{"id":11,"date":"2022-03-12T16:28:57","date_gmt":"2022-03-12T07:28:57","guid":{"rendered":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/?page_id=11"},"modified":"2026-02-27T16:56:19","modified_gmt":"2026-02-27T07:56:19","slug":"presentations","status":"publish","type":"page","link":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/presentations\/","title":{"rendered":"Presentations"},"content":{"rendered":"\n

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  1. \u8fd1\u85e4\u4e16\u7bc4\uff0e\u4eba\u5de5\u77e5\u80fd\u306e\u533b\u7642\u5fdc\u7528\u306e\u3053\u308c\u307e\u3067\u3068\u3053\u308c\u304b\u3089\uff0eJIRA\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\uff1a\u533b\u7642\u6a5f\u5668\u3078\u306eAI\u5c0e\u5165\u301c\u306a\u305cAI\u304c\u53f0\u982d\u3057\u305f\u306e\u304b\u301c in \u7b2c53\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0c\u672d\u5e4c\uff0c10\/17-19\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  2. \u4f50\u3005\u6728\u96c4\u6a39\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u9752\u6728\u6b63\uff0c\u53e4\u6cc9\u76f4\u4e5f\uff0c\u5c3e\u5d0e\u5229\u90ce\uff0c\u6885\u6d25\u611b\uff0c\u95a2\u88d5\u53f2\uff0e\u8853\u524d\u9020\u5f71 CT \u753b\u50cf\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3068 radiomics \u3092\u878d\u5408\u3057\u305f\u80ba\u817a\u304c\u3093\u8853\u5f8c\u518d\u767a\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a\uff0e\u7b2c53\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0c\u672d\u5e4c\uff0c10\/17-19\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  3. \u897f\u6751\u3061\u3072\u308d\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u6885\u6d25\u611b\uff0e\u5e02\u5ddd\u7fd4\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f 2 \u6b21\u5143 X \u7dda\u753b\u50cf\u304b\u3089\u306e volume rendering \u753b\u50cf\u751f\u6210\u6cd5\u306e\u958b\u767a\uff0e\u7b2c53\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0c\u672d\u5e4c\uff0c10\/17-19\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  4. \u6a4b\u4e0b\u6dbc\u5e73\uff0c\u5e02\u5ddd\u7fd4\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u9ad8\u6a4b\u76f4\u4e5f\uff0e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306b\u3088\u308b CT \u753b\u50cf\u4e0a\u306e\u80f8\u9aa8\u5f62\u72b6\u7279\u5fb4\u91cf\u306b\u57fa\u3065\u304f\u500b\u4eba\u8b58\u5225\u6cd5\u306e\u63d0\u6848\uff0e\u7b2c53\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0c\u672d\u5e4c\uff0c10\/17-19\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  5. \u5e02\u5ddd\u7fd4\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u62e1\u6563\u30e2\u30c7\u30eb\u306b\u3088\u308b\u6551\u6025CT\u304b\u3089\u6cbb\u7642\u5f8cDWI\u3078\u306e\u5909\u63db\uff1a\u6025\u6027\u671f\u8133\u6897\u585e\u306e\u6700\u7d42\u6897\u585e\u5de3\u4e88\u6e2c\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a (MII)\u4ee4\u548c7\u5e74\u5ea6\u79cb\u5b63(\u7b2c203\u56de)\u2f24\u4f1a\uff0c\u5ca1\u5c71\uff0c10\/11\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  6. \u585a\u539f\u6176\u9580\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u5c0f\u6797\u685c\u5b50\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u5c0f\u6797\u516c\u4e00\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u9aa8\u76e4\u90e8X\u7dda\u52d5\u753b\u50cf\u306b\u304a\u3051\u308b\u4eba\u5de5\u80a1\u95a2\u7bc0\u5f8c\u65b9\u8131\u81fc\u30ea\u30b9\u30af\u63a8\u5b9a\u306e\u753b\u50cf\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a (MII)\u4ee4\u548c7\u5e74\u5ea6\u79cb\u5b63(\u7b2c203\u56de)\u2f24\u4f1a\uff0c\u5ca1\u5c71\uff0c10\/11\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  