{"id":1419,"date":"2023-09-28T09:17:00","date_gmt":"2023-09-28T00:17:00","guid":{"rendered":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/?page_id=1419"},"modified":"2023-09-28T09:17:00","modified_gmt":"2023-09-28T00:17:00","slug":"verbal_presentations2020","status":"publish","type":"page","link":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/verbal_presentations2020.html","title":{"rendered":"\u5b66\u4f1a\u767a\u8868\u3000April 2020 \u2013 March 2021"},"content":{"rendered":"

Keynote Speeches: \u57fa\u8abf\u8b1b\u6f14<\/h3>
  1. \u767d\u571f\u535a\u6a39<\/u>\uff0e\u65b0\u4e16\u4ee3\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bTHERAPEUTIC WINDOW\uff0e\u7b2c33\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2020.10. 1-3. \u672d\u5e4c<\/li>
  2. Giaccia A., The past, present and future of radiotherapy: The race between technology and biology. \u7b2c33\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2020.10. 1-3. \u672d\u5e4c<\/li><\/ol>

    Invited Lectures [Japanese Conference]: \u62db\u5f85\u8b1b\u6f14(\u56fd\u5185)<\/h3>
    1. \u4e45\u4e0b\u88d5\u53f8\uff1aGa-68 PSMA\u306e\u5408\u6210\u3002\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300cPSMA PET\u3092\u7528\u3044\u305f\u524d\u7acb\u817a\u764c\u8a3a\u7642\u300d\u3002\u7b2c79\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a\uff08JRC2021\uff09\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\uff082020\u5e745\u670815\uff5e6\u670814\u65e5\uff09<\/li>
    2. Chang, D.T., PET-guided radiotherapy: A new program for treating oligometastatic disease. Symposium\u30004\uff1cReal-time Adaptive Radiotherapy\uff1e\u3000Proceedings of the Annual Meeting of JASTRO 33: 121-121, 2020.<\/li>
    3. Lei Xing, Y Nomura, J Wang, S Shimizu, H Shirato\uff1aArtificial Intelligence in Radiation Oncology, Proceedings of the Annual Meeting of JASTRO 33: 121-121, 2020.<\/li>
    4. \u767d\u571f\u535a\u6a39\uff0e\u304c\u3093\u6cbb\u7642\u3068\u4ed5\u4e8b\u306e\u4e21\u7acb\u652f\u63f4\u2015\u653e\u5c04\u7dda\u6cbb\u7642\u533b\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u308b\u3053\u3068\uff0e\u30b7\u30f3\u30dd\u30b8\u30a6\u30e05 \uff1c\u304c\u3093\u60a3\u8005\u3068\u6cbb\u7642\u306e\u4e21\u7acb\u652f\u63f4\u300c\u653e\u5c04\u7dda\u6cbb\u7642\u533b\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u300d\uff1e\u3000\u7b2c33\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2020.10. 1-3. \u672d\u5e4c<\/li>
    5. Tha KK. My Academic Career in Japan. The 79th Japan Radiology Congress.<\/li>
    6. Tha KK, Kikuchi E, Kikuchi Y, Yoshino Y, Ishizaka K, Katscher U. Electrical Conductivity of Lung and Mediastinal Masses: Feasibility of Noninvasive Assessment by MRI. JASTRO2020 annual meeting Oct, 2020<\/li><\/ol>

      Other Presentations [Japanese Conference]: \u53e3\u6f14(\u56fd\u5185)<\/h3>
      1. \u4e45\u4e0b\u88d5\u53f8\uff1a68Ga-PSMA\u306e\u305f\u3081\u306e\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf\u306e\u6271\u3044\u3068\u898f\u5236\u4e0a\u306e\u8ab2\u984c\u3002\u6838\u533b\u5b66\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e01\u2003\u524d\u7acb\u817a\u764c\u306b\u304a\u3051\u308b\u6838\u533b\u5b66\u306e\u6d3b\u7528\u3002\u7b2c60\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a\u3001\u795e\u6238\u56fd\u969b\u4f1a\u8b70\u5834\u3001\u795e\u6238\u56fd\u969b\u5c55\u793a\u5834 1\u53f7\u9928\u3001\u795e\u6238\u53ca\u3073\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\uff082020\u5e7410\u670831\uff5e11\u67088\u65e5\uff09\u3001\u30aa\u30f3\u30c7\u30de\u30f3\u30c9\u958b\u50ac\uff082020\u5e7412\u67087\u65e5\uff5e2021\u5e741\u67086\u65e5\uff09<\/li>
      2. \u4e45\u4e0b \u88d5\u53f8\uff1a\u6838\u533b\u5b66\u8a3a\u7642\u3068\u653e\u5c04\u6027\u533b\u85ac\u54c1\u3002\u5171\u50ac\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff14\u3000\u6838\u533b\u5b66\u8a3a\u7642\u306b\u7528\u3044\u308b\u653e\u5c04\u6027\u533b\u85ac\u54c1\u3068\u85ac\u5264\u5e2b\u3002\u65e5\u672c\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u95a2\u6771\u30d6\u30ed\u30c3\u30af\u7b2c50\u56de\u5b66\u8853\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7410\u670831\uff5e11\u67088\u65e5<\/li>
