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deep.html
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<!DOCTYPE HTML>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Changhwa Lee - Machine Learning and Artificial Intelligence</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="Portfolio webpage of Changhwa Lee" />
<meta name="keywords" content="portfolio,website,personal website,github,projects,computer science and engineering" />
<meta name="author" content="Changhwa Lee" />
<!--quora icon-->
<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="shortcut icon" href="kisspng-wechat-avatar-icon-line-v-word-5a715fe8a66dc6.6173848315173795606817.png">
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<link href="https://fonts.googleapis.com/css?family=Quicksand:300,400,500,700" rel="stylesheet">
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<script src="js/modernizr-2.6.2.min.js"></script>
</head>
<!--- Github ribbon ----------->
<a href="https://github.com/ChanghwaLee/changhwalee.github.io" class="github-corner" aria-label="View source on GitHub">
<svg width="80" height="80" viewBox="0 0 250 250" style="fill:#151513; color:#fff; position: absolute; top: 0; border: 0; right: 0;" aria-hidden="true">
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style="transform-origin: 130px 106px;" class="octo-arm"></path>
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d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z"
fill="currentColor" class="octo-body"></path>
</svg>
</a>
<style>
.github-corner:hover .octo-arm {
animation: octocat-wave 560ms ease-in-out
}
@keyframes octocat-wave {
0%,
100% {
transform: rotate(0)
}
20%,
60% {
transform: rotate(-25deg)
}
40%,
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transform: rotate(10deg)
}
}
@media (max-width:500px) {
.github-corner:hover .octo-arm {
animation: none
}
.github-corner .octo-arm {
animation: octocat-wave 560ms ease-in-out
}
}
</style>
<body>
<div id="colorlib-page">
<div class="container-wrap">
<a href="#" class="js-colorlib-nav-toggle colorlib-nav-toggle" data-toggle="collapse" data-target="#navbar" aria-expanded="false" aria-controls="navbar"><i></i></a>
<aside id="colorlib-aside" role="complementary" class="border js-fullheight">
<div class="text-center">
<div class="author-img" style="background-image: url(images/IMG_-wl1xai.jpg);"></div>
<h1 id="colorlib-logo"><a href="https://changhwalee.github.io">Changhwa Lee</a></h1>
<p><strong>Deep Learning | Data Science</strong></p>
</div>
</aside>
<div id="colorlib-main">
<section class="colorlib-about" data-section="about">
<div class="colorlib-narrow-content">
<div class="row">
<div class="col-md-12">
<div class="row row-bottom-padded-sm animate-box" data-animate-effect="fadeInLeft">
<div class="col-md-12">
<div class="about-desc">
<h2>Deep Learning and Artificial Intelligence</h2>
<hr>
<h4><strong>Image Translation</strong></h4>
<p>Cycle GAN 기반 Image Translation(StarGAN, U-GAT-IT, etc.)<br></p>
<p><strong>Used Technologies:</strong> Deep learning, Python, GAN, Cyclic loss, etc.</p>
<img src="images/deeplearning/05.png">
<br>
<img src="images/deeplearning/06.png">
<br><br>
<hr>
<h3 class="colourlib-heading">Tensorflow</h3>
<h4><strong>Generative Adversirial Network</strong></h4>
<p>Pytorch 라이브러리를 이용한 적대적신경망(GAN) 구현 및 lung CT 이미지 생성<br><a href="https://www.notion.so/leechanghwa/Code-and-result-7352ba7fadaa4505b83b61f773d11a2a" target="_blank">Details</a></p>
<p><strong>Used Technologies:</strong> Deep learning, Python, GAN, Medical Image processing, etc.</p>
<img src="images/deeplearning/01.png">
<br><br>
<p>3D GAN기법을 이용한 3DCT or 4DCT에 최적화된 3D lung CT 이미지 생성 및 reconstruction.</p>
<p><strong>Used Technologies:</strong> Deep learning, Python, GAN, Medical Image processing, etc.</p>
<img src="images/deeplearning/02.png">
<br><br>
<br><br>
<h4><strong>Super-Resolution GAN</strong></h4>
<p>Super-Resolution GAN 기법을 통한 저선량 CT로부터 고선량 수준의 CT 생성 연구<br></p>
<p><strong>Used Technologies:</strong> Deep learning, Python, GAN, Medical Image processing, etc.</p>
<img src="images/deeplearning/03.png">
<br>
<img src="images/deeplearning/04.png">
<br><br>
<br><br>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="colorlib-about" data-section="about">
<div class="colorlib-narrow-content">
<div class="row">
<div class="col-md-12">
<div class="row row-bottom-padded-sm animate-box" data-animate-effect="fadeInLeft">
<div class="col-md-12">
<div class="about-desc">
<h3 class="colourlib-heading">Paper</h3>
<h4>Paper title</h4>
<h4><a href="https://www.kdiss.or.kr/modules/bbs/index.php?code=notice&mode=view&id=23&___M_ID=47"><strong>[pdf]</strong></a></h4>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
</div>
</div>
</div>
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