7. \u5009\u5143\u9054\u77e2\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u5ca1\u54f2\u4e5f\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u30a4\u30f3\u30b7\u30c7\u30f3\u30c8\u30ec\u30dd\u30fc\u30c8\u4f5c\u6210\u306b\u304a\u3051\u308b\u521d\u671f\u691c\u8a0e\uff0e\u7b2c81\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/10-13\uff0c2025\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  8. Manami Umezu, Yohan Kondo, Yuki Sasaki, Shota Ichikawa, Koji Kaneko, Toshiro Ozaki, Yaoya Koizumi, Hiroshi Seki. Use of artificial intelligence for prediction of breast cancer recurrence from preoperative contrast-enhanced CT and clinical information. International Forum on Medical Imaging in Asia (IFMIA). Takamatsu, Japan, 20-21 March, 2025. (ConfWeb<\/a>)<\/li>\n\n\n\n
  9. Shota Ichikawa, Yohan Kondo, Satoshi Yokoyama. Pixel-by-Pixel Quantification of Acute Ischemic Stroke in CT Perfusion Imaging using Fractal Analysis. International Forum on Medical Imaging in Asia (IFMIA). Takamatsu, Japan, 20-21 March, 2025. (ConfWeb<\/a>)<\/li>\n\n\n\n
  10. Takuya Adachi, Yohan Kondo. Clinical usefulness of combined use of high-resolution CT and deep learning-based reconstruction in CT virtual bronchoscopy. International Forum on Medical Imaging in Asia (IFMIA). Takamatsu, Japan, 20-21 March, 2025. (ConfWeb<\/a>)<\/li>\n\n\n\n
  11. Hirokazu Takano, Yohan Kondo, Shota Ichikawa, Shu Onodera. Usefulness of GANs-based Iodine Map Images on Computed Tomography. International Forum on Medical Imaging in Asia (IFMIA). Takamatsu, Japan, 20-21 March, 2025. (ConfWeb<\/a>)<\/li>\n\n\n\n
  12. \u5c0f\u6797\u685c\u5b50\uff0c\u6728\u4fe3\u592a\u4e00\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u4f50\u85e4\u5145\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e73\u817a\u8d85\u97f3\u6ce2\u52d5\u753b\u50cf\u306b\u304a\u3051\u308b\u816b\u760d\u9818\u57df\u81ea\u52d5\u62bd\u51fa\u6cd5\u306e\u691c\u8a0e\uff0e\u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a\uff0c\u5b9c\u91ce\u6e7e\uff0c10\/31-11\/3\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  13. \u4f0a\u85e4\u674f\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u3088\u308b\u753b\u50cf\u89e3\u5256\u306e\u5b66\u7fd2\u652f\u63f4\u306e\u6709\u7528\u6027\u3068\u8ab2\u984c\uff0e\u7b2c1\u56de\u65e5\u672c\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a\uff0c\u5b9c\u91ce\u6e7e\uff0c10\/31-11\/3\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  14. \u5e02\u5ddd\u7fd4\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7686\u5ddd\u9756\u5b50\uff0c\u4f0a\u8cc0\u654f\u90ce\uff0e\u7570\u306a\u308b\u30c9\u30e1\u30a4\u30f3\u3092\u6709\u3057\u305f\u8d85\u97f3\u6ce2\u753b\u50cf\u306b\u304a\u3051\u308b\u4e73\u5150\u80a1\u95a2\u7bc0\u72b6\u614b\u306e\u81ea\u52d5\u5206\u985e\uff0e2024\u5e74\u5ea6\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u5927\u4f1a\uff0c\u5c90\u961c\uff0c10\/19\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  15. \u6885\u6d25\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u91d1\u5b50\u8015\u53f8\uff0c\u53e4\u6cc9\u76f4\u4e5f\uff0c\u5c3e\u5d0e\u5229\u90ce\uff0c\u4f50\u3005\u6728\u96c4\u6a39\uff0c\u5e02\u5ddd\u7fd4\u592a\uff0c\u95a2\u88d5\u53f2\uff0e\u81e8\u5e8a\u30c7\u30fc\u30bf\u3068\u8853\u524d\u9020\u5f71CT\u753b\u50cf\u3092\u7528\u3044\u305f\u6d78\u6f64\u6027\u4e73\u7ba1\u764c\u306e\u8853\u5f8c\u518d\u767a\u4e88\u6e2c\u6cd5\u306e\u958b\u767a\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u5275\u7acb60\u5468\u5e74200\u56de\u8a18\u5ff5\u5927\u4f1a\uff0c\u5927\u962a\uff0c10\/5\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  16. \u6885\u6d25\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u95a2\u5e84\u4e8c\uff0c\u6709\u99ac\u79c0\u5e78\uff0e\u601d\u6625\u671f\u7279\u767a\u6027\u5074\u5f2f\u75c7\u60a3\u8005\u306e\u5c06\u6765\u7684\u306a\u5074\u5f2f\u306e\u9032\u884c\u3092\u521d\u8a3a\u6642\u306b\u4e88\u6e2c\u3059\u308b\u624b\u6cd5\u306e\u958b\u767a\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u5275\u7acb60\u5468\u5e74200\u56de\u8a18\u5ff5\u5927\u4f1a\uff0c\u5927\u962a\uff0c10\/5\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  