      3. \u91ce\u6751\u3000\u53cb\u7950\uff1a\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u9069\u5fdc\u967d\u5b50\u7dda\u6cbb\u7642\u306e\u305f\u3081\u306eCBCT\u6563\u4e71\u7dda\u88dc\u6b63\u3068\u4e09\u6b21\u5143\u967d\u5b50\u7dda\u7dda\u91cf\u5206\u5e03\u8a08\u7b97\u6cd5\u306e\u958b\u767a\u3000\u7b2c\uff13\uff19\u56de\u65e5\u672c\u533b\u7528\u753b\u50cf\u5de5\u5b66\u4f1a\u5927\u4f1a\uff089\u670818\u65e5\uff09<\/li>
      4. \u963f\u90e8\u548c\u8cb4\uff0c\u5bae\u5d0e\u5eb7\u4e00\uff0c\u6a2a\u5ddd\u822a\u5e73\uff0c\u9ad8\u5c3e\u8056\u5fc3\uff0c\u5e73\u7530\u96c4\u4e00<\/u>\uff0c\u6885\u57a3\u83ca\u7537\uff0c\u5bae\u672c\u76f4\u6a39\uff1a\u52d5\u4f53\u8ffd\u8de1\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bDeep Learning\u3092\u7528\u3044\u305fX\u7dda\u900f\u8996\u753b\u50cf\u4e0a\u306e\u975e\u7403\u5f62\u30de\u30fc\u30ab\u4f4d\u7f6e\u306e\u8a8d\u8b58\u3002\u7b2c39\u56de\u65e5\u672c\u533b\u7528\u753b\u50cf\u5de5\u5b66\u4f1a\u5927\u4f1a (JAMIT 2020)\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e749\u670817\uff5e19\u65e5<\/li>
      5. Hirata Y<\/u>\uff0cHirata K\uff0cNasuhara Y\uff0cShirato H\uff1aA study of new ethical risk management method of medical Artificial Intelligence for radiotherapy\uff0c\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c\uff13\uff13\u56de\u5b66\u8853\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7410\u67081\uff5e3\u65e5<\/li>
      6. \u5409\u4e95\u52c7\u6cbb\u3001\u963f\u4fdd\u61b2\u53f2\u3001\u6c34\u91ce\u96c4\u8cb4<\/u>\u3001\u5e73\u7530\u96c4\u4e00<\/u>\u3001\u4e45\u4e0b\u88d5\u53f8<\/u>\uff1a\u77ed\u534a\u6e1b\u671f\u6838\u7a2e\u3092\u5229\u7528\u3059\u308b\u30c9\u30e9\u30d5\u30c8\u30c1\u30e3\u30f3\u30d0\u30fc\u5468\u8fba\u306e\u6563\u4e71\u7dda\u91cf\u5206\u5e03\u306e\u53ef\u8996\u5316\u3002\u65e5\u672c\u653e\u5c04\u7dda\u5b89\u5168\u7ba1\u7406\u5b66\u4f1a\u7b2c19\u56de\u5b66\u8853\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7412\u67089\u65e5\uff5e 2021\u5e741\u67088\u65e5<\/li>
      7. \u5c71\u53e3 \u79c0, \u5fd7\u8cc0 \u54f2, \u5e73\u7530 \u5065\u53f8, \u5bfa\u5742 \u4fca\u4ecb, \u5c0f\u6797 \u6d69\u4e4b, \u4e0b\u702c\u5ddd \u6075\u4e45, \u9999\u5ddd \u5c1a\u5df1,\u3000\u5e73\u5c71 \u9f8d\u4e003, \u6728\u4e0b \u5b66, \u8cb4\u5cf6 \u6674\u5f66, \u85e4\u4e95 \u6b63\u7d14, \u5e02\u5ddd \u512a\u5bdb, \u7e54\u5185 \u6607, \u4e45\u4e0b \u88d5\u53f8<\/u>, \u7389\u6728 \u9577\u826f\uff1a\u8133\u816b\u760d\u306b\u304a\u3051\u308b 11C-Methionine PET \u81e8\u5e8a\u8a66\u9a13\u3002\u7b2c38\u56de\u65e5\u672c\u8133\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u30ea\u30fc\u30ac\u30ed\u30a4\u30e4\u30eb\u30db\u30c6\u30eb\u5e83\u5cf6\u3001\u5e83\u5cf6\u3001\u53ca\u3073\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7411\u670829\uff5e12\u67081\u65e5<\/li>
      8. \u623f\u77e5\u8f1d\u3001\u5b89\u4e95\u535a\u5ba3\u3001\u5fd7\u8cc0\u54f2\u3001\u67f4\u7530\u60a0\u8cb4\u3001\u85e4\u672c\u653f\u6bc5\u3001\u9234\u6728\u57fa\u53f2\u3001\u6771\u5ddd\u6842\u3001\u5bae\u672c\u76f4\u6a39\u3001\u7a32\u6ce2\u4fee\u3001\u4e45\u4e0b\u88d5\u53f8<\/u>\uff1a18F-DiFA PET\/CT\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3092\u7528\u3044\u305f\u30a8\u30ea\u30d6\u30ea\u30f3\u306b\u3088\u308b\u816b\u760d\u5185\u4f4e\u9178\u7d20\u89e3\u9664\u52b9\u679c\u306e\u89e3\u6790\u3068\u653e\u5c04\u7dda\u5897\u611f\u4f5c\u7528\u306e\u691c\u8a0e\u3002\u65e5\u672c\u653e\u5c04\u7dda\u5f71\u97ff\u5b66\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7410\u670815\uff5e16\u65e5<\/li>
