{"id":3366,"date":"2022-07-19T17:44:18","date_gmt":"2022-07-19T08:44:18","guid":{"rendered":"http:\/\/msiplab.eng.niigata-u.ac.jp\/?p=3366"},"modified":"2022-07-19T17:44:18","modified_gmt":"2022-07-19T08:44:18","slug":"2022%e5%b9%b47%e6%9c%88%e4%bb%a5%e9%99%8d%e3%81%ae%e7%99%ba%e8%a1%a8%e4%ba%88%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/3366","title":{"rendered":"2022\u5e747\u6708\u4ee5\u964d\u306e\u767a\u8868\u4e88\u5b9a"},"content":{"rendered":"<p><\/p>\n<h2>\u56fd\u969b\u4f1a\u8b70<\/h2>\n<ul>\n<li>Yuki TAKAHASHI, Shogo MURAMATSU, Hiroyasu YASUDA, Kiyoshi HAYASAKA, Yu OTAKE: FLOW-PATH FITTING FROM IMAGES WITH FOURIER BASIS FOR RIVER HEALTH ASSESSMENT, <em>Proc. of 2022 IEEE International Conference on Image Processing (ICIP),<\/em>\u00a0Bordeaux, Oct. 2022, to appear<\/li>\n<\/ul>\n<h2>\u56fd\u5185\u5b66\u4f1a<\/h2>\n<ul>\n<li>\u67ff\u539f\u6b63\u7d00\uff0c\u6751\u677e\u6b63\u543e\uff1a<strong>\u30b9\u30b1\u30fc\u30eb\u9593\u3057\u304d\u3044\u5024\u51e6\u7406\u3092\u5c0e\u5165\u3057\u305fOCT\u30dc\u30ea\u30e5\u30fc\u30e0\u30c7\u30fc\u30bf\u5fa9\u5143\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong>\uff0c\u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\u5e747\u6708<\/li>\n<li>Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu: <strong>Image Classification of Cancer Cells Treated with IRDAptamer<\/strong>, \u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\u5e747\u6708<\/li>\n<li>\u5c0f\u6797\u6804\u88d5\uff0c\u6751\u677e\u6b63\u543e\uff0c\u5b89\u7530\u6d69\u4fdd\uff0c\u65e9\u5742\u572d\u53f8\uff1a<strong>\u7573\u307f\u8fbc\u307f\u30b9\u30d1\u30fc\u30b9\u7b26\u53f7\u5316\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306e\u591a\u91cd\u89e3\u50cf\u5ea6\u5316\u3068\u305d\u306e\u6cb3\u5e8a\u72b6\u614b\u63a8\u5b9a\u3078\u306e\u5fdc\u7528<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u77f3\u57a3\u5e02\uff0c2022\u5e748\u6708<\/li>\n<li>Jikai LI, Shogo MURAMATSU: <strong>Structured Deep Image Prior with Interscale Thresholding<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u77f3\u57a3\u5e02\uff0c2022\u5e748\u6708<\/li>\n<li>Godage YASAS, Shogo MURAMATSU: <strong>Locally-Structured Unitary Network to Capture Tangent Spaces of Manifold<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u77f3\u57a3\u5e02\uff0c2022\u5e748\u6708<\/li>\n<li>\u9ad8\u6a4b\u98af\u5fd7\uff0c\u6751\u677e\u6b63\u543e\uff1a<strong>\u753b\u50cf\u5fa9\u5143\u306e\u305f\u3081\u306e\u591a\u69d8\u4f53\u6700\u9069\u5316\u306b\u3088\u308b\u69cb\u9020\u5316\u7573\u307f\u8fbc\u307f\u8f9e\u66f8\u306e\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u7814\u7a76<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u77f3\u57a3\u5e02\uff0c2022\u5e748\u6708<\/li>\n<\/ul>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>\u56fd\u969b\u4f1a\u8b70 Yuki TAKAHASHI, Shogo MURAMATSU, Hiroyasu YASUDA, Kiyoshi HAYASAKA, Yu OTAKE: FLOW-PATH FITTING FROM IMAG &hellip; 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