{"id":1421,"date":"2023-09-28T09:17:23","date_gmt":"2023-09-28T00:17:23","guid":{"rendered":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/?page_id=1421"},"modified":"2023-09-28T09:17:23","modified_gmt":"2023-09-28T00:17:23","slug":"verbal_presentations2021","status":"publish","type":"page","link":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/verbal_presentations2021.html","title":{"rendered":"\u5b66\u4f1a\u767a\u8868\u3000April 2021 \u2013 March 2022"},"content":{"rendered":"

Special Lecture\uff1a\u7279\u5225\u516c\u6f14<\/h3>
  1. \u7b2c33\u56de\u57fc\u7389\u770c\u653e\u5c04\u7dda\u816b\u760d\u7814\u7a76\u4f1a\u3000Web\u30002021.9.11
    \u9752\u5c71\u82f1\u53f2\uff1a\u8ee2\u79fb\u6027\u8133\u816b\u760d\u306e\u653e\u5c04\u7dda\u6cbb\u7642\uff1a\u7167\u5c04\u6cd5\u9078\u629e\u306e\u300c\u79c1\u306e\u300d\u601d\u8003\u904e\u7a0b\uff08\u7279\u5225\u8b1b\u6f14\uff09<\/li><\/ol>

    Invited Lectures [Japanese Conference]\uff1a\u62db\u5f85\u8b1b\u6f14(\u56fd\u5185)<\/h3>
    1. \u7b2c44\u56de\u65e5\u672c\u8133\u795e\u7d4cCI\u5b66\u4f1a\u3001WEB\u958b\u50ac\u30012021.4.10
      \u5de5\u85e4\u8207\u4eae\uff1a\u5b9a\u91cf\u7684\u78c1\u5316\u7387\u30de\u30c3\u30d4\u30f3\u30b0\u6cd5\u306b\u3088\u308b\u30a2\u30eb\u30c4\u30cf\u30a4\u30de\u30fc\u75c5\u306e\u65e9\u671f\u8a3a\u65adMRI<\/li>
    2. \u7b2c63\u56de\u65e5\u672c\u8001\u5e74\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001WEB\u958b\u50ac\u30012021.6.11-7.4
      \u5de5\u85e4\u8207\u4eae\uff1aGlymphatic system\u3068\u9244\u6c88\u7740\u306b\u7740\u76ee\u3057\u305f\u30a2\u30eb\u30c4\u30cf\u30a4\u30de\u30fc\u75c5\u306e\u65e9\u671f\u8a3a\u65ad<\/li>
    3. \u7b2c22\u56deMR\u5165\u9580\u8b1b\u5ea7\u3001WEB\u958b\u50ac\u30012021.6.12
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000MR\u691c\u67fb\u306e\u57fa\u790e\uff1a\u4e2d\u67a2\u795e\u7d4c\u30fb\u810a\u690e\u9818\u57df<\/li>
    4. \u7b2c60\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u3001WEB\u958b\u50ac\u30012021.6.17
      \u5de5\u85e4\u8207\u4eae\uff1a\u5b89\u5b9a\u540c\u4f4d\u4f53O17\u6c34\u5206\u5b50\u30c8\u30ec\u30fc\u30b5\u30fc\u306b\u3088\u308b\u8133\u5185\u306e\u6c34\u52d5\u614b\u306e\u53ef\u8996\u5316<\/li>
    5. \u7b2c1\u56de\u533b\u7642AI\u7279\u5225\u30bb\u30df\u30ca\u30fc\u3001WEB\u958b\u50ac\u30012021.6.18
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000\u5317\u5927\u306b\u304a\u3051\u308b\u533b\u7642AI\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0 CLAP<\/li>
    6. \u753b\u50cf\u30bb\u30df\u30ca\u30fcin\u5341\u52dd\u3001\u5e2f\u5e83\u30012021.8.6
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000\u753b\u50cf\u8a3a\u65ad\u3068\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09<\/li>
    7. \u7b2c12\u56de\u304a\u8336\u306e\u6c34 Neuroimaging Conference\u3001WEB\u958b\u50ac\u30012021.8.27
      \u5de5\u85e4\u8207\u4eae\uff1aMRI\u3068\u540c\u4f4d\u4f53\u9855\u5fae\u93e1\u306b\u3088\u308b\u6c34\u52d5\u614b\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0<\/li>
    8. \u7b2c49\u56de\u65e5\u672c\u78c1\u6c17\u5171\u9cf4\u533b\u5b66\u4f1a\u3001\u6a2a\u6d5c\u30012021.9.11
      \u5de5\u85e4\u8207\u4eae\uff1a\u5b9a\u91cf\u7684\u78c1\u5316\u7387\u30de\u30c3\u30d4\u30f3\u30b0\uff08QSM\uff09\uff1a\u8133\u304b\u3089\u5168\u8eab\u3078<\/li>
    9. \u5e02\u7acb\u51fd\u9928\u75c5\u9662\u8b1b\u6f14\u4f1a\u3001\u51fd\u9928\u30012021.9.16
      \u5de5\u85e4\u8207\u4eae\uff1aCT\/MRI\u306b\u3088\u308b\u8133\u6897\u585e\u8a3a\u65ad\u3068\u753b\u50cf\u8a3a\u65ad\u306e\u6700\u8fd1\u306e\u8a71\u984c<\/li>
    10. \u7b2c57\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a\u3001WEB\u958b\u50ac\u30012021.9.17-19
      \u5de5\u85e4\u8207\u4eae\uff1a\u9244\u6c88\u7740\u3068\u6c34\u52d5\u614b\u306e\u89e3\u6790\u306b\u3088\u308b\u30a2\u30eb\u30c4\u30cf\u30a4\u30de\u30fc\u75c5\u306e\u65e9\u671f\u8a3a\u65adMRI<\/li>
    11. \u7b2c57\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u5927\u4f1a\u3001WEB\u958b\u50ac\u30012021.9.19
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000\u9244\u6c88\u7740\u3068\u6c34\u52d5\u614b\u306e\u89e3\u6790\u306b\u3088\u308b\u30a2\u30eb\u30c4\u30cf\u30a4\u30de\u30fc\u75c5\u306e\u65e9\u671f\u8a3a\u65adMRI<\/li>
    12. \u7b2c9\u56de\u95a2\u897fSTROKE\u30bb\u30df\u30ca\u30fc\u30012021.10.9
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u8840\u6d41\u89e3\u6790\u30bd\u30d5\u30c8PMA\u306e\u6a5f\u80fd\u3068\u7cbe\u5ea6<\/li>
    13. \u7b2c80\u56de\u65e5\u672c\u8133\u795e\u7d4c\u5916\u79d1\u5b66\u4f1a\u7dcf\u4f1a\u3001\u6a2a\u6d5c\u3001WEB\u958b\u50ac\u30012021.10.28