      9. \u5c71\u53e3 \u79c0, \u5fd7\u8cc0 \u54f2, \u5e73\u7530 \u5065\u53f8, \u5bfa\u5742 \u4fca\u4ecb, \u5c0f\u6797 \u6d69\u4e4b, \u4e0b\u702c\u5ddd \u6075\u4e45, \u9999\u5ddd \u5c1a\u5df1,\u3000\u5e73\u5c71 \u9f8d\u4e003, \u6728\u4e0b \u5b66, \u8cb4\u5cf6 \u6674\u5f66, \u85e4\u4e95 \u6b63\u7d14, \u5e02\u5ddd \u512a\u5bdb, \u7e54\u5185 \u6607, \u4e45\u4e0b \u88d5\u53f8<\/u>, \u7389\u6728 \u9577\u826f\uff1a\u8133\u816b\u760d\u306b\u304a\u3051\u308b11C-Methionine PET\u81e8\u5e8a\u8a66\u9a13\u3002\u65e5\u672c\u8133\u795e\u7d4c\u5916\u79d1\u5b66\u4f1a\u7b2c79\u56de\u5b66\u8853\u7dcf\u4f1a\u3001\u5ca1\u5c71\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc\u3001ANA\u30af\u30e9\u30a6\u30f3\u30d7\u30e9\u30b6\u30db\u30c6\u30eb\u5ca1\u5c71\u3001\u5ca1\u5c71\u770c\u533b\u5e2b\u4f1a\u9928\u3001\u5ca1\u5c71\uff082020\u5e741\uff10\u670815\uff5e17\u65e5\uff09\u53ca\u3073\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\uff082020\u5e741\uff10\u670815\uff5e11\u670830\u65e5<\/li>
      10. \u4e0a\u539f\u91cc\u7a42\u3001\u6771\u5ddd\u6842\u3001\u6c34\u91ce\u96c4\u8cb4<\/u>\u3001\u5800\u53e3\u7d17\u548c\u5b50\u3001\u5927\u4e45\u4fdd\u76f4\u767b\u3001\u5b89\u4e95\u535a\u5ba3\u3001\u4e45\u4e0b\u88d5\u53f8<\/u>\u3001\u6b66\u7530\u5b8f\u53f8\uff1a\u30c1\u30df\u30b8\u30f3\u30db\u30b9\u30db\u30ea\u30e9\u30fc\u30bc\u6a19\u7684\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u3088\u308b\u975e\u30a2\u30eb\u30b3\u30fc\u30eb\u6027\u8102\u80aa\u809d\u708e\u8a3a\u65ad\u6cd5\u306e\u691c\u8a0e\u3002\u7b2c\uff16\u56de\u5317\u6d77\u9053\u5927\u5b66\u90e8\u5c40\u6a2a\u65ad\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012020\u5e7410\u670819\u65e5<\/li>
      11. \u6c34\u91ce \u96c4\u8cb4<\/u>\u3001\u6728\u6751 \u5016\u5927\u3001\u5c3e\u6c5f \u609f\u3001\u5bbf\u91cc \u5145\u7a57\u3001\u4e45\u4e0b \u88d5\u53f8<\/u>\u3001\u79cb\u6fa4 \u5b8f\u884c\uff1a\u591a\u4fa1RGD\u306e\u30ea\u30f3\u30ab\u30fc\u69cb\u9020\u304cintegrin \u03b1v<\/sub>\u03b23<\/sub>\u967d\u6027\u7d30\u80de\u3068\u306e\u76f8\u4e92\u4f5c\u7528\u306b\u53ca\u307c\u3059\u5f71\u97ff\u3002\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c141\u5e74\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e743\u670826\u65e5\uff5e29\u65e5<\/li>
      12. \u5408\u5ddd\u6b63\u5e78<\/u>\/Masayuki AIKAWA, \u8377\u96fb\u7c92\u5b50\u5165\u5c04\u53cd\u5fdc\u306b\u3088\u308b\u533b\u7642\u7528RI\u751f\u6210\u65ad\u9762\u7a4d\u6e2c\u5b9a\u5b9f\u9a13\/Measurements of production cross sections of medical radioisotopes via charged-particle induced reactions, 2020\u5e74\u5ea6\u6838\u30c7\u30fc\u30bf\u7814\u7a76\u4f1a\/Symposium on Nuclear Data 2020, 2020\u5e7411\u670826\u65e5<\/li>
      13. \u52a0\u85e4\u5343\u6075\u6b21<\/u>, \u9060\u85e4\u5927\u8f1d, \u5e73\u7530\u5065\u53f8, \u8d85\u89e3\u50cfPET\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u8d85\u89e3\u50cf\u7573\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8a55\u4fa1, \u7b2c60\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a, \u795e\u6238, 2020\u5e7411\u670814\u65e5<\/li>
      14. \u6cb3\u4e0a\u58ee\u5fd7, \u6749\u68ee\u535a\u884c, \u5e73\u7530\u5065\u53f8, \u5b6b\u7530\u60e0\u4e00, \u52a0\u85e4\u5343\u6075\u6b21,<\/u> PET\u753b\u50cf\u306b\u304a\u3051\u308bDeep learning\u3068\u305d\u306e\u8907\u5408\u6280\u8853\u3092\u7528\u3044\u305f\u691c\u51fa\u7cbe\u5ea6\u306e\u691c\u8a0e, \u7b2c40\u56de\u65e5\u672c\u6838\u533b\u5b66\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a, \u795e\u6238, 2020\u5e7411\u670813\u65e5<\/li>
      15. \u65b0\u6d77\u96bc\u4eba, \u77f3\u6d25\u660e\u6d0b, \u52a0\u85e4\u5343\u6075\u6b21,<\/u> \u7d50\u7bc0\u6027\u591a\u767a\u52d5\u8108\u708e\u306e\u75c5\u7406\u7d44\u7e54\u306eCNN\u306b\u3088\u308b\u5206\u985e\uff1a\u76ae\u819a\u9650\u5c40\u578b\u3068\u5168\u8eab\u578b\u3068\u306e\u9451\u5225\u306e\u691c\u8a0e, \u7b2c25\u56de\u65e5\u672c\u8840\u7ba1\u75c5\u7406\u7814\u7a76\u4f1a Web\u4f1a\u8b70 \u539a\u52b4\u7701\u300c\u96e3\u6cbb\u6027\u8840\u7ba1\u708e\u73ed\u300d\u81e8\u5e8a\u75c5\u7406\u5206\u79d1\u4f1a 2020\u5e7411\u67087\u65e5<\/li>
