![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/uploads\/2013\/08\/quantm.jpg\")
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
Research Interests<\/strong><\/p>\n Compressive Sensing has drawn many attractions from researchers in diverse fields not only in signal processing area but also bioclinical department. In Magnetic Resonance Imaging (MRI), it provides a mathematical description to quickly perform the scanning process but still preserve the good quality of the images. Taking into account the large-scaled and high-dimensional data keep growing up from the scanner, we focus on developing a multi-GPU heterogeneous system that can speed up the reconstruction process. With the modified Split-Bregman method, we propose the new CSMRI scheme which is running fast, scalable, and arise the images as good as conventional diagnosis.<\/p>\n<\/div>\n Education<\/strong><\/p>\n Work Experience<\/strong><\/p>\n Publications<\/strong><\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n Talks<\/strong><\/p>\n Honor \/ Award<\/strong><\/p>\n Teaching Assistant<\/strong><\/p>\n Spring 2014 Heterogeneous Parallel Programming, Massive Open Online Course, Coursera<\/a> \u00a0<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":" \u00a0 \u00a0 \u00a0Ms-PhD. Student \u00a0 \u00a0 \u00a0E-mail: quantm (at) unist.ac.kr Research Interests GPU computing Compressive Sensing MRI Compressive Sensing has drawn many attractions from researchers in diverse fields not only in signal processing area but also bioclinical department. In Magnetic Resonance Imaging (MRI), it provides a mathematical description to quickly perform the Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":19,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/465"}],"collection":[{"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=465"}],"version-history":[{"count":36,"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/465\/revisions"}],"predecessor-version":[{"id":2232,"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/465\/revisions\/2232"}],"up":[{"embeddable":true,"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/19"}],"wp:attachment":[{"href":"https:\/\/hvcl.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n\n\n
<\/div>\n<\/div>\nResearch topic:\u00a0Compressive Sensing MRI on a multi-GPU system including<\/div>\n\n\n
<\/div>\n\n
\n
![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/journal\/quan_2018_refinegan.png\")
<\/p>\n[bibtex file=quan_2018_refinegan.bib]<\/div>\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/conference\/quan_jun_haejin_vis_2017.png\")
<\/p>\n[bibtex file=quan_jun_haejin_vis_2017.bib]<\/div>\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/journal\/hildebrand_nature_2017.png\")
<\/p>\n[bibtex file=hildebrand_nature_2017.bib]<\/div>\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/conference\/quan_compressed3d_2016.png\")
<\/p>\n[bibtex file=quan_compressed3d_2016.bib]<\/div>\n<\/div>\n\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/journal\/quan_fast_2016.png\")
<\/p>\n[bibtex file=quan_fast_2016.bib]<\/div>\n<\/div>\n<\/div>\n\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/conference\/quan_compressed_2016.png\")
<\/p>\n[bibtex file=quan_compressed_2016.bib]<\/div>\n<\/div>\n\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/conference\/quan_multi_2015.png\")
<\/p>\n[bibtex file=quan_multi_2015.bib]<\/div>\n<\/div>\n\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/journal\/choi_vivaldi_2014.png\")
<\/p>\n[bibtex file=choi_vivaldi_2014.bib]<\/div>\n<\/div>\n\n![\"\"](\"https:\/\/hvcl.korea.ac.kr\/wp-content\/papercite-data\/conference\/Quan%20et%20al.%20-%202014%20-%20A%20fast%20mixed-band%20lifting%20wavelet%20transform%20on%20the%20GPU.png\"){kind=spacer}
<\/p>\n[bibtex file=quan_fast_2013.bib]<\/div>\n<\/div>\n\n\n\n
\nTran Minh Quan, Won-Ki Jeong
\nNVIDIA GPU Technology Conference Korea (GTCx) \u00a0at\u00a0Seoul,\u00a0South Korea, 2016
\n<\/span><\/span><\/li>\n
\nTran Minh Quan, Won-Ki Jeong
\nNVIDIA GPU Technology Conference (GTC)\u00a0at San Jose, California, USA, 2013<\/span><\/li>\n<\/ul>\n<\/div>\n\n
\nof Interactive 3D Graphics,
\nby Eric Haines, Senior Principal Engineer, Autodesk.<\/li>\n
\nof Introduction to Parallel Programming:\u00a0Using CUDA to Harness the Power of GPUs,
\nby David Luebke, PhD., Senior Director of Research, Visual Computing, NVIDIA
\nand John Owens, PhD., Professor of Electrical and Computer Eng., UC Davis.<\/li>\n
\nof Image and Video Processing: From\u00a0Mars to Hollywood with a stop at the hospital,
\nby G. Sapiro, PhD., Professor of Electrical and Computer Eng., Duke University.<\/li>\n
\nof Heterogeneous Parallel \u00a0Programming,
\nby Wen-Mei Hwu, PhD., Professor of College of Eng., University of Illinois.<\/li>\n
\nby The Royal Australian Chemical Institute.<\/li>\n<\/ul>\n
\nFall \u00a0 \u00a0 \u00a0 2013 ECE519 – Massively Parallel Programming, Graduate Course, UNIST
\nSpring 2013 ITP107 – Engineering Programming 1, Undergraduate Course, UNIST
\nFall \u00a0 \u00a0 \u00a0 2012 CSE231 – Data Structure, Undergraduate Course, UNIST
\nSpring 2012 CSE431 – Introduction to Computer Graphics, Undergraduate Course, UNIST<\/p>\n