      \u5de5\u85e4\u8207\u4eae\uff1a\u5b9a\u91cf\u7684\u78c1\u5316\u7387\u30de\u30c3\u30d4\u30f3\u30b0\u3068\u9178\u7d20\u306e\u5b89\u5b9a\u540c\u4f4d\u4f53O17\u3092\u7528\u3044\u305fMRI\u306b\u3088\u308b\u8133\u5185\u9178\u7d20\u4ee3\u8b1d\u306e\u53ef\u8996\u5316<\/li>
    14. \u7b2c1\u56deHi Advanced Seminar 2021\u3001WEB\u958b\u50ac\u30012021.11.4
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000QSM\u306e\u81e8\u5e8a\u5fdc\u7528\uff1a\u8133\u304b\u3089\u5168\u8eab\u3078<\/li>
    15. \u30b2\u30eb\u30d9\u30fb\u30b8\u30e3\u30d1\u30f3Web\u30bb\u30df\u30ca\u30fc\u3001WEB\u958b\u50ac\u30012021.11.17
      \u5de5\u85e4\u8207\u4eae\uff1a\u6559\u80b2\u8b1b\u6f14\u3000\u81e8\u5e8a\u306b\u5f79\u7acb\u3064\u4e2d\u67a2\u795e\u7d4c\u9818\u57df\u306e\u753b\u50cf\u8a3a\u65ad\uff5eGd\u9020\u5f71Perfusion\u306e\u4f7f\u3044\u65b9\uff5e<\/li>
    16. \u7b2c20\u56de\u5317\u6d77\u9053\u81e8\u5e8a\u753b\u50cf\u8a3a\u65ad\u30bb\u30df\u30ca\u30fc\u30012021.11.18
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u5352\u4e2d\u8a3a\u65ad\u306e\u57fa\u672c\u3068\u30d4\u30c3\u30c8\u30d5\u30a9\u30fc\u30eb<\/li>
    17. \u7b2c40\u56de\u65e5\u672c\u8a8d\u77e5\u75c7\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u6771\u4eac\u30012021.11.26
      \u5de5\u85e4\u8207\u4eae\uff1a\u30a2\u30eb\u30c4\u30cf\u30a4\u30de\u30fc\u75c5\u306e\u65e9\u671f\u8a3a\u65ad\u3092\u76ee\u6307\u3057\u305f\u9244\u6c88\u7740\u3068\u6c34\u52d5\u614b\u306eMRI\u89e3\u6790<\/li>
    18. \u738b\u5b50\u7dcf\u5408\u75c5\u9662\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9\u30012021.12.3
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u306e\u753b\u50cf\u8a3a\u65ad\u306e\u57fa\u790e<\/li>
    19. \u7b2c27\u56de\u6771\u5317\u8133\u5faa\u74b0\u30ab\u30f3\u30d5\u30a1\u30e9\u30f3\u30b9\u30012021.12.11
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u8840\u6d41\u89e3\u6790\u30bd\u30d5\u30c8PMA\u3092\u7528\u3044\u305f\u865a\u8840\u30da\u30ca\u30f3\u30d6\u30e9\u89e3\u6790<\/li>
    20. \u533b\u7642\u00d7IT\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012021.12.14
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u5352\u4e2d\u8a3a\u7642\u306b\u304a\u3051\u308bAI\u306e\u6d3b\u7528\u3000<\/li>
    21. \u7b2c4\u56deSapporo mrAI nITe\u30012022.1.14
      \u5de5\u85e4\u8207\u4eae\uff1aAI\u00d7\u533b\u7642\uff1a\u5317\u5927\u75c5\u9662\u306e\u53d6\u308a\u7d44\u307f<\/li>
    22. NVU\u7814\u7a76\u4f1a\u30012022.1.29
      \u5de5\u85e4\u8207\u4eae\uff1a\u9178\u7d20\u306e\u5b89\u5b9a\u540c\u4f4d\u4f53O17\u30fbO18\u306b\u3088\u308b\u6c34\u52d5\u614bMRI\u30fb\u540c\u4f4d\u4f53\u9855\u5fae\u93e1\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0<\/li>
    23. \u5bcc\u5c71\u795e\u7d4c\u753b\u50cf\u7814\u7a76\u4f1a\u30012022.2.4
      \u5de5\u85e4\u8207\u4eae\uff1aCT\/MRI\u306b\u3088\u308b\u8133\u8840\u6d41\u4ee3\u8b1d\u89e3\u6790<\/li>
    24. \u7b2c51\u56de\u65e5\u672c\u795e\u7d4c\u653e\u5c04\u7dda\u5b66\u4f1a\u30012022.2.18
      \u5de5\u85e4\u8207\u4eae\uff1a\u30c0\u30a4\u30d0\u30fc\u30b7\u30c6\u30a3<\/li>
    25. \u7b2c46\u56de\u8033\u5b66\u554f\u306e\u4f1a\u30012022.3.11
      \u5de5\u85e4\u8207\u4eae\uff1a\u8133\u6897\u585e\u8a3a\u65ad\u306e\u57fa\u790e\u304b\u3089\u6700\u8fd1\u306e\u8a71\u984c\u307e\u3067<\/li>
    26. \u00a013thAOCNR, WEB\u958b\u50ac, 2021.4.22
      Kudo K: It is not Mere T2*...O2 Extraction!<\/li>
    27. \u7b2c13\u56de\u65e5\u672c\u5317\u6b27\u653e\u5c04\u7dda\u533b\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, WEB\u958b\u50ac, 2021.10.1
      Kudo K: Artificial Intelligence in Radiology<\/li>
    28. \u7b2c39\u56de\u65e5\u672c\u8133\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3000\u6709\u99ac\u30002021.12.6
      \u9752\u5c71\u82f1\u53f2\uff1aVMAT \u3092\u7528\u3044\u305f\u65b0\u305f\u306a\u7167\u5c04\u6cd5\u306e\u7d39\u4ecb\uff1aSI-VMAT \u3068 HA-WBRT\u00b1SIB<\/li>
    29. \u7b2c80\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a \u6a2a\u6d5c\/Web, 2021.4.15-18
      \u9752\u5c71\u82f1\u53f2\uff1a\u982d\u84cb\u5185\u826f\u6027\u75be\u60a3\u306e\u653e\u5c04\u7dda\u6cbb\u7642.\uff08\u9818\u57df\u8b1b\u7fd2\uff0929\uff1a\u6cbb\u76425. \u826f\u6027\u816b\u760d. \u6559\u80b2\u8b1b\u6f14<\/li>
    30. \u677e\u6d66\u5999\u5b50\uff1a\u5317\u5927\u75c5\u9662\u306b\u304a\u3051\u308b\u967d\u5b50\u7dda\u6cbb\u7642\u306e\u73fe\u72b6\u3068 \u6cbb\u7642\u306e\u9ad8\u7cbe\u5ea6\u5316\u3092\u76ee\u6307\u3057\u305f\u7814\u7a76\u958b\u767a\u306b\u3064\u3044\u3066\u3001\u539f\u5b50\u529b\u5b66\u4f1a \u79cb\u306e\u5927\u4f1a\u30012021.9<\/li><\/ol>

      Invited Lectures [International Conference]\uff1a\u62db\u5f85\u8b1b\u6f14(\u56fd\u969b)<\/h3>
      1. Taipei Imaging Summit, WEB\u958b\u50ac, 2021.10.30
        Kudo K: Development of Automated Perfusion\/Diffusion Analysis Program \u201cPMAneo\u201d<\/li>