17. \u6728\u4fe3\u592a\u4e00\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u5c0f\u6797\u685c\u5b50\uff0c\u8fd1\u85e4\u9054\u4e5f\uff0c\u5e02\u5ddd\u7fd4\u592a\uff0c\u4f50\u85e4\u5145\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u9818\u57df\u62bd\u51fa\u304a\u3088\u3073\u810a\u690e\u30d1\u30e9\u30e1\u30fc\u30bf\u8a08\u6e2c\u81ea\u52d5\u5316\u306e\u691c\u8a0e\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u5275\u7acb60\u5468\u5e74200\u56de\u8a18\u5ff5\u5927\u4f1a\uff0c\u5927\u962a\uff0c10\/5\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  18. \u6d45\u4e95\u7fa9\u884c\uff0c\u5c71\u5ba4\u7f8e\u4f73\uff0c\u5c71\u7530\u8a89\u5927\uff0c\u6728\u6751\u7950\u4e00\uff0c\u77f3\u4e95\u4e00\u6210\uff0c\u4e2d\u6751\u512a\u4ecb\uff0c\u5927\u585a\u88d5\u6b21\u6717\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0eX\u7dda\u64ae\u50cf\u60c5\u5831\u3092\u5229\u7528\u3057\u305f\u4e73\u817a\u5bc6\u5ea6\u63a8\u5b9a\u30e2\u30c7\u30eb\u306e\u958b\u767a\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u5275\u7acb60\u5468\u5e74200\u56de\u8a18\u5ff5\u5927\u4f1a\uff0c\u5927\u962a\uff0c10\/5\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  19. Satoru Utsunomiya, Kazuki Mayumi, Yuto Kimura, Yusuke Watanabe, Madoka Sakai, Rin Suzuki, Hisashi Nakano, Satoshi Tanabe, Motoki Kaidu, Yohan Kondo, Ryuta Sasamoto and Hiroyuki Ishikawa. Unsupervised Anomaly Detection with Generative Adversarial Network for Volumetric Modulated Radiation Therapy. AAPM 66th Annual Meeting & Exhibition, Los Angeles, USA, 21-25 July, 2024. (Abstract<\/a>)<\/li>\n\n\n\n
  20. Takayuki Nishikata, Satoru Utsunomiya, Madoka Sakai, Tomotaka Kinoshita, Natsuki Ishizaka, Ryuta Sasamoto, Yohan Kondo, Eisuke Wakatsuki and Takeshi Ito. Machine Learning with Radiomic Features of Epid-Measured Fluence Maps to Detect Patient Positional Error for Head and Neck IMRT. AAPM 66th Annual Meeting & Exhibition, Los Angeles, USA, 21-25 July, 2024. (Abstract<\/a>)<\/li>\n\n\n\n
  21. \u9ad8\u91ce\u535a\u548c\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u77f3\u6fa4\u5100\u6a39\uff0c\u5c0f\u91ce\u5bfa\u5d07\uff0eX\u7ddaCT\u306b\u304a\u3051\u308b\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u591a\u65ad\u9762\u753b\u50cf\u306e\u751f\u6210\u7cbe\u5ea6\uff0e\u7b2c80\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/11-14\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  22. \u6885\u6d25\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u91d1\u5b50\u8015\u53f8\uff0c\u53e4\u6cc9\u76f4\u4e5f\uff0c\u5c3e\u5d0e\u5229\u90ce\uff0c\u4f50\u3005\u6728\u96c4\u6a39\uff0c\u95a2\u88d5\u53f2\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8853\u524d\u9020\u5f71CT\u753b\u50cf\u306b\u304a\u3051\u308b\u6d78\u6f64\u6027\u4e73\u7ba1\u764c\u306e\u518d\u767a\u4e88\u6e2c\uff0e\u7b2c80\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/11-14\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  23. \u6e21\u8fba\u60a0\u4ecb\uff0c\u9234\u6728\u51db\uff0c\u771e\u5f13\u548c\u8f1d\uff0c\u5742\u4e95\u307e\u3069\u304b\uff0c\u6728\u6751\u7950\u5229\uff0c\u4e2d\u91ce\u6c38\uff0c\u68da\b\u908a\u54f2\u53f2\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7b39\u672c\u9f8d\u592a\uff0c\u5b87\u90fd\u5bae\u609f\uff0eMLC\u4f4d\u7f6e\u30a8\u30e9\u30fc\u767a\u751f\u6642\u306e\u30d5\u30eb\u30a8\u30f3\u30b9\u5206\u5e03\u306e\u30c7\u30eb\u30bf\u30e9\u30b8\u30aa\u30df\u30af\u30b9\u7279\u5fb4\u91cf\u3068DVH\u30d1\u30e9\u30e1\u30fc\u30bf\u5909\u52d5\u306e\u76f8\u95a2\uff0e\u7b2c127\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/11-14\uff0c2024\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  24. Yuina Ezawa, Haruyuki Watanabe, Kazuho Saito, Yohan Kondo, Momoko Koshizuka, Yuto Takeda, Norio Hayashi, Sho Maruyama, Toshihiro Ogura, Masayuki Shimosegawa. Automated evaluation of radiograph accuracy using deep learning with explainable artificial intelligence. RSNA2023 (109th Scientific Assembly and Annual Meeting of the Radiological Society of North America), Chicago, USA, Nov 26 – 30, 2023.<\/li>\n\n\n\n
