\uc218\ud559\uacfc \uc815\uae30 \ud2b9\uac15\uc785\ub2c8\ub2e4.<\/p>\n
1. \uc77c\uc2dc: 2019\ub144 11\uc6d4 29\uc77c (\uae08) \uc624\ud6c4 4\uc2dc 30\ubd84 ~ 5\uc2dc 30\ubd84
\n2. \uc7a5\uc18c: \uc544\uc0b0\uc774\ud559\uad00 526\ud638
\n3. \uc5f0\uc0ac: \uc815\uc6d0\uae30(\uc6b8\uc0b0\uacfc\ud559\uae30\uc220\uc6d0 \uc804\uae30\uc804\uc790\ucef4\ud4e8\ud130\uacf5\ud559\ubd80, \uad50\uc218)
\n4. \uc81c\ubaa9: High-performance, Learning-based Visual Computing for Large-scale Biomedical Image Analysis
\n5. \ucd08\ub85d: High-resolution, large-scale image data play a central role in biomedical researches, but they also pose very challenging computational problems for image processing and visualization in terms of developing suitable algorithms, coping with the ever-increasingdata sizes, and maintaining interactive performance. Massively parallel computing systems, such as graphics processing units and distributed cluster systems, can be a solution for such computation-demanding tasks due to its scalable and parallel architecture.In addition, recent advances in machine learning can be another solution because the learning-based approach can accelerate computation by shifting the time-consuming computing process into the training (pre-processing) phase and reducing prediction time by performing only one-pass deployment of a feed-forward neural network. In this talk, I will introduce several examples of such research directions from our recent development on large-scale biomedical image analysis using high-performance computing and machine learning techniques, such as cellular-level connectomics image analysis and compressed sensing MRI reconstruction.<\/p>\n","protected":false},"excerpt":{"rendered":"
\uc218\ud559\uacfc \uc815\uae30 \ud2b9\uac15\uc785\ub2c8\ub2e4. 1. \uc77c\uc2dc: 2019\ub144 11\uc6d4 29\uc77c (\uae08) \uc624\ud6c4 4\uc2dc 30\ubd84 ~ 5\uc2dc 30\ubd84 2. \uc7a5\uc18c: \uc544\uc0b0\uc774\ud559\uad00 526\ud638 3. \uc5f0\uc0ac: \uc815\uc6d0\uae30(\uc6b8\uc0b0\uacfc\ud559\uae30\uc220\uc6d0 \uc804\uae30\uc804\uc790\ucef4\ud4e8\ud130\uacf5\ud559\ubd80, \uad50\uc218) 4. \uc81c\ubaa9: High-performance, Learning-based Visual Computing for Large-scale Biomedical Image Analysis 5. \ucd08\ub85d: High-resolution, large-scale image data play a central role in biomedical researches, but they also pose very challenging computational … \ub354 \uc77d\uae30<\/a><\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-897","post","type-post","status-publish","format-standard","hentry","category-news-events"],"distributor_meta":false,"distributor_terms":false,"distributor_media":false,"distributor_original_site_name":"","distributor_original_site_url":"https:\/\/mathematicians.korea.ac.kr\/sk23","push-errors":false,"_links":{"self":[{"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/posts\/897","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/comments?post=897"}],"version-history":[{"count":5,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/posts\/897\/revisions"}],"predecessor-version":[{"id":922,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/posts\/897\/revisions\/922"}],"wp:attachment":[{"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/media?parent=897"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/categories?post=897"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mathematicians.korea.ac.kr\/sk23\/wp-json\/wp\/v2\/tags?post=897"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}