      2. RSNA scientific assembly and annual meeting, Chicago, USA, 2021.11.28
        Kudo K: Inflammatory Vascular Diseases: Imaging Findings and Complications: CNS<\/li>
      3. 2nd ONO PCNSL International Web Forum, 2022.2.26
        Kudo K: MRI Findings of Primary CNS Lymphoma<\/li>
      4. Olea Medical Academy Webinars, WEB\u958b\u50ac, 2022.3.9
        Kudo K: Quantitative Susceptibility Mapping<\/li>
      5. 8th GCB Biomedical Science and Engineering Symposium, WEB\u958b\u50ac, 2022.3.23
        Kudo K: Basics and Clinical Applications of Quantiative Susceptibility Mapping<\/li>
      6. Tha KK. Noninvasive Assessment of Tissue Electrical Conductivity: Potential Clinical Value. International Congress on MRI 2021 (11\/6\/2021)<\/li>
      7. Tha KK. \u201cRadiomics\u201d and \u201cRadiogenomics\u201d for Glioma Management. Imaging Summit 2021 (10\/30\/2021)<\/li>
      8. Tha KK. The Role of MRI in the Evaluation of Parkinsonism. The 57th Autumn Assembly of the Japan Radiological Society (9\/2021) (in Japanese)<\/li>
      9. Tha KK. A Few Lessons Learned from \u201cRadiomics\u201d and \u201cArtificial Intelligence\u201d Researches. The 18th Asian-Oceanian Congress of Radiology (4\/17\/2021)<\/li>
      10. World Federation of Neuro-Oncology Societies (WFNOS 2022), Seoul, Korea,\/Web March 24-27,2022
        Hidefumi Aoyama\uff1aLuncheon Seminar 2, March,25 RANO Criteria for Brain Metastases and Leptomeningeal Metastases<\/li>
      11. The 8th GCB Biomedical Science and Engineering Symposium\u3000Web, 3.22-23,2022
        Yasuhito Onodera: \"Synthetic metabology\" for cancer therapy<\/li>
      12. The 8th GCB Biomedical Science and Engineering Symposium\u3000Web, 3.22-23,2022
        Hidefumi Aoyama: Brain metastases, Radiation, and Neuro-cognition<\/li>
      13. \u677e\u6d66\u5999\u5b50\uff1a Correspondence of medical physics division under the Covid-19 pandemic: The case of Hokkaido University\u3001\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012021.4<\/li>
      14. \u677e\u6d66\u5999\u5b50\uff1a Ultrasonic waves to verify proton beam ranges in radiotherapy\u3001\u30d6\u30e9\u30b8\u30eb\u7269\u7406\u5b66\u4f1a\u30012021.6<\/li>
      15. \u677e\u6d66\u5999\u5b50\uff1a Range verification of pulsed proton beams using ionoacoustics\u3001GCB\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30012022.3<\/li><\/ol>

        Other Presentations [Japanese Conference]\uff1a\u5b66\u4f1a\u767a\u8868(\u56fd\u5185)<\/h3>
        1. \u4e45\u4e0b\u88d5\u53f8\uff1a\u6838\u533b\u5b66\u6cbb\u7642\u7528\u653e\u5c04\u6027\u540c\u4f4d\u5143\u7d20\u306e\u57fa\u790e\u3002\u5171\u50ac\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000\u6297\u304c\u3093\u5264\u3068\u3057\u3066\u306e\u653e\u5c04\u7dda\u5185\u7528\u7642\u6cd5\u7528\u653e\u5c04\u6027\u533b\u85ac\u54c1\u306e\u5c55\u671b\u300d\u65e5\u672c\u75c5\u9662\u85ac\u5264\u5e2b\u4f1a\u95a2\u6771\u30d6\u30ed\u30c3\u30af\u7b2c51\u56de\u5b66\u8853\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e748\u670828\uff5e9\u67085\u65e5<\/li>
        2. \u672c\u9593\u5145\u61b2\u3001\u4e2d\u5cf6\u5b5d\u5e73\u3001\u9234\u6728\u57fa\u53f2\u3001\u6a2a\u5185\u52c7\u592a\u3001\u677e\u7530\u62d3\u771f\u3001\u9ad8\u5009\u6804\u7537\u3001\u5e73\u7530\u5065\u53f8\u3001\u4e45\u4e0b\u88d5\u53f8\u3001\u5c0f\u5ddd\u7f8e\u9999\u5b50:\u514d\u75ab\u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u963b\u5bb3\u5264\u304c\u816b\u760d\u5185\u306e\u4f4e\u9178\u7d20\u72b6\u614b\u306b\u53ca\u307c\u3059\u5f71\u97ff\u306b\u95a2\u3059\u308b\u691c\u8a0e\u3002\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012022\u5e743\u670825\uff5e28\u65e5<\/li>
        3. \u591a\u7530\u54f2\u6717\u3001\u6c34\u91ce\u96c4\u8cb4\u3001\u67f4\u7530\u60a0\u8cb4\u3001\u5b89\u4e95\u535a\u5ba3\u3001\u4e45\u4e0b\u88d5\u53f8\uff1aROS\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3092\u76ee\u7684\u3068\u3057\u305f\u30e1\u30bf\u30dc\u30ea\u30c3\u30af\u30c8\u30e9\u30c3\u30d7\u578bPET\u30d7\u30ed\u30fc\u30d6\u306e\u958b\u767a\uff1aCuI-BCA\u932f\u4f53\u306e\u5229\u7528\u3002\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012022\u5e743\u670825\uff5e28\u65e5<\/li>
        4. \u6c34\u91ce \u96c4\u8cb4\u3001\u4e09\u6d66\u6625\u9999\u3001\u5b89\u4e95\u535a\u5ba3\u3001\u67f4\u7530\u60a0\u8cb4\u3001\u5927\u4e45\u4fdd\u76f4\u767b\u3001\u524d\u539f\u7d4c\u3001\u6b66\u7530\u5b8f\u53f8\u3001\u5927\u897f\u4fca\u4ecb\u3001\u4e45\u4e0b\u88d5\u53f8\uff1a\u30c8\u30e9\u30f3\u30b9\u30d5\u30a7\u30ea\u30f3\u53d7\u5bb9\u4f53\u8a8d\u8b58\u76f4\u9396\u30da\u30d7\u30c1\u30c9\u3092\u6bcd\u4f53\u3068\u3057\u305f68Ga\u6a19\u8b58\u30d7\u30ed\u30fc\u30d6\u306e\u5408\u6210\u3068\u8a55\u4fa1\u3002\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012022\u5e743\u670825\uff5e28\u65e5<\/li>