  25. \u8fd1\u85e4\u4e16\u7bc4\uff0e\u6df1\u90e8\u9759\u8108\u8840\u6813\u75c7\u306b\u5bfe\u3059\u308b\u7c21\u6613\u8a3a\u65ad\u30c4\u30fc\u30eb\u306e\u958b\u767a\uff0eMDF2023\u7b2c6\u56de\u533b\u5de5\u9023\u643a\u30de\u30c3\u30c1\u30f3\u30af\u3099\u4f8b\u4f1a\uff0e\u5927\u962a\uff0e11\/13\uff0c2023\uff0e<\/li>\n\n\n\n
  26. \u8fd1\u85e4\u4e16\u7bc4\uff0e\u753b\u50cf\u8a3a\u65ad\u652f\u63f4AI\u306e\u7814\u7a76\u52d5\u5411\uff0e\u7b2c77\u56de\u65b0\u6f5f\u753b\u50cf\u533b\u5b66\u7814\u7a76\u4f1a\uff0e\u65b0\u6f5f\uff0e11\/11\uff0c2023\uff0e <\/li>\n\n\n\n
  27. \u5b89\u9054\u5353\u4e5f\uff0c\u4ed6\uff0e\u80ba\u91ce\u7528\u6df1\u5c64\u5b66\u7fd2\u5fdc\u7528\u518d\u69cb\u6210\u3092\u7528\u3044\u305f\u8d85\u9ad8\u7cbe\u7d30CT\u306b\u304a\u3051\u308bCT\u4eee\u60f3\u6c17\u7ba1\u652f\u93e1\u306e\u753b\u8cea\u8a55\u4fa1\uff0e\u7b2c51\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0e\u540d\u53e4\u5c4b\uff0e10\/27-29\uff0c2023\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  28. \u5e02\u5ddd\u7fd4\u592a\uff0c\u5c3e\u5d0e\u8aa0\uff0c\u6749\u68ee\u535a\u884c\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\u982d\u90e8CT-Perfusion\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30c8\u30e9\u30f3\u30b1\u30fc\u30b7\u30e7\u30f3\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u88dc\u6b63\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c5\u5e74\u5ea6\u79cb\u5b63\uff08\u7b2c197\u56de\uff09\u5927\u4f1a\uff0c\u672d\u5e4c\uff0c10\/7\uff0c2023\uff0e(ConfWb<\/a>)<\/li>\n\n\n\n
  29. \u897f\u6f5f\u8cb4\u5e78\uff0c\u5b87\u90fd\u5bae\u609f\uff0c\u5742\u4e95\u307e\u3069\u304b\uff0c\u6728\u4e0b\u53cb\u8a89\uff0c\u77f3\u5742\u590f\u5e0c\uff0c\u7b39\u672c\u9f8d\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4 \uff0c\u5927\u5e73\u6643\u6210\uff0c\u6e21\u8fba\u88d5\u7d00\uff0c\u91ce\u6751\u77e5\u5e83\uff0c\u6973\u7530\u7f8e\u7a42\u5b50\uff0c\u8352\u5ddd\u512a\uff0c\u82e5\u6708\u6804\u4ecb\uff0c\u4f0a\u85e4\u731b\uff0e\u982d\u981a\u90e8IMRT \u306b\u304a\u3051\u308bEPID \u753b\u50cf\u306eradiomics \u7279\u5fb4\u91cf\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u60a3\u8005\u4f4d\u7f6e\u8aa4\u5dee\u306e\u691c\u51fa\uff0e\u7b2c126\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u5e83\u5cf6\uff0c9\/15-17\uff0c2023\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  30. Mika Yamamuro, Yoshiyuki Asai, Takahiro Yamada, Yuichi Kimura, Kazunari Ishii, Yohan Kondo. Identification of the uncompressed region on digital mammograms for volumetric breast density measurement. 17the International Congress for Radiation Research (ICRR), Montreal, Quebec, August 27-30, 2023. (ConfWeb<\/a>)<\/li>\n\n\n\n
  31. Yoshiyuki Asai, Mika Yamamuro, Takahiro Yamada, Yuichi Kimura, Kazunari Ishii, Yohan Kondo. Surmise of breast density using mammographic X-ray exposure conditions. 17the International Congress for Radiation Research (ICRR), Montreal, Quebec, August 27-30, 2023. (ConfWeb<\/a>)<\/li>\n\n\n\n
  32. Mitsuru Sato, Toshihiro Ogura, Yohan Kondo, Mizuki Narita, Aika Umemuro, Tomomi Nakayama, Ayano Nakazawa. Development of Body Position Estimation Method for Fusion Images of Virtual Endoscopy and Multi-planar Reconstruction using Sqeezenet. European Society of Gastrointestinal and Abdominal Radiology (ESGAR) 2023, Valencia, Spain, 13-16 June 2023. (ConfWeb<\/a>)<\/li>\n\n\n\n
