{"id":991,"date":"2025-04-16T15:15:27","date_gmt":"2025-04-16T06:15:27","guid":{"rendered":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/?page_id=991"},"modified":"2026-04-15T15:00:20","modified_gmt":"2026-04-15T06:00:20","slug":"members-2025","status":"publish","type":"page","link":"https:\/\/www.clg.niigata-u.ac.jp\/~kondoy\/members-2025\/","title":{"rendered":"Members 2025"},"content":{"rendered":"\n<p id=\"block-973dfa1d-36b8-4ae7-b324-8fdd17ef9c89\">2025\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\uff09\uff0c\u5352\u7814\u751f\uff08B4\uff09\u3011<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-cc6c5f22-83e9-4da4-86b3-1587aea25a34\"\/>\n\n\n\n<p id=\"block-f37998c8-ab32-4579-ad85-e652b82639d2\">\uff08D3\uff09\u4f50\u3005\u6728\u96c4\u6a39\uff1a\u6df1\u5c64\u5b66\u7fd2\u3092\u5fdc\u7528\u3057\u305f\u8853\u524dCT\u753b\u50cf\u89e3\u6790\u306b\u304a\u3051\u308b\u80ba\u817a\u764c\u8853\u5f8c\u518d\u767a\u4e88\u6e2c\uff08\u535a\u58eb\u8ad6\u6587\uff09<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u516c\u520a\u7269\n<ol class=\"wp-block-list\">\n<li>Yuki Sasaki, Yohan Kondo, Tadashi Aoki, Naoya Koizumi, Toshiro Ozaki, Manami Umezu, Hiroshi Seki. An ensemble of deep convolutional neural networks using preoperative computed tomography images for predicting postoperative recurrence of lung adenocarcinoma. Advanced Biomedical Engineering 14:219-234, May 2025. 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Generation of computed tomography images with different tube voltages by generative adversarial network. International Journal of Radiation Research 23(4): 873-879, Oct 2025. (<a href=\"https:\/\/ijrr.com\/article-1-6725-fa.html\">full text<\/a>) [Accepted: 11 Jan 2025]<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-0450e7b4-d6c8-4250-a29e-559b74e2af08\"\/>\n\n\n\n<p id=\"block-fbb78ba5-809f-44a4-93e9-a682c2b05454\">\uff08D2\uff09\u5b89\u9054\u5353\u54c9<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-94878292-3c75-4fca-8692-efefe5d686d9\"\/>\n\n\n\n<p id=\"block-7ad8b3cd-c979-4692-9855-908bfe2dd8c7\">\uff08D2\uff09\u6885\u6d25\u611b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u516c\u520a\u7269\n<ol class=\"wp-block-list\">\n<li>Manami Umezu,&nbsp;Yohan Kondo,&nbsp;Shota Ichikawa,&nbsp;Yuki Sasaki,&nbsp;Koji Kaneko,&nbsp;Toshiro Ozaki,&nbsp;Naoya Koizumi,&nbsp;Hiroshi Seki. Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network. Biomedical Physics &amp; Engineering Express 11(4):045025, 10 July 2025. (<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40637704\/\">PubMed<\/a>,&nbsp;<a href=\"https:\/\/doi.org\/10.1088\/2057-1976\/adeab5\">full_text<\/a>)<\/li>\n\n\n\n<li>Manami Umezu, Yohan Kondo, Shota Ichikawa, Yuki Sasaki, Koji Kaneko, Toshiro Ozaki, Naoya Koizumi, Hiroshi Seki. Artificial intelligence-based prediction of breast cancer recurrence using preoperative contrast-enhanced computed tomography and clinical information. Journal of Health Sciences of Niigata University 22(1): 1-7, Apr 2026. 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