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index.xml
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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Home on Rui Shen</title>
<link>https://sherry-sr.github.io/</link>
<description>Recent content in Home on Rui Shen</description>
<generator>Hugo -- gohugo.io</generator>
<language>en-us</language>
<lastBuildDate>Sat, 10 Feb 2018 18:56:13 -0500</lastBuildDate>
<atom:link href="https://sherry-sr.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Sub-thalamic nuclei Segmentation</title>
<link>https://sherry-sr.github.io/projects/subtha/</link>
<pubDate>Sat, 01 Sep 2018 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/subtha/</guid>
<description>This is the current project I am working on. My ultimate task is to develop better segmentation and analysis methods for thalamic &amp; sub-thalamic nuclei based on multimodal MRI such as DTI/DKI and MPnRAGE. I have been conducting some experiments including investigating several fiber tractography methods solving crossing fiber problem, visualizing multimodal data using TSNE and UMAP, investigating optimization tools for difffusion kurtosis claculation and the cause of error estimation.</description>
</item>
<item>
<title>Integrated vascular (iVas) MRI in brain tumor</title>
<link>https://sherry-sr.github.io/publications/ivasismrm2018/</link>
<pubDate>Sat, 16 Jun 2018 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/publications/ivasismrm2018/</guid>
<description></description>
</item>
<item>
<title>Mobile C-arm Pose Estimation</title>
<link>https://sherry-sr.github.io/projects/pose/</link>
<pubDate>Tue, 01 May 2018 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/pose/</guid>
<description>This project&rsquo;s object was to estimate the 6 degrees-of-freedom pose of the mobile C-arm imaging device based on a single image. The motivation of this work was to determine the best device position within limited X-ray shots in order to reduce unnecessary radiation exposure administered by the system. My work involved investigating different design markers by which to encode the device pose, and I decoding the pose through segmentation and registration methods.</description>
</item>
<item>
<title>Master Writing IOS App</title>
<link>https://sherry-sr.github.io/projects/write/</link>
<pubDate>Thu, 01 Feb 2018 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/write/</guid>
<description>Practicing handwriting using the copybook of calligraphy is suffering because we usually don&rsquo;t know how good we write and how much we can improve it. So we developed Master Writing to help people conquer it. Master Writing is an IOS application that helps people improve handwriting by showing how a master is writing and let people imitate it. Users can learn how to master different fonts by practicing writing letters, words and sentences.</description>
</item>
<item>
<title>Wavelet Based ROI-Preserving Medical Image Watermarking Scheme</title>
<link>https://sherry-sr.github.io/projects/watermarking/</link>
<pubDate>Fri, 01 Dec 2017 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/watermarking/</guid>
<description>This is my course project for Wavelets course. The motivition of this project is to utilize wavelets characteristics to address the privacy concern in medical image database system. During the course I was thinking if we can store sensitive patient information invisibly using wavelets watermarking technique. I designed my soluttion with the following features: non-ROI segmentation, ensure watermarking will never modify ROI parta sparse matrix generated by a private-key to determine the location of non-ROI modification.</description>
</item>
<item>
<title>Integrated vascular (iVas) MRI</title>
<link>https://sherry-sr.github.io/projects/ivas/</link>
<pubDate>Fri, 01 Sep 2017 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/ivas/</guid>
<description>Gas-inhalation magnetic resonance imaging (MRI) is a novel imaging technique to measure multiple brain hemodynamic parameters, such as cerebrovascular reactivity (CVR), cerebral blood volume (CBV), bolus arrival time (BAT) and functional connectivity (FC). This technique uses two physiological measures, specifically arterial CO2 and O2 time course, as input and BOLD MRI signal time course as output, and employs a linear model to determine the association between gas challenge and MRI signal, which is related to vascular properties of the brain.</description>
</item>
<item>
<title>A pilot study of lateral ventricle volume from in utero foetal brain magnetic resonance imaging (MRI)</title>
<link>https://sherry-sr.github.io/publications/foetalismrm2017/</link>
<pubDate>Sat, 22 Apr 2017 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/publications/foetalismrm2017/</guid>
<description></description>
</item>