      16. \u65b0\u6d77\u96bc\u4eba, \u77f3\u6d25\u660e\u6d0b, \u52a0\u85e4\u5343\u6075\u6b21<\/u>,<\/u> Classification of images of Arteritis Using CNN, \u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a \u7b2c59\u56de\u5317\u6d77\u9053\u652f\u90e8\u5927\u4f1a, \u672d\u5e4c, 2020\u5e7410\u670824\u65e5<\/li>
      17. \u9060\u85e4\u5927\u8f1d, \u52a0\u85e4\u5343\u6075\u6b21<\/u>, PET\u753b\u50cf\u306b\u304a\u3051\u308bSuper Resolution Convolutional Neural Network\uff08SRCNN\uff09\u306e\u958b\u767a\u3068\u691c\u8a0e, \u7b2c59\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u5927\u4f1a, \u672d\u5e4c, 2020\u5e7410\u670824\u65e5<\/li>
      18. \u52a0\u85e4\u5343\u6075\u6b21<\/u>, \u52a0\u85e4\u664b\u4e5f, \u76f8\u5ddd\u5fe0\u592b, \u7d0d\u8c37\u660c\u76f4, \u5b6b\u7530\u60e0\u4e00, \u771f\u934b\u6cbb, \u5fd7\u8cc0\u54f2, ECG-gated myocardial 15O-H2O PET yielded higher and robuster estimation of flow reserve in ischemic myocardium after revascularization than non-gated PET, \u7b2c79\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a, Web\u958b\u50ac, 2020\u5e745\u670815\u65e5<\/li>
      19. \u677e\u7530\u3000\u5f69\u3001\u52a0\u85e4\u6cf0\u53f2\u3001\u5317\u6751\u54f2\u4e5f\u3001\u9593\u77f3\u5948\u6e56\u3001\u6a0b\u7530\u4eac\u5b50\u3001\u6771\u91ce\u53f2\u88d5<\/u>\uff1a\u816b\u760d\u6eb6\u89e3\u30a2\u30c7\u30ce\u30a6\u30a4\u30eb\u30b9\u306e\u52b9\u679c\u5897\u5f37\u306e\u305f\u3081\u306e\u8a66\u307f\u3001\u7b2c109\u56de\u65e5\u672c\u75c5\u7406\u5b66\u4f1a\u7dcf\u4f1a\u3001\u798f\u5ca1\u30012020.4.16<\/li>
      20. Hossain Elora\u3001Fumihiro Higashino<\/u>: Oncolytic virus utilizing RNA stabilization system. \u7b2c6\u56de\u3000\u5317\u6d77\u9053\u5927\u5b66\u90e8\u5c40\u6a2a\u65ad\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012020\/10\/19<\/li>
      21. \u52a0\u85e4\u6cf0\u53f2\u3001\u677e\u7530\u3000\u5f69\u3001\u5317\u6751\u54f2\u4e5f\u3001\u698a\u539f\u5178\u5e78\u3001\u5317\u5ddd\u5584\u653f\u3001\u6771\u91ce\u53f2\u88d5<\/u>\uff1amRNA\u306e\u5b89\u5b9a\u5316\u6a5f\u69cb\u3092\u5fdc\u7528\u3057\u305f\u65b0\u3057\u3044\u816b\u760d\u6eb6\u89e3\u30a2\u30c7\u30ce\u30a6\u30a4\u30eb\u30b9\u306e\u958b\u767a\u3068\u89e3\u6790, \u7b2c65\u56de\u65e5\u672c\u53e3\u8154\u5916\u79d1\u5b66\u4f1a\u7dcf\u4f1a\u30fb\u5b66\u8853\u5927\u4f1a, 2020.11.13\uff08\u540d\u53e4\u5c4b\uff09<\/li>
      22. \u6e05\u6c34\u4f38\u4e00<\/u>, \u7530\u6751\u5f18\u8a5e, \u677e\u6d66\u5999\u5b50, \u5bae\u5d0e\u5eb7\u4e00, \u5bae\u672c\u76f4\u6a39, \u9ad8\u5c3e\u8056\u5fc3<\/u>, \u5409\u6751\u9ad8\u660e, \u5c0f\u6a4b\u5553\u53f8, \u897f\u5ca1\u5065\u592a\u90ce<\/u>, \u6a4b\u672c\u5b5d\u4e4b<\/u>, \u5b89\u7530\u8015\u4e00, \u52a0\u85e4\u5fb3\u96c4, \u9752\u5c71\u82f1\u53f2, \u6885\u57a3\u83ca\u7537, \u767d\u571f\u535a\u6a39<\/u>\uff1a\u30a2\u30d5\u30bf\u30fc\u30b3\u30ed\u30ca\u6642\u4ee3\u3092\u898b\u636e\u3048\u305f\u533b\u7642\u8ca0\u8377\u8efd\u6e1b\u306b\u8cc7\u3059\u308b\u9069\u5fdc\u6cbb\u7642\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 104-104, 2020.<\/li>
      23. \u6c34\u7530\u6b63\u5f18, \u4f0a\u9054\u5e83\u884c, \u5c0f\u6a4b\u5553\u53f8<\/u>, Ken Sutherland, <\/u>\u767d\u571f\u535a\u6a39<\/u>\uff1aOptimal Fractionation for Multiple Targets, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 184-184, 2020.<\/li>
      24. \u5927\u585a\u611b\u7f8e, \u5b89\u7530\u8015\u4e00, \u6e4a\u5ddd\u82f1\u6a39, \u51fa\u5009\u5eb7\u88d5, \u9234\u6728\u9686\u4ecb, \u5bae\u672c\u76f4\u6a39, \u9234\u6728\u5d07\u7965, \u5bfe\u99ac\u90a3\u7531\u591a, \u52a0\u7d0d\u91cc\u5fd7, \u7530\u53e3\u7d14, \u6e05\u6c34\u5eb7, \u672c\u9593\u660e\u5b8f, \u6e05\u6c34\u4f38\u4e00,<\/u> \u9752\u5c71\u82f1\u53f2\uff1a\u5f53\u9662\u306b\u304a\u3051\u308b\u4e0b\u54bd\u982d\u764c\u306b\u5bfe\u3059\u308b\u6839\u6cbb\u7684\u5f37\u5ea6\u5909\u8abf\u653e\u5c04\u7dda\u6cbb\u7642 (IMRT) \u306e\u6cbb\u7642\u6210\u7e3e, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 217-217, 2020.<\/li>