        5. \u9577\u8c37\u5ddd\u821e\u8863\u3001\u5bbf\u91cc\u5145\u7a57\u3001\u5c3e\u6c5f \u609f\u3001\u6c34\u91ce\u96c4\u8cb4\u3001\u4e45\u4e0b\u88d5\u53f8\u3001\u79cb\u6fa4 \u5b8f\u884c\uff1a\u30c8\u30e9\u30f3\u30b9\u30dd\u30fc\u30bf\u30fc\u9ad8\u767a\u73fe\u7d30\u80de\u3092\u7528\u3044\u305f\u30c1\u30df\u30b8\u30f3\u30db\u30b9\u30db\u30ea\u30e9\u30fc\u30bc\u6a19\u7684\u653e\u5c04\u6027\u30d7\u30ed\u30fc\u30d6[123I]IIMU\u306e\u53d6\u308a\u8fbc\u307f\u6a5f\u69cb\u306b\u95a2\u3059\u308b\u691c\u8a0e\u3002\u65e5\u672c\u85ac\u5b66\u4f1a\u7b2c142\u5e74\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012022\u5e743\u670825\uff5e28\u65e5<\/li>
        6. \u4e2d\u5cf6\u5b5d\u5e73\u3001\u6749\u5ddd\u6643\u4ee3\u3001\u5b89\u4e95\u535a\u5ba3\u3001\u6771\u5ddd\u6842\u3001\u9ad8\u5009\u6804\u7537\u3001\u9234\u6728\u5343\u6075\u3001\u9593\u8cc0\u7530\u6cf0\u5bdb\u3001\u4e45\u4e0b\u88d5\u53f8\u3001\u5c0f\u5ddd\u7f8e\u9999\u5b50\uff1a\u5149\u514d\u75ab\u7642\u6cd5\u304c\u816b\u760d\u306b\u53ca\u307c\u3059\u6a5f\u80fd\u7684\u5909\u5316\u306b\u95a2\u3059\u308bFDG-\/FMISO-PET\u304a\u3088\u3073MRI\u3092\u7528\u3044\u305f\u691c\u8a0e\u3002\u7b2c61\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u540d\u53e4\u5c4b\u56fd\u969b\u4f1a\u8b70\u5834\u3001\u540d\u53e4\u5c4b\u53ca\u3073\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e7411\u67084\u6708\uff5e6\u65e5<\/li>
        7. \u591a\u7530 \u54f2\u6717, \u5bcc\u7530 \u7fd4, \u6c34\u91ce \u96c4\u8cb4, \u7530\u6ca2 \u5468\u4f5c, \u4e45\u4e0b \u88d5\u53f8\uff1a68Ga\u6a19\u8b58\u53cd\u5fdc\u306e\u53ce\u7387\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u9244\u6fc3\u5ea6\uff1a68Ge\/68Ga\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf\u6eb6\u51fa\u6db2\u4e2d\u306b\u542b\u307e\u308c\u308b\u9244\u6fc3\u5ea6\u3068\u6bd4\u8f03\u3002\u7b2c61\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u540d\u53e4\u5c4b\u56fd\u969b\u4f1a\u8b70\u5834\u3001\u540d\u53e4\u5c4b\u53ca\u3073\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e7411\u67084\u6708\uff5e6\u65e5<\/li>
        8. \u6c34\u91ce\u96c4\u8cb4, \u5bae\u672c\u8389\u91cc, \u5c3e\u6c5f\u609f, \u5bbf\u91cc\u5145\u7a42, \u4e45\u4e0b\u88d5\u53f8, \u79cb\u6fa4\u5b8f\u884c\uff1a2\u4fa1\u74b0\u72b6RGD\u30da\u30d7\u30c1\u30c9\u306e\u30b9\u30da\u30fc\u30b5\u69cb\u9020\u304cintegrin \u03b1v\u03b23\u967d\u6027\u7d30\u80de\u3068\u306e\u76f8\u4e92\u4f5c\u7528\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3002\u7b2c4\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5206\u79d1\u4f1a \u653e\u5c04\u6027\u85ac\u54c1\u79d1\u5b66\u7814\u7a76\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u670825\u65e5<\/li>
        9. \u9ad9\u6a4b\u6625\u9999, \u524d\u539f\u7d4c, \u6c34\u91ce\u96c4\u8cb4, \u4e09\u6d66\u6625\u9999, \u4e0a\u539f\u91cc\u7a42, \u5927\u4e45\u4fdd\u76f4\u767b, \u9808\u7530\u525b\u751f, \u68ee\u5ddd\u8ce2\u4e00, \u5742\u672c\u76f4\u54c9, \u4e45\u4e0b\u88d5\u53f8, \u6b66\u7530\u5b8f\u53f8, \u5927\u897f\u4fca\u4ecb\uff1a\u975e\u30a2\u30eb\u30b3\u30fc\u30eb\u6027\u8102\u80aa\u809d\u708e\u306b\u304a\u3051\u308b\u30c1\u30df\u30b8\u30f3\u30db\u30b9\u30db\u30ea\u30e9\u30fc\u30bc\u306e\u6a5f\u80fd\u89e3\u6790\u3002\u7b2c34\u56de\u5317\u6d77\u9053\u85ac\u7269\u4f5c\u7528\u8ac7\u8a71\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u670811\u65e5<\/li>
        10. \u5b89\u4e95\u535a\u5ba3\u3001\u623f\u77e5\u8f1d\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\uff1a\u30de\u30a6\u30b9\u4e73\u304c\u3093\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u30a8\u30ea\u30d6\u30ea\u30f3\u3068\u653e\u5c04\u7dda\u306e\u4f75\u7528\u7642\u6cd5\u306b\u5bfe\u3059\u308b18F-DiFA PET\u4f4e\u9178\u7d20\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3092\u7528\u3044\u305f\u52b9\u679c\u5224\u5b9a\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u691c\u8a0e\u3002\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u751f\u7269\u90e8\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e746\u67084\u65e5<\/li>
        11. Suzuka Asano, Koichi Miyazaki, Risa Hayashi, Kouhei Yokokawa, Seishin Takao, Sodai Tanaka, Taeko Matsuura, Kikuo Umegaki, Naoki Miyamoto, Development of markerless volumetric imaging technique using dual X-ray fluoroscopy, \u7b2c121\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u6a2a\u6d5c\u30012021\u5e744\u670815\u65e5-18\u65e5<\/li>
