3\u8868\u8005 \u65b0\u4e95\u4e00\u5f18 468\u4e07\u5186 \u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u3000\u57fa\u76e4C \u300c\u5c11\u6570\u5b66\u7fd2\u30c7\u30fc\u30bf\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u809d\u7d30\u80de\u764c\u306b\u5bfe\u3059\u308b\u967d\u5b50\u7dda\u6cbb\u7642\u8a08\u753b\u81ea\u52d5\u751f\u6210\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u300d(2024\u5e744\u6708\uff5e2027\u5e743\u6708\u3001\u7814\u7a76\u4ee3\u8868\u8005 \u5c0f\u5ddd\u67ca\u592a 455\u4e07\u5186<\/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=2498","footnotes":"[]"},"class_list":["post-2509","page","type-page","status-publish","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/2509","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=2509"}],"version-history":[{"count":13,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/2509\/revisions"}],"predecessor-version":[{"id":2863,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/2509\/revisions\/2863"}],"wp:attachment":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/media?parent=2509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}