      25. \u6e4a\u5ddd\u82f1\u6a39, \u5b89\u7530\u8015\u4e00, \u51fa\u5009\u5eb7\u5f18, \u5927\u585a\u611b\u7f8e, \u6253\u6d6a\u96c4\u4ecb, \u897f\u5ca1\u5065\u592a\u90ce<\/u>, \u52a0\u85e4\u5fb3\u96c4, \u9234\u6728\u6b63\u4e98, \u4e2d\u4e38\u88d5\u723e, \u9234\u6728\u5d07\u7965, \u5bfe\u99ac\u90a3\u7531\u591a, \u52a0\u7d0d\u91cc\u5fd7, \u672c\u9593\u660e\u5b8f, \u6e05\u6c34\u4f38\u4e00<\/u>, \u9752\u5c71\u82f1\u53f2\uff1a\u9f3b\u8154\u7c98\u819c\u60aa\u6027\u9ed2\u8272\u816b\u306b\u5bfe\u3059\u308b\u8853\u5f8c\u967d\u5b50\u7dda\u6cbb\u764230GyE \/ 5\u56de\u306e\u521d\u671f\u7d4c\u9a13, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 222-222, 2020.<\/li>
      26. \u6253\u6d6a\u96c4\u4ecb, \u52a0\u85e4\u5fb3\u96c4, \u9234\u6728\u9686\u4ecb, \u7530\u53e3\u5927\u5fd7, \u9ad8\u5c3e\u8056\u5fc3<\/u>, \u5bae\u672c\u76f4\u6a39, \u677e\u6d66\u5999\u5b50, \u6e05\u6c34\u4f38\u4e00<\/u>, \u9752\u5c71\u82f1\u53f2\uff1a\u816b\u760d\u5f843cm\u4ee5\u4e0a5cm\u4ee5\u4e0b\u306e\u809d\u7d30\u80de\u764c\u75c7\u4f8b\u306b\u304a\u3051\u308b\u967d\u5b50\u7dda\u6cbb\u7642\u3068X\u7ddaVMAT\u306e\u7dda\u91cf\u6bd4\u8f03, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 242-242, 2020.<\/li>
      27. \u897f\u5ca1\u84bc\u4e00\u90ce, \u5449\u79c9\u4fee, \u77e2\u30f6\u90e8\u4fca\u5f70, Amato J.Giaccia, Quynh-Thu Le<\/u>, \u9752\u5c71\u82f1\u53f2, \u6e05\u6c34\u4f38\u4e00, \u767d\u571f\u535a\u6a39<\/u>, \u5c0f\u91ce\u5bfa\u5eb7\u4ec1, \u5357\u30b8\u30f3\u30df\u30f3<\/u>\uff1aRab27b\u306f\u795e\u7d4c\u81a0\u82bd\u816b\u306e\u653e\u5c04\u7dda\u62b5\u6297\u6027\u3084\u30d1\u30e9\u30af\u30e9\u30a4\u30f3\u52b9\u679c\u3092\u4fc3\u9032\u3059\u308b, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 292-292, 2020.<\/li>
      28. \u7d30\u7530\u82bd\u751f, \u5357\u30b8\u30f3\u30df\u30f3<\/u>, \u897f\u5ca1\u84bc\u4e00\u90ce, \u5449\u30d4\u30f3\u30b7\u30e5\u30a6, \u677e\u6d66\u5999\u5b50, \u7b20\u677e\u5e78\u751f, \u5ddd\u4e2d\u5275\u5927, \u5c0f\u91ce\u5bfa\u5eb7\u4ec1, \u6e05\u6c34\u4f38\u4e00, \u767d\u571f\u535a\u6a39\uff1a\u967d\u5b50\u7dda\u306eLET\u304c\u57f9\u990a\u7d30\u80de\u306e\u7d30\u80de\u5468\u671f\u306b\u4e0e\u3048\u308b\u5f71\u97ff, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 293-293, 2020.<\/li>
      29. \u6d45\u91ce\u55ac, \u9234\u6728\u9686\u4ecb, \u9f4a\u85e4\u7950\u8f1d, \u5bae\u672c\u76f4\u6a39, \u7530\u6751\u660c\u4e5f, \u6e05\u6c34\u4f38\u4e00<\/u>\uff1aXCAT\u3092\u7528\u3044\u305f\u80c3\u30ea\u30f3\u30d1\u816bIMRT\u306b\u304a\u3051\u308binterplay\u52b9\u679c\u306e\u7814\u7a76, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 298-298, 2020.<\/li>
      30. \u9f4a\u85e4\u7950\u8f1d, \u9234\u6728\u9686\u4ecb, \u7530\u4e2d\u5275\u5927, \u5bae\u672c\u76f4\u6a39, \u7530\u6751\u660c\u4e5f, \u6e05\u6c34\u4f38\u4e00<\/u>\uff1aIMRT\u6cbb\u7642\u8a08\u753b\u306e\u7dda\u91cf\u8a55\u4fa1\u6307\u6a19\u306e\u4e88\u6e2c\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u7814\u7a76, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 298-298, 2020.<\/li>
      31. \u6a4b\u672c\u5b5d\u4e4b<\/u>, \u6566\u8cc0\u5065\u5409, \u85e4\u7530\u61b2\u660e, \u68ee\u5d07, \u897f\u5ca1\u5065\u592a\u90ce<\/u>, \u5b89\u7530\u8015\u4e00, \u6728\u4e0b\u7559\u7f8e\u5b50, \u5c71\u53e3\u79c0, \u4e95\u53e3\u6676\u88d5, \u672c\u591a\u660c\u5e73, \u672c\u9593\u660e\u5b8f, \u771f\u90e8\u6df3, \u68ee\u672c\u88d5\u4e8c, \u6e05\u6c34\u4f38\u4e00<\/u>, \u9752\u5c71\u82f1\u53f2\uff1a\u5c0f\u5150\u304c\u3093\u306e\u5168\u8eab\u9ebb\u9154\u30fb\u93ae\u9759\u4e0b\u967d\u5b50\u7dda\u6cbb\u7642\uff0c\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 214-214, 2020.<\/li>
      32. \u5b89\u6e21\u5927\u8f14, \u9ad8\u5c3e\u8056\u5fc3, \u897f\u5ca1\u5065\u592a\u90ce, \u6a4b\u672c\u5b5d\u4e4b, \u30bf \u30ad\u30f3\u30ad\u30f3, \u6e05\u6c34\u4f38\u4e00<\/u>, \u9752\u5c71\u82f1\u53f2, \u767d\u571f\u535a\u6a39<\/u>\uff1a\u967d\u5b50\u7dda\u6cbb\u7642\u4e2d\u306e\u524d\u7acb\u817a\u4f53\u7a4d\u5909\u5316, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 304-304, 2020.<\/li>