        12. Kouhei Yokokawa, Keiji Kobashi, Naoki Miyamoto, Kikuo Umegaki, A method for evaluating the achievement probabilities of prescribed dose \u00c4b0criteria under arbitrary respiratory motion in particle therapy, \u7b2c121\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u6a2a\u6d5c\u30012021\u5e744\u670815\u65e5-18\u65e5<\/li>
        13. \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5
          Suzuka Asano, Seishin Takao, Koichi Miyazaki, Kohei Yokokawa, Taeko Matsuura, Hiroshi Taguchi, Norio Katoh, Hidefumi Aoyama, Kikuo Umegaki, Naoki Miyamoto, Data augmentation of 4DCT dataset based on principal component analysis of deformation vector field, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        14. Yuta Aoyama, Seishin Takao, Koichi Miyazaki, Kohei Yokokawa, Taeko Matsuura, Hiroshi Taguchi, Norio Katoh, Hidefumi Aoyama, Kikuo Umegaki, Naoki Miyamoto, Prediction of internal markers\u2019 position with deep learning in real-time tumor-tracking radiotherapy, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        15. Changmin Park, Seishin Takao, Koichi Miyazaki, Kohei Yokokawa, Taeko Matsuura, Hiroshi Taguchi, Norio Katoh, Hidefumi Aoyama, Kikuo Umegaki, Naoki Miyamoto, Analysis of variations in respiratory tumor motion during lung SBRT by continuous wavelet transform, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        16. Yuhei Kikkawa, Hideaki Ueda, Koichi Miyazaki, Taeko Matsuura, Kikuo Umegaki, Naoki Miyamoto, Seishin Takao, Range adapted patient alignment based on the water equivalent thickness in spot-scanning proton therapy, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        17. Yojiro Shimada, Sodai Tanaka, Koichi Miyazaki, Naoki Miyamoto, Seishin Takao, Taeko Matsuura, Scattering correction for integrated-type proton computed tomography, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        18. Yuki Saito, Ryusuke Suzuki, Naoki Miyamoto, Takahiro Kanehira, Masaya Tamura, Multiple regression analysis of the correlation between PTV dose indexes and the overlapping volume, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        19. Yuki Nihonyanagi, Hideaki Ueda, Koichi Miyazaki, Taeko Matsuura, Kikuo Umegaki, Naoki Miyamoto, Seishin Takao, Estimation method for changes in dose distribution from changes in water-equivalent thickness in proton therapy, \u7b2c122\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u7b2c9\u56de\u97d3\u65e5\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5408\u540c\u5927\u4f1a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u30012021\u5e749\u67089\u65e5-10\u65e5<\/li>
        20. Tha KK, Katscher U, Yabe I, Hyodoh H. Noninvasive Assessment of the Cerebrospinal Fluid and Its Composition by Electric Properties Tomography. The 49th Annual Meeting of the Japanese Society for Magnetic Resonance in Medicine, 2021 (9\/2021) (e-poster)<\/li>
        21. \u5408\u5ddd \u6b63\u5e78, \u524d\u6a4b \u62d3\u6597, \u30c0\u30b0\u30ef\u30c9\u30eb\u30b8 \u30a4\u30c1\u30f3\u30db\u30eb\u30ed\u30fc, \u6c5f\u5e61 \u4fee\u4e00\u90ce, \u5c0f\u68ee \u6709\u5e0c\u5b50, \u7fbd\u5834 \u5b8f\u5149, \u201c141Pr\u6a19\u7684\u3078\u306e\u91cd\u967d\u5b50\u5165\u5c04\u53cd\u5fdc\u306b\u3088\u308b140Nd\u751f\u6210\u53cd\u5fdc\u65ad\u9762\u7a4d\u306e\u6e2c\u5b9a\u201d, \u65e5\u672c\u539f\u5b50\u529b\u5b66\u4f1a\u300c2021\u5e74\u79cb\u306e\u5927\u4f1a\u300d, 2021\u5e749\u67089\u65e5<\/li>
        22. \u5408\u5ddd \u6b63\u5e78, \u82b1\u7530 \u5e78\u5948, Ichinkhorloo Dagvadorj, \u7fbd\u5834 \u5b8f\u5149, Sandor Takacs, Ferenc Ditroi, Zoltan Szucs, \u201c\u30ab\u30eb\u30b7\u30a6\u30e0\u6a19\u7684\u3078\u306e\u30a2\u30eb\u30d5\u30a1\u7c92\u5b50\u5165\u5c04\u53cd\u5fdc\u306b\u3088\u308b47Sc\u751f\u6210\u53cd\u5fdc\u65ad\u9762\u7a4d\u6e2c\u5b9a\u201d, \u65e5\u672c\u539f\u5b50\u529b\u5b66\u4f1a\u300c2022\u5e74\u6625\u306e\u5e74\u4f1a\u300d, 2022\u5e743\u670817\u65e5<\/li>
        23. Higashino F., Hossain E.\uff1aConditionally Replicative Adenovirus Controlled by the Stabilization System of AU-rich Elements-Containing mRNA, \u7b2c27\u56de\u65e5\u672c\u907a\u4f1d\u5b50\u7d30\u80de\u6cbb\u7642\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a\u3001\u6771\u4eac\u3001\u864e\u30ce\u9580\u30d2\u30eb\u30ba\u30d5\u30a9\u30fc\u30e9\u30e0\u30012021\/9\/9-10<\/li>
        24. AI\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u7528\u6559\u5e2b\u30c7\u30fc\u30bf\u751f\u6210\u652f\u63f4\u306e\u305f\u3081\u306e\u30b9\u30e9\u30a4\u30b9\u9593ROI\u88dc\u9593\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u958b\u767a\u3068\u6027\u80fd\u8a55\u4fa1
          \u9060\u85e4 \u5927\u8f1d, \u5e73\u7530 \u5065\u53f8, \u5b6b\u7530 \u60e0\u4e00, \u52a0\u85e4 \u5343\u6075\u6b21
          \u7b2c61\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67086\u65e5<\/li>