  33. \u4f50\u85e4\u5145\uff0c\u571f\u7530\u5343\u88d5\uff0c\u5df4\u5c71\u7985\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u5ca1\u672c\u660c\u58eb\uff0eSevere Acute Respiratory Syndrome Coronavirus 2\uff08SARS-Cov-2\uff09\u306e\u611f\u67d3\u5bfe\u7b56\u306e\u305f\u3081\u306e\u30dd\u30fc\u30bf\u30d6\u30ebX\u7dda\u64ae\u5f71\u30b3\u30f3\u30bd\u30fc\u30eb\u306e\u975e\u63a5\u89e6\u64cd\u4f5c\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff0e\u7b2c79\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/13-16\uff0c2023\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  34. \u771e\u5f13\u548c\u8f1d\uff0c\u7530\u908a\u4fca\u5e73\uff0c\u4e2d\u91ce\u6c38\uff0c\u68da\u908a\u54f2\u53f2\uff0c\u6d77\u6d25\u5143\u6a39\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7b39\u672c\u9f8d\u592a\uff0c\u77f3\u5ddd\u6d69\u5fd7\uff0c\u5b87\u90fd\u5bae\u609f\uff0e\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u3088\u308b\u5f37\u5ea6\u5909\u8abf\u653e\u5c04\u7dda\u6cbb\u7642\u306e\u7570\u5e38\u691c\u77e5\uff0e\u7b2c125\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff0c\u6a2a\u6d5c\uff0c4\/13-16\uff0c2023\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  35. Mitsuru Sato, Toshihiro Ogura, Yohan Kondo, Mizuki Narita, Aika Umemuro, Ayano Nakazawa. Development of a deep-learning model to recognize the body position for incident prevention. European congress of radiology, Vienna, Austria, 1-5 March 2023.<\/li>\n\n\n\n
  36. \u4f50\u85e4\u5145\uff0c\u571f\u7530\u5343\u88d5\uff0c\u5df4\u5c71\u7985\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u4e2d\u5c71\u88d5\u4ecb\uff0eSARS-CoV-2\u306e\u611f\u67d3\u5bfe\u7b56\u306e\u305f\u3081\u306e\u975e\u63a5\u89e6\u30c7\u30d0\u30a4\u30b9\u306e\u6d3b\u7528\u65b9\u6cd5\uff1b\u30e2\u30fc\u30b7\u30e7\u30f3\u30bb\u30f3\u30b5\u306b\u3088\u308b\u64cd\u4f5c\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u6625\u5b63\uff08\u7b2c195\u56de\uff09\u5927\u4f1a\uff0c\u540d\u53e4\u5c4b\uff0c2\/11\uff0c2023\uff0e(ConfWb<\/a>)<\/li>\n\n\n\n
  37. \u8fd1\u85e4\u9054\u4e5f\uff0c\u6885\u6d25\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u4f50\u85e4\u5145\uff0c\u91d1\u6ca2\u52c9\uff0c\u80fd\u767b\u7fa9\u5e78\uff0e\u982d\u90e8CT\u306e\u4f4d\u7f6e\u6c7a\u3081\u753b\u50cf\u3092\u7528\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u4f53\u91cd\u63a8\u5b9a\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u6625\u5b63\uff08\u7b2c195\u56de\uff09\u5927\u4f1a\uff0c\u540d\u53e4\u5c4b\uff0c2\/11\uff0c2023\uff0e(ConfWb<\/a>)<\/li>\n\n\n\n
  38. \u4e2d\u5c71\u88d5\u4ecb\uff0c\u5c71\u5d0e\u5320\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u4f50\u85e4\u5145\uff0c\u5800\u4e95\u967d\u7950\uff0e\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u4e0b\u80a2\u9759\u8108\u30a8\u30b3\u30fc\u753b\u50cf\u306b\u304a\u3051\u308b\u6b63\u5e38\u9759\u8108\u3068\u8840\u6813\u3092\u4f34\u3046\u9759\u8108\u306e\u81ea\u52d5\u5206\u985e\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u6625\u5b63\uff08\u7b2c195\u56de\uff09\u5927\u4f1a\uff0c\u540d\u53e4\u5c4b\uff0c2\/11\uff0c2023\uff0e(ConfWb<\/a>)<\/li>\n\n\n\n
  39. \u4e2d\u5c71\u88d5\u4ecb\uff0c\u9234\u6728\u51dc\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u4f50\u85e4\u5145\uff0c\u5800\u4e95\u967d\u7950\uff0e\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u4e0b\u80a2\u9759\u8108\u30a8\u30b3\u30fc\u753b\u50cf\u306b\u304a\u3051\u308b\u8840\u6813\u9818\u57df\u306e\u81ea\u52d5\u62bd\u51fa\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u6625\u5b63\uff08\u7b2c195\u56de\uff09\u5927\u4f1a\uff0c\u540d\u53e4\u5c4b\uff0c2\/11\uff0c2023\uff0e(ConfWb<\/a>)<\/li>\n\n\n\n