      33. Takaaki Yoshimura, Kentaro Nishioka, Takayuki Hashimoto<\/u>, Taro Fujiwara, Kinya Ishizaka, Hiroyuki Sugimori, Shoki Kogame, Kazuya Seki, Hiroshi Tamura, Sodai Tanaka, Yuto Matsuo, Yasuhiro Dekura, Fumi Kato, Hidefumi Aoyama, Shinichi Shimizu<\/u>\uff1aVisualizing the prostatic urinary tract with post-urination MRI : Inter-operator contouring accuracy, Proceedings of the Annual Meeting of JASTRO 33: 307-307, 2020.<\/li>
      34. \u51fa\u5009\u5eb7\u88d5, \u5b89\u7530\u8015\u4e00, \u6e4a\u5ddd\u82f1\u6a39, \u5927\u585a\u611b\u7f8e, \u9234\u6728\u9686\u4ecb, \u5bae\u672c\u76f4\u6a39, \u9234\u6728\u5d07\u7965, \u5bfe\u99ac\u90a3\u7531\u591a, \u52a0\u7d0d\u91cc\u5fd7, \u672c\u9593\u660e\u5b8f, \u6e05\u6c34\u4f38\u4e00<\/u>, \u9752\u5c71\u82f1\u53f2\uff1asimulative IMRT\u3092\u7528\u3044\u305f\u65e9\u671f\u58f0\u9580\u90e8\u764c\u306b\u5bfe\u3059\u308b\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308b\u7532\u72b6\u817a\u7dda\u91cf\u306e\u691c\u8a0e, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 311-311, 2020.<\/li>
      35. \u5c71\u7530\u4eae\u592a, \u5409\u6751\u9ad8\u660e, \u7530\u6751\u5f18\u8a5e, \u6728\u4e0b\u7559\u7f8e\u5b50, \u9577\u6c5f\u4f38\u6a39, \u677e\u6d66\u5999\u5b50, \u7530\u4e2d\u5275\u5927, \u9ad8\u5c3e\u8056\u5fc3<\/u>, \u7530\u6751\u660c\u4e5f, \u5c0f\u6a4b\u5553\u53f8<\/u>, \u9752\u5c71\u82f1\u53f2, \u6e05\u6c34\u4f38\u4e00<\/u>\uff1aIMPT\u3092\u7528\u3044\u305f\u5a66\u4eba\u79d1\u5168\u9aa8\u76e4\u7167\u5c04\u306b\u304a\u3051\u308b\u6709\u5bb3\u4e8b\u8c61\u30ea\u30b9\u30af\u5206\u6790, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 312-312, 2020.<\/li>
      36. \u6a2a\u5ddd\u822a\u5e73, \u5bae\u672c\u76f4\u6a39, \u9ad8\u5c3e\u8056\u5fc3<\/u>, \u677e\u6d66\u5999\u5b50, \u7530\u4e2d\u5275\u5927, \u6e05\u6c34\u4f38\u4e00, \u767d\u571f\u535a\u6a39<\/u>, \u6885\u57a3\u83ca\u7537\uff1a\u30b9\u30dd\u30c3\u30c8\u30b9\u30ad\u30e3\u30cb\u30f3\u30b0\u967d\u5b50\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308b\u53ef\u5909\u30b2\u30fc\u30c6\u30a3\u30f3\u30b0\u6cd5\u3092\u7528\u3044\u305f\u7dda\u91cf\u8aa4\u5dee\u306e\u4f4e\u6e1b, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 313-313, 2020.<\/li>
      37. Yuto Matsuo, Naoki Miyamoto, Taeko Matsuura, Masaya Tamura, Norio Katoh, Daisuke Abo, Shinichi Shimizu<\/u>, Hidefumi Aoyama, Hiroki Shirato, Seishin Takao<\/u>\uff1aThe changes of expiration position in Realtime Image-Guided Proton Therapy for liver cancer, Proceedings of the Annual Meeting of JASTRO 33: 314-314, 2020.<\/li>
      38. \u4e95\u7530\u983c\u5b50, \u5c0f\u6a4b\u5553\u53f8, \u5bae\u672c\u76f4\u6a39, \u5bae\u5d0e\u5eb7\u4e00, \u897f\u5ca1\u5065\u592a\u90ce, \u5b89\u7530\u8015\u4e00, \u52a0\u85e4\u5fb3\u96c4, \u677e\u6d66\u5999\u5b50, \u9ad8\u5c3e\u8056\u5fc3<\/u>, \u9752\u5c71\u82f1\u53f2, \u6a4b\u672c\u5b5d\u4e4b, \u6e05\u6c34\u4f38\u4e00<\/u>\uff1a\u967d\u5b50\u7dda\u6cbb\u7642\u306e\u9069\u5fdc\u7684\u6cbb\u7642\u3092\u652f\u63f4\u3059\u308b\u5b9f\u7e3e\u7dda\u91cf\u5206\u5e03\u8a55\u4fa1\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 314-314, 2020.<\/li>
      39. \u5927\u5c71\u667a\u4e4b, \u7530\u6751\u660c\u4e5f, \u795e\u7530\u99ff\u751f, \u5b89\u7530\u8015\u4e00, \u9234\u6728\u9686\u4ecb, \u6a4b\u672c\u5b5d\u4e4b, \u6e05\u6c34\u4f38\u4e00<\/u>\uff1a\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305fCT, MR\u753b\u50cf\u306b\u3088\u308b\u4e0a\u984e\u6d1e\u764cGTV\u81ea\u52d5\u62bd\u51fa, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 331-331, 2020.<\/li>
      40. \u91ce\u6751\u53cb\u7950, \u7530\u4e2d\u5275\u5927, Jeff Wang, \u767d\u571f\u535a\u6a39, \u6e05\u6c34\u4f38\u4e00, Lei Xing<\/u>\uff1a\u30d9\u30a4\u30ba\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u967d\u5b50\u7ddaCT\u753b\u50cf\u88dc\u6b63\u3068\u4e0d\u78ba\u5b9a\u8981\u7d20\u306e\u63cf\u753b, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 332-332, 2020.<\/li>