        25. 18F-FDG\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u8133PET\u691c\u67fb\u306b\u304a\u3051\u308bCNN\u306b\u3088\u308b\u975e\u4fb5\u8972\u7684\u306a\u5165\u529b\u95a2\u6570\u306e\u63a8\u5b9a
          \u52a0\u85e4\u5343\u6075\u6b21, \u77f3\u5c71\u656c\u609f, \u5b6b\u7530\u60e0\u4e00, \u5e73\u7530\u5065\u53f8
          \u7b2c61\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67086\u65e5<\/li>
        26. GAN\u3092\u7528\u3044\u305fPET\u753b\u50cf\u306eSUV\u88dc\u6b63 \u897f\u4e0a\u5065\u592a\u6717, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c41\u56de\u65e5\u672c\u6838\u533b\u5b66\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67085\u65e5<\/li>
        27. 18F-FDG\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u8133PET\u30b9\u30ad\u30e3\u30f3\u306b\u304a\u3051\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u77ed\u6642\u9593\u53ce\u96c6\u753b\u50cf\u306e\u753b\u8cea\u6539\u5584\u306e\u8a66\u307f \u6589\u85e4\u9053\u7d00, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c41\u56de\u65e5\u672c\u6838\u533b\u5b66\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67085\u65e5<\/li>
        28. 15O-CO2\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u8133PET\u691c\u67fb\u306b\u304a\u3051\u308bCNN\u306b\u3088\u308b\u975e\u4fb5\u8972\u7684\u306a\u5165\u529b\u95a2\u6570\u306e\u63a8\u5b9a
          \u9ad8\u6728 \u8000\u4ecb, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c41\u56de\u65e5\u672c\u6838\u533b\u5b66\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67085\u65e5<\/li>
        29. 18F-FDG-PET\/CT\u691c\u67fb\u306eCT\u753b\u50cf\u306b\u304a\u3051\u308b\u5927\u52d5\u8108\u306e\u7269\u4f53\u691c\u51fa \u4e0b\u5ddd \u88d5\u5e73, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c41\u56de\u65e5\u672c\u6838\u533b\u5b66\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u540d\u53e4\u5c4b 2021\u5e7411\u67085\u65e5<\/li>
        30. GAN\u3092\u7528\u3044\u305fPET\u753b\u50cf\u306e\u753b\u8cea\u6539\u5584\u306b\u3064\u3044\u3066\u306e\u691c\u8a0e \u897f\u4e0a \u5065\u592a\u6717, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c60\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u5927\u4f1a\u3001\u672d\u5e4c 2021\u5e7410\u670823\u65e5<\/li>
        31. 18F-FDG\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u8133PET\u30b9\u30ad\u30e3\u30f3\u306b\u304a\u3051\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u77ed\u6642\u9593\u53ce\u96c6\u753b\u50cf\u306e\u753b\u8cea\u6539\u5584\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u958b\u767a\u306e\u8a66\u307f \u6589\u85e4 \u9053\u7d00, \u52a0\u85e4\u5343\u6075\u6b21
          \u7b2c60\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u5927\u4f1a\u3001\u672d\u5e4c 2021\u5e7410\u670823\u65e5<\/li>
        32. Estimation of 10-minute acquired images from 5-minute acquired images using deep learning in 18F-FDG dynamic PET scan
          Mui saito, Kentaro Nishigami, Chietsugu Katoh, Kenji Hirata, Keiichi Magota
          \u7b2c77\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u6a2a\u6d5c 2021\u5e744\u670815\u65e5<\/li>
        33. Evaluation of Super-Resolution of PET Images Using Generative Adversarial Network
          Kentaro Nishigami, Mui saito, Chietsugu Katoh, Keiichi Magota, Kenji Hirata
          \u7b2c77\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u6a2a\u6d5c 2021\u5e744\u670815\u65e5<\/li>
        34. PET\u753b\u50cf\u306b\u304a\u3051\u308b\uff13\u6b21\u5143\u8d85\u89e3\u50cf\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u958b\u767a\u3068\u691c\u8a0e
          Hiroki Endo, Chietsugu Katoh, Kenji Hirata, Keiichi Magota
          \u7b2c77\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\u3001\u6a2a\u6d5c 2021\u5e744\u670815\u65e5<\/li>
        35. 18F-FDG \u30c0\u30a4\u30ca\u30df\u30c3\u30af\u8133PET\u691c\u67fb\u306b\u304a\u3051\u308bDeep learning \u3092\u7528\u3044\u305f\u52d5\u8108\u8840\u6f3f\u653e\u5c04\u80fd\u66f2\u7dda\u306e\u63a8\u5b9a \u52a0\u85e4\u5343\u6075\u6b21, \u77f3\u5c71\u656c\u609f, \u5e73\u7530\u5065\u53f8
          \u7b2c80\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a\u3001\u6a2a\u6d5c 2021\u5e744\u670816\u65e5<\/li>
        36. \u6a4b\u672c\u5b5d\u4e4b\uff1a\u5c0f\u5150\u8133\u795e\u7d4c\u816b\u760d\u306e\u653e\u5c04\u7dda\u7642\u6cd5
          WOW\uff01051\u30002022\u5e742\u670810\u65e5\uff08Online \u8b1b\u6f14\uff09
          \u30bf\u30a4\u30c8\u30eb\uff1a\u5c0f\u5150\u79d1\u9818\u57df\u306e\u9032\u6b69<\/li>
        37. \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c34\u56de\u5b66\u8853\u5927\u4f1a \u30aa\u30f3\u30e9\u30a4\u30f3 2021.11.12-14
