{"id":231,"date":"2022-04-05T19:09:33","date_gmt":"2022-04-05T10:09:33","guid":{"rendered":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/?page_id=231"},"modified":"2023-12-04T17:29:09","modified_gmt":"2023-12-04T08:29:09","slug":"members-2022","status":"publish","type":"page","link":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/members-2022\/","title":{"rendered":"Members 2022"},"content":{"rendered":"\n<p>2022\u5e74\u5ea6\u3000\u5927\u5b66\u9662\u751f\u30fb\u5352\u7814\u751f \u3010\u5927\u5b66\u9662\u751f\uff08\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\uff1aD\uff0c\u535a\u58eb\u524d\u671f\u8ab2\u7a0b\uff1aM\u3011<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08D3\uff09\u5409\u7530\u7693\u6587\uff1a\u5c0f\u5150\u5fc3\u81d3\u5947\u5f62\u8a3a\u7642\u306b\u304a\u3051\u308b\u5fc3\u81d3CT\u753b\u50cf\u89e3\u6790\u306e\u305f\u3081\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u306b\u95a2\u3059\u308b\u7814\u7a76\uff08<a href=\"https:\/\/niigata-u.repo.nii.ac.jp\/records\/2000984\">\u535a\u58eb\u8ad6\u6587<\/a>\uff09<\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Akifumi Yoshida, Yohan Kondo, Norihiko Yoshimura, Tatsuya Kuramoto, Akira Hasegawa, Tsutomu Kanazawa. U-Net-based image segmentation of the whole heart and four chambers in pediatric Xray computed tomography. Radiological Physics and Technology, 2022.  (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35524912\/\">PubMed<\/a>, <a href=\"https:\/\/doi.org\/10.1007\/s12194-022-00657-3\">full text<\/a>)<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08D3\uff09\u5c0f\u91ce\u5bfa\u5d07\uff1a\u30c7\u30a3\u30b8\u30bf\u30eb\u80f8\u90e8X\u7dda\u64ae\u5f71\u306b\u304a\u3051\u308b\u753b\u50cf\u51e6\u7406\u306e\u7269\u7406\u7279\u6027\u3068\u6700\u9069\u7dda\u8cea\u306b\u95a2\u3059\u308b\u7814\u7a76\uff08<a href=\"https:\/\/niigata-u.repo.nii.ac.jp\/records\/2000986\">\u535a\u58eb\u8ad6\u6587<\/a>\uff09<\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Shu Onodera, Yohan Kondo, Tomoyoshi Kawabata. Dose reduction potential in dual-energy subtraction chest radiography based on the relationship between spatial-resolution property and segmentation accuracy of the tumor area. Acta IMEKO 11(2):article 28, 2022. (<a href=\"https:\/\/acta.imeko.org\/index.php\/acta-imeko\/article\/view\/1168\">full text<\/a>)<\/li>\n\n\n\n<li>Shu Onodera, Yohan Kondo, Shoko Ishikawa, Tomoyoshi Kawabata, Hiroki Ishii. Usefulness of copper filters in digital chest radiography based on the relationship between effective detective quantum efficiency and deep learning-based segmentation accuracy of the tumor area. Radiol Phys Technol 2023 Apr 12. Online ahead of print. (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37046154\/\">PubMed<\/a>,&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s12194-023-00719-0\">full text<\/a>\uff09<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u5b66\u4f1a\u767a\u8868<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\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<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u305d\u306e\u4ed6<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u65e5\u672c\u653e\u5c04\u7dda\u6280\u8853\u5b66\u4f1a&nbsp;<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2022\/04\/jsrt_award_20220416_onodera.jpg\">\u300c\u6280\u8853\u5968\u52b1\u8cde\uff08\u753b\u50cf\u5206\u91ce\uff09\u300d\u53d7\u8cde\u3010D3\u5c0f\u91ce\u5bfa\u5d07\u3011<\/a>\u2192<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32986183\/\">paper<\/a>\uff082022.4.16\uff09<\/li>\n\n\n\n<li>\u65b0\u6f5f\u5927\u5b66<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/04\/award_niigatauniv_onodera202303.jpg\">\u300c\u4ee4\u548c4\u5e74\u5ea6\u5b66\u751f\u8868\u5f70\u300d\u3010D3\uff1a\u5c0f\u91ce\u5bfa\u5d07\u3011<\/a>\u2192<a href=\"https:\/\/www.niigata-u.ac.jp\/campus\/shindaisei\/2023\/377022\/\">\u5927\u5b66\u30a6\u30a7\u30d6<\/a>\uff082023.3.22\uff09<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08D3\uff09\u5c71\u5ba4\u7f8e\u4f73\uff1a\u4e73\u817a\u5bc6\u5ea6\u8a08\u6e2c\u3078\u306e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u5fdc\u7528\u306b\u95a2\u3059\u308b\u7814\u7a76\uff08<a href=\"https:\/\/niigata-u.repo.nii.ac.jp\/records\/2000987\">\u535a\u58eb\u8ad6\u6587<\/a>\uff09<\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>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, Yohan Kondo. Utility of a U-Net for the objective segmentation of the mammary gland region on clinical digital mammograms. Biomedical Physics &amp; Engineering Express, 8(4), 045016, 30 June 2022. (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35728581\/\">PubMed<\/a>, <a href=\"https:\/\/doi.org\/10.1088\/2057-1976\/ac7ada\">full text<\/a>)<\/li>\n\n\n\n<li>Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiroto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, and Yongbum Lee. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region. Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 122860T (13 July 2022). (<a href=\"https:\/\/doi.org\/10.1117\/12.2624139\">full text<\/a>)<\/li>\n<\/ol>\n\n\n\n<p> <\/p>\n\n\n\n<p>\u5b66\u4f1a\u767a\u8868<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mika YAMAMURO, Yoshiyuki ASAI, Naomi HASHIMOTO, Nao YASUDA,&nbsp;Takahiro YAMADA, Mitsutaka NEMOTO, Yuichi KIMURA, Hisashi HANDA,&nbsp;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.<\/li>\n\n\n\n<li>\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<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u305d\u306e\u4ed6<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u65b0\u6f5f\u5927\u5b66\u5927\u5b66\u9662\u4fdd\u5065\u5b66\u7814\u7a76\u79d1\u30002022\u5e74\u5ea6\u7814\u7a76\u5968\u52b1\u91d1\u4e8b\u696d\u306b\u304a\u3051\u308b\u53d7\u8cde\u3010<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/03\/yamamuro202303.jpg\">\u512a\u79c0\u8cde\uff1aD3\u5c71\u5ba4\u7f8e\u4f73<\/a>\u3011(2023.3.23)<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08D1\uff09\u4f50\u3005\u6728\u96c4\u6a39<\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>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. International Journal of Computer Assisted Radiology and Surgery, 2022. (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35763149\/\">PubMed<\/a>, <a href=\"https:\/\/doi.org\/10.1007\/s11548-022-02694-0\">full text<\/a>)<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u5b66\u4f1a\u767a\u8868<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\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<\/li>\n\n\n\n<li>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, June 7-11, 2022. <\/li>\n\n\n\n<li>\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<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u305d\u306e\u4ed6<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>CARS 2022<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2022\/12\/award_sasaki_20221221s.png\">\u300cBest Paper Award 3rd Prize\u300d\u53d7\u8cde\u3010D1\u4f50\u3005\u6728\u96c4\u6a39\u3011<\/a>&nbsp;\u2192<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/report\/20230104r.html\">\u7814\u7a76\u79d1REPORTS<\/a>\uff082022.12.21\uff09<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08M2\uff09\u4e2d\u5c71\u88d5\u4ecb\uff1a\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e0b\u80a2\u9759\u8108\u8840\u6813\u75c7\u306b\u81f3\u9069\u306a\u4e0b\u80a2\u9759\u8108\u30a8\u30b3\u30fc\u65ad\u9762\u50cf\u306e\u81ea\u52d5\u8b58\u5225\uff08<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/12\/2022_nakayama_m_thesis.pdf\">\u4fee\u58eb\u8ad6\u6587<\/a>\u3001<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/12\/2022_nakayama_m_slide.pdf\">\u767a\u8868\u30b9\u30e9\u30a4\u30c9<\/a>\uff09<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Yusuke Nakayama, Mitsuru Sato, Masashi Okamoto, Yohan Kondo, Manami Tamura, Yasuko Minagawa, Mieko Uchiyama, Yosuke Horii. Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis. PLoS ONE 18(3):e0282747, 6 March 2023. (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36877716\/\">PubMed<\/a>,&nbsp;<a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0282747\">full text<\/a>)<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u5b66\u4f1a\u767a\u8868<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4e2d\u5c71\u88d5\u4ecb\uff0c\u7530\u6751\u611b\uff0c\u8fd1\u85e4\u4e16\u7bc4\uff0c\u7686\u5ddd\u9756\u5b50\uff0c\u5185\u5c71\u7f8e\u679d\u5b50\uff0e\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\uff0c\u6a2a\u6d5c\uff0c4\/14-17\uff0c2022\uff0e(<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2022\/05\/award_nakayama20220510.jpg\">\u5b66\u751f\u512a\u79c0\u8cde \u53d7\u8cde<\/a>)<\/li>\n\n\n\n<li>\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<\/li>\n\n\n\n<li>\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<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\uff08M2\uff09\u5bae\u6fa4\u5e78\u592a\u90ce\uff1a\u6551\u6025\u8179\u90e8CT\u306b\u7279\u5316\u3057\u305f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u8a3a\u65ad\u2f40\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff08<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/12\/2022_miyazawa_m_thesis.pdf\">\u4fee\u58eb\u8ad6\u6587<\/a>\u3001<a href=\"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/wp-content\/uploads\/2023\/12\/2022_miyazawa_m_slide.pdf\">\u767a\u8868\u30b9\u30e9\u30a4\u30c9<\/a>\uff09<\/p>\n\n\n\n<p>\u516c\u520a\u7269<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5bae\u6fa4\u5e78\u592a\u90ce, \u8fd1\u85e4\u4e16\u7bc4, \u80fd\u767b\u7fa9\u5e78, \u9152\u4e95\u5065\u4e00, \u9ad8\u6a4b\u76f4\u4e5f, \u7b39\u672c\u9f8d\u592a. 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