      41. \u5c0f\u6a4b\u5553\u53f8, \u6e05\u6c34\u4f38\u4e00<\/u>, Anussara Prayongrat, \u4f0a\u85e4\u967d\u4e00, \u52a0\u85e4\u5fb3\u96c4, \u51fa\u5009\u5eb7\u88d5, \u767d\u571f\u535a\u6a39<\/u>\uff1aNTCP\u30e2\u30c7\u30eb\u306e\u4e0d\u78ba\u304b\u3055\u3092\u8003\u616e\u3057\u305f2\u3064\u306e\u7dda\u91cf\u5206\u5e03\u306b\u5bfe\u3059\u308bNTCP\u306e\u5dee\u306e\u8a55\u4fa1\u6cd5, \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u5831\u6587\u96c6 33: 332-332, 2020.<\/li>
      42. \u6a4b\u672c\u5b5d\u4e4b<\/u>\uff1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02\u300c\u518d\u7167\u5c04\u300d\u3001\u5c0f\u5150\u304c\u3093\u306b\u5bfe\u3059\u308b\u967d\u5b50\u7dda\u518d\u7167\u5c04\uff0c\u7b2c62\u56de\u65e5\u672c\u5c0f\u5150\u8840\u6db2\u30fb\u304c\u3093\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u798f\u5cf6\uff0f\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u300111\/20-22, 2020<\/li>
      43. Kitagawa M, Yamaguchi S, Li X, Kudo K<\/u>, Tha KK<\/u>. The potential of noninvasive MRI indices in evaluation of diffuse glioma. JASTRO2020 annual meeting Oct, 2020<\/li>
      44. Tha KK<\/u>, Hamaguchi H, Katscher U, Li X, Yamada K, Sudo H. Diurnal Variation in Intervertebral Disc Compositions and The Performance of Quantitative MRI Indices. The 48th Annual Meeting of the Japanese Society for Magnetic Resonance in Medicine (JSMRM 2020).<\/li><\/ol>

        Other Presentations [International Conference]: \u53e3\u6f14(\u56fd\u969b)<\/h3>
        1. Chietsugu Katoh<\/u>, Hiroki Endo, Kenji Hirata, Strategy to acquire high resolution PET images with Super-Resolution Convolutional Neural Network (SRCNN) Society of Nuclear Medicine and Molecular imaging (SNMMI) 2020 Annual Meeting, Web meeting, USA, 2020.7.11.<\/li>
        2. Masashi Kawakami, Hiroyuki Sugimori, Kenji Hirata, Chietsugu Katoh<\/u>, Evaluation of Automatic Detection of Abnormal Uptake by Deep Learning and Combination Technique in FDG\u2013PET Images. Society of Nuclear Medicine and Molecular imaging (SNMMI) 2020 Annual Meeting, Web meeting, USA 2020.7.11<\/li>
        3. Hossain Elora\u3001Fumihiro Higashino<\/u>: Radiation therapy enhances the potential of oncolytic virus in the treatment of Osteosarcoma. RADIATION SCIENCE AND MEDICINE, 2021.3.3, AACR Virtual Special Conference<\/li>
        4. Nishioka K, Nomura Y, Hashimoto T<\/u>, Kinoshita R, Katoh N, Taguchi H, Yasuda K, Mori T, Uchinami Y, Otsuka M, Matsuura T, Takao S, Suzuki R, Tanaka S, Yoshimura T, Aoyama H, Shimizu S<\/u>: Automatic bladder delineation on MR images using a convolution neural network for online image-guided radiotherapy, 62nd<\/sup> American Society of Radiation Oncology(ASTRO) Annual Meeting, Miami\/Online, 2020<\/li>
        5. Nomura Y, Matsuura T, Shirato H, Shimizu S, Xing L.<\/u> 2020 Deep Proton DoseNet: a deep neural network for proton dose distribution image super-resolution. The 2020 Joint AAPM | COMP Virtual Meeting<\/li>
        6. Nomura Y, Tanaka S, Wang J, Shirato H, Shimizu S and Xing L<\/u> 2020 Uncertainty-aware reconstructed image correction for proton computed tomography using Bayesian deep learning The 2020 Joint AAPM | COMP Virtual Meeting<\/li>
        7. S Tanaka*, N Miyamoto, Y Shimada, T Yoshimura, S Takao<\/u>, Y Matsuo, S Shimizu<\/u>, T Matsuura\uff1aGated Proton Imaging Using Fiducial Marker and X-Ray Fluoroscopy\uff0cJoint AAPM Comp Meeting,Virtual,July12-16,2020. ePoster.<\/li>
        8. Takayuki Hashimoto<\/u>, Shigeru Yamaguchi, Takashi Mori, Akihiro Iguchi, Yukitomo Ishi, Hiroaki Motegi, Rikiya Onimaru, Atsushi Manabe, Shinichi Shimizu<\/u> and Hidefumi Aoyama: Proton Beam Therapy for Patients with Intracranial Ependymoma under 3 Years Old: Initial Clinical Outcomes, The 19th<\/sup> International Symposium on Pediatric Neuro-Oncology (ISPNO) 2020, Karuizawa\/Online, Dec 13-16, 2020.<\/li>
        9. Alpakut, Gizem, Burcin Unlu<\/u>, and Seydi Yavas. \"Femtosecond fiber oscillator with adjustable central wavelength and bandwidth optimized for high power amplification.\" In Fiber Lasers XVIII: Technology and Systems, vol. 11665, p. 1166527. International Society for Optics and Photonics, 2021.<\/li>