          \u5f8c\u85e4\u5927\u5730\u3001\u7530\u6751\u660c\u4e5f\u3001\u5b89\u7530\u8015\u2015\u3001\u9234\u6728\u9686\u4ecb\u3001\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e0a\u984e\u6d1e\u764cGTV\u81ea\u52d5\u62bd\u51fa\u6cd5\u306e\u7cbe\u5ea6\u8a55\u4fa1<\/li>
        38. \u7b2c10\u56deHokkaido image forum in Rheumatology
          \u95a2\u7bc0MRI\u6700\u65b0\u306e\u8a71\u984c
          2021\u5e746\u670811\u65e5\u3000\u672d\u5e4c\u4eac\u738b\u30d7\u30e9\u30b6\u30db\u30c6\u30eb\u3088\u308a\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u8b1b\u6f14
          \u795e\u5cf6\u3000\u4fdd<\/li>
        39. \u897f\u5ca1\u84bc\u4e00\u90ce, \u5449\u79c9\u4fee, \u77e2\u30f6\u90e8\u4fca\u5f70, Amato J. Giaccia, Quynh-Thu Le, \u9752\u5c71\u82f1\u53f2, \u6e05\u6c34\u4f38\u4e00, \u767d\u571f\u535a\u6a39, \u5c0f\u91ce\u5bfa\u5eb7\u4ec1, \u5357\u74a1\u65fc
          Rab27b\u306f\u795e\u7d4c\u81a0\u82bd\u816b\u306e\u653e\u5c04\u7dda\u62b5\u6297\u6027\u3084\u3001Epiregulin\u3092\u4ecb\u3057\u305f\u30d1\u30e9\u30af\u30e9\u30a4\u30f3\u52b9\u679c\u3092\u4fc3\u9032\u3059\u308b
          \u65e5\u672c\u653e\u5c04\u7dda\u5f71\u97ff\u5b66\u4f1a\u7b2c64\u56de\u5927\u4f1a, 2021\u5e749\u6708, \u30b6\u30fb\u30d2\u30ed\u30b5\u30ef\u30fb\u30b7\u30c6\u30a3\u4f1a\u9928\uff08WEB\u958b\u50ac\uff09<\/li>
        40. \u677e\u6d66\u5999\u5b50\uff1a \u967d\u5b50\u30d3\u30fc\u30e0\u3092\u4f7f\u3063\u305f\u6700\u5148\u7aef\u306e\u304c\u3093\u6cbb\u7642\u3001KEK-day\u30012021.11<\/li>
        41. \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a(JASTRO) \u7b2c34\u56de\u5b66\u8853\u5927\u4f1a
          \u300c\u304c\u3093\u653e\u5c04\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308b\u7642\u990a\u30fb\u5c31\u52b4\u4e21\u7acb\u652f\u63f4\u306b\u95a2\u3059\u308b\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u300d
          \u897f\u5ca1\u5065\u592a\u90ce\u3001\u7acb\u77f3\u6e05\u4e00\u90ce\u3001\u6d45\u5ddd\u52c7\u96c4\u3001\u5185\u6d77\u66a2\u5b50\u3001\u9752\u5c71\u82f1\u53f2\u3001\u9ad9\u6a4b\u5065\u592b\u3001\u8302\u677e\u76f4\u4e4b\u3001\u767d\u571f\u535a\u6a39<\/li>
        42. \u77f3\u5ddd\u6b63\u7d14\u3001\u300c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u76ae\u819a\u88ab\u3070\u304f\u7dda\u91cf\u30e2\u30cb\u30bf\u306e\u958b\u767a\u300d2021\u5e74\u5ea6\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u79cb\u5b63\u5927\u4f1a \u8a08\u6e2c\u9632\u8b77\u30bb\u30df\u30ca\u30fc(2021.11.7) \u672d\u5e4c<\/li>
        43. \u77f3\u5ddd \u6b63\u7d14\u3001\u5cef\u6751\u4fca\u884c\u3001\u9060\u5c71 \u5c1a\u7d00\u3001\u5c0f\u91ce \u667a\u535a\u3001\u9ad8\u6a4b \u826f\u3001\u5ca1\u672c\u88d5\u4e4b\u3001\u897f\u5c3e \u798e\u6cbb\u3001\u6238\u677f\u5b5d\u6587\u300c\u7dda\u91cf\u5206\u5e03\u89e3\u6790\u306b\u304a\u3051\u308b\u7d71\u8a08\u5b66\u7684\u5224\u5b9a\u57fa\u6e96\u306b\u95a2\u3059\u308b\u8003\u5bdf\u300d\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c34\u56de\u5b66\u8853\u5927\u4f1a(2021.11.12-14) \u4ed9\u53f0<\/li>
        44. \u77f3\u5ddd\u6b63\u7d14\u3001\u300c\u5317\u6d77\u9053\u5927\u5b66\u306b\u304a\u3051\u308b\u533b\u7642\u6a5f\u5668\u958b\u767a\u306e\u4e8b\u4f8b\u7d39\u4ecb\uff5eSyncTraX\u3001MIDSOF\u306a\u3069\u306e\u958b\u767a\u306b\u3064\u3044\u3066\uff5e\u300d2021\u5e74\u5ea6\u533b\u7642\u653e\u5c04\u7dda\u6280\u8853\u7814\u7a76\u4f1a(2022.1.8) \u6771\u4eac<\/li>
        45. \u5c71\u4e0b\u53cb\u8f14\u3001\u4f50\u3005\u6728 \u6587\u535a\u3001\u4e2d\u91ce \u8061\u3001\u77f3\u5ddd \u6b63\u7d14\u300c\u5149\u5b66\u5f0f3\u6b21\u5143\u8868\u9762\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u305f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u60a3\u8005\u4f4d\u7f6e\u5408\u308f\u305b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u958b\u767a\u300d\u7b2c35\u56de\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a\u5b66\u8853\u5927\u4f1a (2022.3.5) \u540d\u53e4\u5c4b\uff08Web\u958b\u50ac\u306b\u5909\u66f4\uff09<\/li><\/ol>

          Other Presentations [International Conference]\uff1a\u5b66\u4f1a\u767a\u8868(\u56fd\u969b)<\/h3>
          1. M.Otsuka, K.Yasuda, H.Minatogawa, Y.Fujita1Y.Uchinami, F.Koizumi, R.Suzuki, N.Miyamoto, T.Suzuki, N.Tsushima, S.Kano, J.Taguchi, Y.Shimizu, A.Homma, S.Shimizu, H.Aoyama, A dosimetric analysis of locoregional failure using deformable image registration in hypopharyngeal cancer after sequential-boost intensity-modulated radiotherapy. 2021 ASTRO Annual Meeting, Chicago, October 24-27, 2021<\/li>
