<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Yuzhe Lu | HRLB Lab</title>
    <link>https://hrlblab.github.io/author/yuzhe-lu/</link>
      <atom:link href="https://hrlblab.github.io/author/yuzhe-lu/index.xml" rel="self" type="application/rss+xml" />
    <description>Yuzhe Lu</description>
    <generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>hrlblab@gmail.com</copyright><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate>
    <image>
      <url>https://hrlblab.github.io/media/icon_hu0ec0111cfd40fd5de1f066575f578bf6_49768_512x512_fill_lanczos_center_3.png</url>
      <title>Yuzhe Lu</title>
      <link>https://hrlblab.github.io/author/yuzhe-lu/</link>
    </image>
    
    <item>
      <title>Circle Representation for Medical Object Detection</title>
      <link>https://hrlblab.github.io/publication/nguyen-2021-circle/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/nguyen-2021-circle/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis</title>
      <link>https://hrlblab.github.io/publication/lu-2021-contrastive/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/lu-2021-contrastive/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation</title>
      <link>https://hrlblab.github.io/publication/lu-2021-improve/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/lu-2021-improve/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Map3D: registration based multi-object tracking on 3D serial whole slide images</title>
      <link>https://hrlblab.github.io/publication/deng-2021-map-3-d/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/deng-2021-map-3-d/</guid>
      <description></description>
    </item>
    
    <item>
      <title>SimTriplet: Simple Triplet Representation Learning with a Single GPU</title>
      <link>https://hrlblab.github.io/publication/liu-2021-simtriplet/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/liu-2021-simtriplet/</guid>
      <description></description>
    </item>
    
    <item>
      <title>CircleNet: Anchor-free detection with circle representation</title>
      <link>https://hrlblab.github.io/publication/yang-2020-circlenet/</link>
      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/yang-2020-circlenet/</guid>
      <description></description>
    </item>
    
    <item>
      <title>EasierPath: an open-source tool for human-in-the-loop deep learning of renal pathology</title>
      <link>https://hrlblab.github.io/publication/zhu-2020-easierpath/</link>
      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
      <guid>https://hrlblab.github.io/publication/zhu-2020-easierpath/</guid>
      <description></description>
    </item>
    
  </channel>
</rss>
