<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bone Implant | Tak Ming Wong</title><link>https://tak-wong.github.io/tags/bone-implant/</link><atom:link href="https://tak-wong.github.io/tags/bone-implant/index.xml" rel="self" type="application/rss+xml"/><description>Bone Implant</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 18 Jun 2024 00:00:00 +0000</lastBuildDate><image><url>https://tak-wong.github.io/media/icon_hu_14771e4d841b9128.png</url><title>Bone Implant</title><link>https://tak-wong.github.io/tags/bone-implant/</link></image><item><title>VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces</title><link>https://tak-wong.github.io/publications/2024-wong-volraft/</link><pubDate>Tue, 18 Jun 2024 00:00:00 +0000</pubDate><guid>https://tak-wong.github.io/publications/2024-wong-volraft/</guid><description>&lt;!-- Add the paper text or supplementary notes. Markdown, math, and code are supported. --&gt;
&lt;h2 id="how-to-cite"&gt;How to cite&lt;/h2&gt;
&lt;p&gt;Wong, Tak Ming, Julian Moosmann, and Berit Zeller-Plumhoff. &amp;ldquo;VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces.&amp;rdquo; In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 53-62. 2024.&lt;/p&gt;
&lt;h2 id="bibtex"&gt;Bibtex&lt;/h2&gt;
&lt;pre&gt;&lt;code&gt;@InProceedings{wong2024volraft,
author = {Wong, Tak Ming and Moosmann, Julian and Zeller-Plumhoff, Berit},
title = {VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2024},
pages = {53-62}
}
&lt;/code&gt;&lt;/pre&gt;</description></item></channel></rss>