          2. Koki Kasamatsu\uff0cHikaru Hosoi\uff0cSodai Tanaka\uff0cKoichi Miyazaki\uff0cSeishin Takao\uff0cNaoki Miyamoto\uff0cKikuo Umegaki\uff0cTakayuki Hashimoto\uff0cKentaro Nishioka\uff0cShinichi Shimizu\uff0cTaeko Matsuura, Influence of Sub-Lethal Damage Repair On Biological Effectiveness of Proton with the Consideration of Dose Delivery Time Structure in Scanning Proton Therapy, AAPM2021 63rd Annual Meeting, Virtual meeting, July 25-29 2021<\/li>
          3. Takaaki Fujii\uff0cSeishin Takao\uff0cTaeko Matsuura\uff0cShusuke Hirayama\uff0cNaoki Miyamoto\uff0cKikuo Umegaki\uff0cShinichi Shimizu\uff0cHiroki Shirato, Histogram Analysis Method of Water Equivalent Path Length to Evaluate Dose Variation Due to Anatomical Change in Spot-Scanning Proton Beam Therapy, AAPM2021 63rd Annual Meeting, Virtual meeting, July 25-29 2021<\/li>
          4. Tha KK, Katscher U, Yabe I, Hyodoh H. Noninvasive Assessment Of The Cerebrospinal Fluid Composition By MRI: Does Electric Properties Tomography Have A Role? the 107th Scientific Assembly and Annual Meeting of the Radiological Society of North America (12\/2\/2021) (e-poster)<\/li>
          5. Hossain E., Higashino F.: Application of oncolytic adenovirus to desmoplastic pancreatic cancer, AACR Pancreatic Cancer, 2021.9.29-30, Virtual Special Conference<\/li>
          6. 18F-FDG dynamic brain PET study estimating the arterial plasma radioactivity curve using a convolutional neural network (CNN) Keisuke Kawauchi, Chietsugu Katoh
            Annual Congress of the European Association of Nuclear Medicine (EANM'21) Web meeting 2021\u5e7410\u670820\u65e5<\/li>
          7. Strategy to estimate the time-activity curve of arterial plasma in 18F-FDG dynamic brain PET study with Convolutional Neural Network
            Chietsugu Katoh, Keigo Ishiyama, Keiichi Magota, Kenji Hirata
            Society of Muclear Medicine and Molecular Imaging (SNMMI) 2021 annual meeting, Washington DC, USA (Web meeting) 2021\u5e746\u670811\u65e5<\/li>
          8. APLAR 2021 The Asia Pacific League of Associations for Rheumatology (APLAR) 28 August 2021
            Livestreaming from Kyoto International Convention Centre
            Cartilage evaluation of RA
            Tamotsu Kamishima (Faculty of Health Sciences, Hokkaido Univ., Japan)<\/li>
          9. APLAR 2021 The Asia Pacific League of Associations for Rheumatology (APLAR) 28 August 2021
            Livestreaming from Kyoto International Convention Centre
            Synovitis and bone inflammation of RA
            Tamotsu Kamishima (Faculty of Health Sciences, Hokkaido Univ., Japan)<\/li>
          10. Asian Musculoskeletal Society 4th AMS vitural meeting on 1st April,2021.
            MR imaging of Rheumatoid Arthritis and Related Diseases
            Tamotsu Kamishima (Faculty of Health Sciences, Hokkaido Univ., Japan)<\/li>
          11. 18th AOCR2021 Spring in Yokohama
            Educational Lecture 3
            (On-demand Program)
            Trends in musculoskeletal imaging
            EL3-4 Imaging of the hand and wrist
            Tamotsu Kamishima (Faculty of Health Sciences, Hokkaido Univ., Japan)<\/li>
          12. Hashimoto T\uff1aThe 8th GCB Biomedical Science and Engineering Symposium (Online, March 22 - March 23 , 2022) Discussant<\/li>
          13. The 9th Korea-Japan Joint Meeting on Medical Physics, September 9~10, 2021
            Ryusuke Suzuki, Reo Maeda, Takashi Asano, Yuki Saito, Naoki Miyamoto, Takahiro Kanehira, Masaya Tamura, Study of Interplay Effect for Stomach IMRT Using the XCAT Phantom<\/li>
          14. Masayori Ishikawa, Ryo Ogawara, Kentaro Baba, Shu Ishiguri, Hikaru Handa, \u201cFeasibility study on energy-dependent neutron flux monitor using multi-core SOF detector,\u201d 19th International Congress of Neutron Capture Therapy (2021.9.5-10) Granada.<\/li><\/ol><\/section>","protected":false},"excerpt":{"rendered":"Special Lecture\uff1a\u7279\u5225\u516c\u6f14\u7b2c33\u56de\u57fc\u7389\u770c\u653e\u5c04\u7dda\u816b\u760d\u7814\u7a76\u4f1a\u3000Web\u30002021.9.11\u9752\u5c71\u82f1\u53f2\uff1a\u8ee2\u79fb\u6027\u8133\u816b\u760d\u306e\u653e\u5c04\u7dda\u6cbb\u7642\uff1a\u7167\u5c04\u6cd5\u9078\u629e\u306e\u300c\u79c1\u306e\u300d\u601d\u8003\u904e\u7a0b\uff08\u7279\u5225\u8b1b\u6f14\uff09Invited Lectures [Japan […]","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\/1421"}],"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=1421"}],"version-history":[{"count":7,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages\/1421\/revisions"}],"predecessor-version":[{"id":1469,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/pages\/1421\/revisions\/1469"}],"wp:attachment":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/gcb.med\/JP\/wp-json\/wp\/v2\/media?parent=1421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}