{"id":3672,"date":"2019-03-15T10:49:37","date_gmt":"2019-03-15T01:49:37","guid":{"rendered":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/?post_type=tribe_events&p=3672"},"modified":"2020-03-12T16:21:31","modified_gmt":"2020-03-12T07:21:31","slug":"2018p024","status":"publish","type":"tribe_events","link":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/event\/2018p024\/","title":{"rendered":"\u7406\u5316\u5b66\u7814\u7a76\u6240iTHEMS-\u6771\u5317\u5927\u5b66AIMR\u9023\u643a\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 \u300c\u533b\u5b66\u3068\u6570\u7406\u306e\u63a5\u3059\u308b\u3068\u3053\u308d\u300d"},"content":{"rendered":"

\u25a0\u65e5\u6642\uff1a 3\u670829\u65e5\uff08\u91d1\uff0910:00\uff5e17:00<\/p>\n

\u25a0\u4f1a\u5834\uff1a \u6771\u5317\u5927\u5b66\u7247\u5e73\u30ad\u30e3\u30f3\u30d1\u30b9
\n\u3000\u3000\u3000\u3000 \u77e5\u306e\u9928 (TOKYO ELECTRON House of Creativity) 3\u968e Lecture Theater<\/p>\n

\u25a0\u30d7\u30ed\u30b0\u30e9\u30e0\uff1a<\/p>\n

10:00-10:40<\/span> \u5c0f\u5ddd \u8ecc\u660e<\/a> Ph.D \uff08\u7406\u5316\u5b66\u7814\u7a76\u6240iTHEMS\uff09<\/a>
\n<\/span>\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u75be\u60a3\u8a3a\u65ad\u3068\u305d\u306e\u8ab2\u984c
\nDiagnoses by machine learning and their difficulties<\/p>\n

10:40-11:20<\/span> \u7027 \u96c5\u4eba<\/a> Ph.D \uff08\u7406\u5316\u5b66\u7814\u7a76\u6240iTHEMS\uff09<\/a><\/span><\/div>\n
\u6df1\u5c64\u5b66\u7fd2\u306e\u5fdc\u7528\u4e8c\u4f8b\uff1a\u816b\u760d\u7d44\u7e54\u753b\u50cf\u3068\u8133\u795e\u7d4c\u6d3b\u52d5\u306e\u89e3\u6790\u306b\u3064\u3044\u3066<\/div>\n
Two examples of deep learning applications: tumor data and neuroscience<\/p>\n<\/div>\n
11:20-12:00<\/span> \u6749\u8c37 \u5b9c\u7d00<\/a> Ph.D \uff08\u6771\u5317\u5927\u5b66AIMR\uff09<\/a><\/span><\/div>\n
\u504f\u308a\u306e\u5927\u304d\u306a\u81e8\u5e8a\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u6df1\u5c64\u5b66\u7fd2\u3068\u4eba\u5de5\u900f\u6790\u306b\u304a\u3051\u308b\u6295\u85ac\u5224\u65ad\u3078\u306e\u5fdc\u7528<\/div>\n
Deep learning for imbalanced clinical datasets and its application to medication management for dialysis treatments<\/div>\n
\u00a0<\/div>\n
13:20-14:00<\/span> \u6e05\u7530 \u7d14<\/a> MD, Ph.D \uff08\u7406\u5316\u5b66\u7814\u7a76\u6240MIH\uff09<\/a><\/span><\/div>\n
\u533b\u5b66\u30fb\u751f\u7269\u5b66\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306f\u305d\u308c\u305e\u308c\u56fa\u6709\u306e\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u30ec\u30f3\u30b8\u3092\u6301\u3063\u3066\u3044\u308b<\/div>\n
Each bio-medical parameter has a unique dynamic-range<\/p>\n<\/div>\n
14:00-14:40<\/span> \u690d\u7530 \u7422\u4e5f<\/a> MD, Ph.D \uff08\u6771\u5317\u5927\u5b66\u5927\u5b66\u9662\u533b\u5b66\u7cfb\u7814\u7a76\u79d1\uff09<\/a><\/span><\/div>\n
\u5fc3\u81d3\u8840\u7ba1\u9818\u57df\u306b\u304a\u3051\u308b Computational fluid dynamics \u30fc \u75c5\u614b\u3068\u6570\u7406\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u95a2\u9023\u6027\u306b\u3064\u3044\u3066<\/div>\n
Computational fluid dynamics in cardiovascular diseases \u2014 Pathophysiological background to understand model parameters<\/div>\n