        10. Alpakut, Gizem, Ibrahim Atespare, Mehmet Burcin Unlu<\/u>, and Seydi Yavas. \"High throughput fs-pulsed glass welding via spiral scanning system.\" In Laser-based Micro-and Nanoprocessing XV, vol. 11674, p. 116740M. International Society for Optics and Photonics, 2021.<\/li>
        11. Alpakut, Gizem, Mehmet Bur\u00e7in \u00dcnl\u00fc<\/u>, and Seydi Yavas. \"Femtosecond-pulsed glass welding of chemically tempered aluminosilicate glasses.\" In Laser-based Micro-and Nanoprocessing XV, vol. 11674, p. 116741I. International Society for Optics and Photonics, 2021.<\/li>
        12. J Wang,<\/u> F Kato, KK Tha, R Li, H Shirato<\/u> \uff1aExpect the unexpected: Failure of deep learning cancer contouring indicative of pCR early treatment\uff0cJapanese Society for Radiation Oncology 33 (1), 75 2020<\/li>
        13. Anussara Prayongrat, Natchalee Srimaneekarn, Sira Srisawasdi, Yoichi M. Ito, Norio Katoh, Masaya Tamura, Yasuhiro Dekura, Chie Toramatsu, Chonlakiet Khorprasert, Napapat Amornwichet, Petch Alisanant, Yuichi Hirata, Hiroki Shirato, Shinichi Shimizu, Keiji Kobashi<\/u>\uff1aModelling of normal tissue complication probability in radiotherapy, International Session, Proceedings of the Annual Meeting of JASTRO 33: 185-185, 2020.<\/li>
        14. Jeff Wang<\/u>, Yusuke Nomura, Naoki Miyamoto, Lei Xing, Shinichi Shimizu, Hiroki Shirato<\/u>\uff1aNeural reconstruction of volumetric computed tomography from a body surface depth motion surrogate, International Session, Proceedings of the Annual Meeting of JASTRO 33: 339-339, 2020.<\/li>
        15. Hamaguchi H, Patzke N, Urushibata Y, Li X, Fernandez I, Tha KK<\/u>. In Vivo Myelin Quantification by T1w\/T2w: Its Relationship with Other MRI Quantifiers of Myelin and Specificity. 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION<\/li>
        16. Li X, Abiko K, Urushibata Y, Hamaguchi H, Ahn S, Tha KK<\/u>. Microstructural Attributes of Hemispheric Lateralization: A Combined Evaluation of Diffusion Spectrum Imaging and MR Spectroscopic Imaging. 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION<\/li>
        17. Tha KK<\/u>, Sawamura D, Li X, Urushibata Y, Kudo K, Shirato H. Diffusion Imaging Correlates of Neurocognition in Healthy Adults: The Potentials of Sequences with Multiple Diffusion Encoding Schemes. 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION<\/li>
        18. Sawamura D, Suzuki R, Ogawa K, Li X, Hamaguchi H, Sakai S, Tha KK<\/u>. Combined Working Memory and Attention Training Improves Cognition via Task-Specific and Transfer Effects. 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION Aug 13, 2020<\/li>
        19. Tha KK<\/u>, Katscher U, Kikuchi E, Kikuchi Y, Yoshino Y, Ishizaka K, Manabe N, Kudo K, Shirato H. Noninvasive Assessment of Electrical Conductivity of Lung and Mediastinal Mass Lesions: Feasibility and Potential Clinical Value. 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION Aug 11, 2020<\/li><\/ol><\/section>","protected":false},"excerpt":{"rendered":"Keynote Speeches: \u57fa\u8abf\u8b1b\u6f14\u767d\u571f\u535a\u6a39\uff0e\u65b0\u4e16\u4ee3\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bTHERAPEUTIC WINDOW\uff0e\u7b2c33\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2020.10. 1-3. \u672d\u5e4cGiaccia A., The p […]","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages\/1419"}],"collection":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/comments?post=1419"}],"version-history":[{"count":8,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages\/1419\/revisions"}],"predecessor-version":[{"id":1460,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages\/1419\/revisions\/1460"}],"wp:attachment":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/media?parent=1419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}