  40. Mitsuru Sato, Masashi Okamoto, Chihiro Tsuchida, Zen Hayama, Yohan Kondo. Development of a contactless operation system for a console of potable radiography system using a motion sensor for COVID-19 infection control. IFMIA 2023 (International Forum on Medical Imaging in Asia), Jeju, Korea, Jan 10-11, 2023. (ConfWeb<\/a>)<\/li>\n\n\n\n
  41. \u5b89\u9054\u5353\u54c9\u3001\u4ed6\uff0e\u6df1\u5c64\u5b66\u7fd2\u5fdc\u7528\u518d\u69cb\u6210\u3092\u7528\u3044\u305f\u8d85\u9ad8\u7cbe\u7d30CT\u306b\u304a\u3051\u308bCT\u4eee\u60f3\u6c17\u7ba1\u652f\u93e1\u306e\u6c17\u7ba1\u652f\u63cf\u51fa\u80fd\u306b\u95a2\u3059\u308b\u7814\u7a76\uff0e\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7b2c69\u56de\u95a2\u6771\u652f\u90e8\u7814\u7a76\u767a\u8868\u5927\u4f1a\uff0c\u3064\u304f\u3070\uff0c12\/3-4\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  42. Yuina Ezawa, Haruyuki Watanabe, Hironori Fukuda, Yohan Kondo, Yumina Oyama, Rena Nishimaki, Kazuya Takahashi, Tomoki Kikuchi, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura, Shou Maruyama. Ultrasound-guided Peripheral Insertion System using Deep Learning. RSNA2022 (108th Scientific Assembly and Annual Meeting of the Radiological Society of North America), Chicago, USA, Nov 27 – Dec 1, 2022.<\/li>\n\n\n\n
  43. Haruyuki Watanabe, Kazuya Takahashi, Tomoki Kikuchi, Yohan Kondo, Yumina Oyama, Rena Nishimaki, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura, Sho Maruyama. Unsupervised learning classification of rectum region for prostate cancer during image-guided radiation therapy in CBCT. RSNA2022 (108th Scientific Assembly and Annual Meeting of the Radiological Society of North America), Chicago, USA, Nov 27 – Dec 1, 2022. <\/li>\n\n\n\n
  44. Tomoki Kikuchi, Haruyuki Watanabe, Kazuya Takahashi, Yohan Kondo, Yumina Oyama, Rena Nishimaki, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura, Sho Maruyama. Classification of rectal conditions in CBCT images for prostate cancer radiation therapy using deep learning. RSNA2022 (108th Scientific Assembly and Annual Meeting of the Radiological Society of North America), Chicago, USA, Nov 27 – Dec 1, 2022. <\/li>\n\n\n\n
  45. Rena Nishimaki, Haruyuki Watanabe, Sara Shinohara, Yohan Kondo, Yumina Oyama, Kazuya Takahashi, Tomoki Kikuchi, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura, Sho Maruyama. Estimating Vascular Age in Carotid Ultrasound using Deep Learning. RSNA2022 (108th Scientific Assembly and Annual Meeting of the Radiological Society of North America), Chicago, USA, Nov 27 – Dec 1, 2022. <\/li>\n\n\n\n
  46. \u5c71\u5ba4\u7f8e\u4f73\uff0c\u6d45\u4e95\u7fa9\u884c\uff0c\u6a4b\u672c\u76f4\u7f8e\uff0c\u5b89\u7530\u5948\u751f\uff0c\u6728\u6751\u6d69\u90fd\uff0c\u4efb\u8aa0\u96f2\uff0c\u77f3\u4e95\u4e00\u6210\uff0c\u5c71\u7530\u8a89\u5927\uff0c\u6839\u672c\u5145\u8cb4\uff0c\u6728\u6751\u88d5\u4e00\uff0c\u5409\u7530\u4e45\uff0c\u534a\u7530\u4e45\u5fd7\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0e\uff13\u6b21\u5143\u4e73\u817a\u5bc6\u5ea6\u3092\u6307\u6a19\u3068\u3057\u305fU-net\u306e\u4e73\u817a\u9818\u57df\u81ea\u52d5\u62bd\u51fa\u7cbe\u5ea6\u306e\u8a55\u4fa1\uff0e\u7b2c32\u56de\u65e5\u672c\u4e73\u764c\u691c\u8a3a\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a\u5927\u4f1a\uff0c\u6d5c\u677e\uff0c11\/11-12\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  47. \u897f\u6f5f\u8cb4\u5e78\uff0c\u5b87\u90fd\u5bae\u609f\uff0c\u5742\u4e95\u307e\u3069\u304b\uff0c\u6728\u4e0b\u53cb\u8a89\uff0c\u77f3\u5742\u590f\u5e0c\uff0c\u7b39\u672c\u9f8d\u592a\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u6e21\u8fba\u88d5\u7d00\uff0c\u91d1\u5c71\u6075\uff0c\u91ce\u6751\u77e5\u5e83\uff0c\u8352\u5ddd\u512a\uff0c\u82e5\u6708\u6804\u4ecb\uff0c\u4f0a\u85e4\u731b\uff0eEPID\u753b\u50cf\u306eradiomics\u7279\u5fb4\u91cf\u3068\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u60a3\u8005\u4f4d\u7f6e\u8aa4\u5dee\u306e\u691c\u51fa\uff0e\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c35\u56de\u5b66\u8853\u5927\u4f1a\uff0e\u5e83\u5cf6\uff0c11\/10-12\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  