<item>
<title>Design and Application of fMRI Paradigm referred to Spatial navigation Based on Grid Cell Symmetry</title>
<link>https://sherry-sr.github.io/publications/gridradiology2018/</link>
<pubDate>Sat, 22 Apr 2017 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/publications/gridradiology2018/</guid>
<description></description>
</item>
<item>
<title>Paradigm Design for Grid Cell Study</title>
<link>https://sherry-sr.github.io/projects/grid/</link>
<pubDate>Tue, 01 Nov 2016 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/grid/</guid>
<description>Overview This is my bachelor graduation project in 2016. Inspired by Bellmund&rsquo;s paper &ldquo;Grid-cell representations in mental simulation&rdquo; published in August 2016, I was thinking if grid-like representations can be activated given more abstract and simple cues, and can be detected using fMRI. The motivation was to simplify the original experimental paradigm from the paper, in order to make it possible to use in wider clinical trails and measurements. In my graduation project, I first implemented the navigation task in virtual-reality city using Unity3D.</description>
</item>
<item>
<title>Fetal Brain Reconstruction from MRI</title>
<link>https://sherry-sr.github.io/projects/fetal/</link>
<pubDate>Mon, 01 Aug 2016 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/fetal/</guid>
<description>This project was to investigate super resolution reconstruction of lateral ventricle volume from fetal brain MRI data. The most challenging aspect of the project was to deal with the inter-slice noise caused by fetal head motion. We implemented a reconstruction method in my co-authored paper published in ISMRM, where we first modeled degradation and realigned low-resolution images via convex optimization in order to reduce motion artifacts. This result along with additional data from the same gestation week was used in a sparse reconstruction algorithm to achieve the desired super-resolution.</description>
</item>
<item>
<title>Heart Rate Monitoring from PPG</title>
<link>https://sherry-sr.github.io/projects/hht/</link>
<pubDate>Wed, 01 Jun 2016 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/hht/</guid>
<description>This is a small prject I have been working on when I first joined Medical Electronics Laboratory in Southeast University. My task was to extract and analyze the real-time heart rate from PPG signals. I investigated Hilbert-Huang transform (HHT), short-time Fourier transform (STFT) and continuous wavelets transform (CWT) in this project.</description>
</item>
<item>
<title>Lip Language Recognition</title>
<link>https://sherry-sr.github.io/projects/lip/</link>
<pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/lip/</guid>
<description>This student project was conducted on 2016 at my junior year. It stemmed from one of my thoughts &mdash; can we detect lip movements with micro-camera, transfer lip language to synthetic voice, thus enabling the mute to communicate just like us? we took 10000 photos of Chinese speakers speaking basic vowels, conducted automatic detection of faces and lips with OpenCV, and trained a neural network to recognize basic Chinese vowels. We built a lip language reader using Raspberry Pi and a camera with 92.</description>
</item>
<item>
<title>Aircraft Monitoring based on ADS-B</title>
<link>https://sherry-sr.github.io/projects/adsb/</link>
<pubDate>Sun, 01 Jun 2014 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/projects/adsb/</guid>
<description>ADS-B (Automatic dependent surveillance—broadcast) is &ldquo;a surveillance technology in which an aircraft determines its position via satellite navigation and periodically broadcasts it, enabling it to be tracked.&rdquo; I worked on this student project with two friends when we were sophomores. We built an reliable aircraft monitoring system with 200km detection zone, based on ADS-B technology. We improved the performance of the receiver at 1090MHz by making an extensional coaxial collinear antenna ourself.</description>
</item>
<item>
<title>Search Results</title>
<link>https://sherry-sr.github.io/search/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://sherry-sr.github.io/search/</guid>
<description>This file exists solely to respond to /search URL with the related search layout template.
No content shown here is rendered, all content is based in the template layouts/page/search.html
Setting a very low sitemap priority will tell search engines this is not important content.
This implementation uses Fusejs, jquery and mark.js
Initial setup Search depends on additional output content type of JSON in config.toml
[outputs] home = [&quot;HTML&quot;, &quot;JSON&quot;] Searching additional fileds To search additional fields defined in front matter, you must add it in 2 places.</description>
</item>
</channel>
</rss>