\n14:40-15:20<\/span>
\u6edd\u6ca2 \u7814\u4e8c<\/a> Ph.D \uff08\u65e9\u7a32\u7530\u5927\u5b66\u7406\u5de5\u5b66\u8853\u9662\uff09<\/a><\/span><\/div>\n
\u5fc3\u81d3\u8840\u7ba1\u9818\u57df\u3067\u671f\u5f85\u3055\u308c\u308b\u8a08\u7b97\u529b\u5b66 \u2014 \u624b\u6cd5\u3068\u305d\u306e\u5fdc\u7528\u4f8b<\/div>\n
Computational mechanics in cardiovascular problems \u2014 Methods and applications<\/div>\n
\u00a0<\/div>\n
15:40-16:20<\/span> \u95a2\u6839 \u9244\u6717<\/a> MD, Ph.D \uff08\u65e5\u672c\u533b\u79d1\u5927\u5b66\u75c5\u9662\uff09<\/a><\/span><\/div>\n
3\u6b21\u5143\u4f4d\u76f8MRI\u60c5\u5831\u3092\u7528\u3044\u305f\u30d2\u30c8\u8840\u6d41\u89e3\u6790\u306e\u81e8\u5e8a\u5fdc\u7528 \u2014 \u6d41\u901f\u5b9a\u91cf\u304b\u3089\u4e71\u6d41\u63a8\u5b9a\u307e\u3067<\/div>\n
Clinical utility of hemodynamic assessment by 3D phase-contrast MRI \u2014 From velocity measurement to turbulence estimation<\/div>\n

\n16:20-17:00<\/span>
\u5742\u4e0a \u8cb4\u4e4b<\/a> Ph.D \uff08\u4eac\u90fd\u5927\u5b66\u5927\u5b66\u9662\u7406\u5b66\u7814\u7a76\u79d1\u30fb\u6570\u5b66\u6559\u5ba4\uff09<\/a><\/span><\/div>\n
\u30c8\u30dd\u30ed\u30b8\u30ab\u30eb\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u89e3\u6790(TFDA)\u3068\u305d\u306e\u5fc3\u8840\u6d41\u30c7\u30fc\u30bf\u3078\u306e\u5fdc\u7528<\/div>\n
Topological flow data analysis and its applications to flows in the heart<\/p>\n<\/div>\n
17:30-19:30 \u7d99\u7d9a\u8a0e\u8ad6\u4f1a<\/div>\n
\u00a0<\/div>\n

\n\u25a0\u4e3b\u50ac\uff1a SUURI-COOL Sendai\uff08iTHEMS-AIMR\u6570\u7406\u9023\u643a\u7814\u7a76\u5ba4\uff09<\/p>\n

\u25a0\u5171\u50ac\uff1a \u7406\u5316\u5b66\u7814\u7a76\u6240\u6570\u7406\u5275\u9020\u30d7\u30ed\u30b0\u30e9\u30e0(iTHEMS)
\n\u3000\u3000\u3000\u3000 \u6771\u5317\u5927\u5b66\u6750\u6599\u79d1\u5b66\u9ad8\u7b49\u7814\u7a76\u6240(AIMR)
\n\u3000\u3000\u3000\u3000 \u6771\u5317\u5927\u5b66\u6570\u7406\u79d1\u5b66\u9023\u643a\u7814\u7a76\u30bb\u30f3\u30bf\u30fc(RACMaS)
\n\u3000\u3000\u3000\u3000 \u6771\u5317\u5927\u5b66\u77e5\u306e\u5275\u51fa\u30bb\u30f3\u30bf\u30fc(TFC)
\n\u3000\u3000\u3000\u3000 JST-CREST\u300c\u81e8\u5e8a\u533b\u7642\u306b\u304a\u3051\u308b\u6570\u7406\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u65b0\u305f\u306a\u5c55\u958b\u300d<\/p>\n

\u25a0\u53c2\u52a0\u7533\u3057\u8fbc\u307f\uff1a\u767b\u9332\u306f\u3053\u3061\u3089\u304b\u3089<\/a><\/p>\n

\u25a0URL\uff1ahttps:\/\/www.wpi-aimr.tohoku.ac.jp\/suito_labo\/SUURI-COOL\/WS190329.html<\/a><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u25a0\u65e5\u6642\uff1a 3\u670829\u65e5\uff08\u91d1\uff0910:00\uff5e17:00 \u25a0\u4f1a\u5834\uff1a \u6771\u5317\u5927\u5b66\u7247\u5e73\u30ad\u30e3\u30f3\u30d1\u30b9 \u3000\u3000\u3000\u3000 \u77e5\u306e\u9928 (TOKYO ELECTRON House of Creativity) 3\u968e Lecture Theater \u25a0\u30d7\u30ed […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":""},"tags":[],"tribe_events_cat":[37,33,34],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tribe_events\/3672"}],"collection":[{"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/comments?post=3672"}],"version-history":[{"count":4,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tribe_events\/3672\/revisions"}],"predecessor-version":[{"id":5710,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tribe_events\/3672\/revisions\/5710"}],"wp:attachment":[{"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/media?parent=3672"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tags?post=3672"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/wp\/v2\/tribe_events_cat?post=3672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}