48. \u9ad8\u91ce\u535a\u548c\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u77f3\u6fa4\u5100\u6a39\uff0c\u5c0f\u91ce\u5bfa\u5d07\uff0c\u9f4b\u85e4\u6b63\u654f\uff0epix2pix\u306b\u3088\u308b\u30e8\u30fc\u30c9\u30de\u30c3\u30d7\u753b\u50cf\u306e\u751f\u6210\uff0e\u7b2c50\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0e\u6771\u4eac\uff0c10\/7-9\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  49. \u5c0f\u91ce\u5bfa\u5d07\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u77f3\u6ca2\u7965\u5b50\uff0c\u5ddd\u7551\u670b\u6842\uff0c\u77f3\u4e95\u6d69\u751f\uff0eEffective DQE\u3092\u7528\u3044\u305f\u30c7\u30a3\u30b8\u30bf\u30eb\u80f8\u90e8X\u7dda\u64ae\u5f71\u306b\u304a\u3051\u308b\u81f3\u9069\u7dda\u8cea\u306e\u63a8\u5b9a-\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u816b\u7624\u9818\u57df\u62bd\u51fa\u7cbe\u5ea6\u3068\u306e\u95a2\u4fc2-\uff0e\u7b2c50\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u5927\u4f1a\uff0e\u6771\u4eac\uff0c10\/7-9\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  50. \u8fd1\u85e4\u4e16\u7bc4\uff0c\u4f50\u85e4\u5145\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u9ad8\u6a4b\u76f4\u4e5f\uff0e\u751f\u524d\u30fb\u6b7b\u5f8cCT\u753b\u50cf\u306b\u304a\u3051\u308b\u80f8\u690e\u5f62\u72b6\u7279\u5fb4\u306b\u57fa\u3065\u304f\u500b\u4eba\u8b58\u5225\u6cd5\u306e\u958b\u767a\u8a0e\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u5e74\u6b21\uff08\u7b2c194\u56de\uff09\u5927\u4f1a\uff0c\u4ed9\u53f0\uff0c10\/1\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  51. \u4f50\u3005\u6728\u96c4\u6a39\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u9752\u6728\u6b63\uff0c\u53e4\u6cc9\u76f4\u4e5f\uff0c\u5c3e\u5d0e\u5229\u90ce\uff0c\u7530\u6751\u611b\uff0c\u95a2\u88d5\u53f2\uff0e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u80ba\u817a\u764c\u8853\u5f8c\u518d\u767a\u4e88\u6e2c\u306b\u304a\u3051\u308b\u8853\u524d\u9020\u5f71\u304a\u3088\u3073\u975e\u9020\u5f71CT\u753b\u50cf\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308b\u691c\u8a0e\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u5e74\u6b21\uff08\u7b2c194\u56de\uff09\u5927\u4f1a\uff0c\u4ed9\u53f0\uff0c10\/1\uff0c2022\uff0e\uff08ConfWeb<\/a>\uff09<\/li>\n\n\n\n
  52. \u6cc9\u7530\u8cb4\u7f8e\u5b50\uff0c\u5185\u5c71\u7f8e\u679d\u5b50\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7530\u6751\u611b\uff0e\u4e73\u304c\u3093\u306b\u304a\u3051\u308b\u6297\u304c\u3093\u5264\u6cbb\u7642\u3092\u53d7\u3051\u305f\u60a3\u8005\u306e\u8131\u6bdb\u982d\u76ae\u306e\u5b9a\u91cf\u8a55\u4fa1\uff0e\u7b2c61\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c6\/28-30\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  53. \u4e2d\u5c71\u88d5\u4ecb\uff0c\u7530\u6751\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u4f50\u85e4\u5145\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u7686\u5ddd\u9756\u5b50\uff0c\u5185\u5c71\u7f8e\u679d\u5b50\uff0eDVT\u8a3a\u65ad\u306b\u81f3\u9069\u306a\u4e0b\u80a2\u9759\u8108\u30a8\u30b3\u30fc\u65ad\u9762\u50cf\u306e\u81ea\u52d5\u8b58\u5225\uff0e\u7b2c61\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c6\/28-30\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  54. \u4f50\u3005\u6728\u96c4\u6a39\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u9752\u6728\u6b63\uff0c\u95a2\u88d5\u53f2\uff0c\u53e4\u6cc9\u76f4\u4e5f\uff0c\u5c3e\u5d0e\u5229\u90ce\uff0e\u80ba\u817a\u764c\u8853\u5f8c\u518d\u767a\u4e88\u6e2c\u306e\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8853\u524dCT\u753b\u50cf\u89e3\u6790\uff0e\u7b2c61\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c6\/28-30\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  55. \u5bae\u6fa4\u5e78\u592a\u90ce\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u80fd\u767b\u7fa9\u5e78\uff0c\u9152\u4e95\u5065\uff0c \u9ad8\u6a4b\u76f4\u4e5f\uff0c\u7b39\u672c\u9f8d\u592a\uff0eDCNN\u306b\u3088\u308b\u8179\u90e8\u518d\u69cb\u6210CT\u753b\u50cf\u306b\u304a\u3051\u308b\u51fa\u8840\u6709\u7121\u306e\u81ea\u52d5\u5206\u985e\uff0e\u7b2c61\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c6\/28-30\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  56. \u4f50\u85e4\u5145\uff0c\u5ca1\u672c\u660c\u58eb\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u9ad8\u6a4b\u76f4\u4e5f\uff0e\u751f\u4f53\u6307\u7d0b\u3068\u3057\u3066\u80f8\u690e\u5f62\u72b6\u3092\u7528\u3044\u305f\u500b\u4eba\u8b58\u5225\u6cd5\u306e\u958b\u767a\uff0e\u7b2c61\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c6\/28-30\uff0c2022. (Young Investigator\u2019s Award \u512a\u79c0\u8cde \u53d7\u8cde<\/a>) (ConfWeb<\/a>)<\/li>\n\n\n\n
  57. Yuki Sasaki, Yohan Kondo, Tadashi Aoki, Naoya Koizumi, Toshiro Ozaki, Hiroshi Seki. Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT. CARS2022 (Computer Assisted Radiology and Surgery 2022), Tokyo, Japan, 7-11 June, 2022. (Best Paper Award 3rd Prize<\/a>) (ConfWeb<\/a>) <\/li>\n\n\n\n
  58. \u9ad8\u91ce\u535a\u548c\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u77f3\u6fa4\u5100\u6a39\uff0c\u5c0f\u91ce\u5bfa\u5d07\uff0c\u9f4b\u85e4\u6b63\u654f\uff0e\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u7570\u306a\u308b\u7ba1\u96fb\u5727\u306eCT\u753b\u50cf\u751f\u6210\uff0e\u533b\u7528\u753b\u50cf\u60c5\u5831\u5b66\u4f1a\u4ee4\u548c4\u5e74\u5ea6\u5e74\u6b21\uff08\u7b2c193\u56de\uff09\u5927\u4f1a\uff0c\u5e83\u5cf6\uff0c6\/4\uff0c2022\uff0e(ConfWeb<\/a>)<\/li>\n\n\n\n
  59. Mika YAMAMURO, Yoshiyuki ASAI, Naomi HASHIMOTO, Nao YASUDA, Takahiro YAMADA, Mitsutaka NEMOTO, Yuichi KIMURA, Hisashi HANDA, Hisashi YOSHIDA, Koji ABE, Masahiro TADA, Hitoshi HABE, Takashi NAGAOKA,    Seiun NIN, Kazunari ISHII, Yongbum LEE. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region. 16th IWBI (International Workshop on Breast Imaging), Leaven, Belgium, 22-25 May 2022. (ConfWeb<\/a>)<\/li>\n\n\n\n
  60. \u8fd1\u85e4\u4e16\u7bc4\uff1aAI-CAD\u306e\u7814\u7a76\u4e8b\u4f8b\u7d39\u4ecb\uff0e\u7b2c765\u56de\u65b0\u6f5f\u533b\u5b66\u4f1a\u4f8b\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u65b0\u6f5f\uff0c5\/19\uff0c2022\uff0e<\/li>\n\n\n\n
  61. \u4e2d\u5c71\u88d5\u4ecb\uff0c\u7530\u6751\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7686\u5ddd\u9756\u5b50\uff0c\u5185\u5c71\u7f8e\u679d\u5b50\uff1a\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u6df1\u90e8\u9759\u8108\u8840\u6813\u75c7\u8a3a\u65ad\u306e\u305f\u3081\u306e\u81f3\u9069\u30a8\u30b3\u30fc\u65ad\u9762\u50cf\u306e\u81ea\u52d5\u8a8d\u8b58\uff0e\u7b2c78\u56de\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a\u7dcf\u4f1a\u5b66\u8853\u5927\u4f1a\uff0e\u6a2a\u6d5c\uff0c4\/14-17\uff0c2022\uff0e\uff08\u5b66\u751f\u512a\u79c0\u8cde \u53d7\u8cde<\/a>\uff09(ConfWeb<\/a>)<\/li>\n<\/ol>\n\n\n\n

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

    \n
    Until 2021<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-11","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/pages\/11","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/comments?post=11"}],"version-history":[{"count":70,"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/pages\/11\/revisions"}],"predecessor-version":[{"id":1132,"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/pages\/11\/revisions\/1132"}],"wp:attachment":[{"href":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-json\/wp\/v2\/media?parent=11"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}