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Publications.html
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[<a href="index.html">Home</a>] [<a href="Projects.html">Projects</a>] [Publications] [<a href="Blogs.html">Blogs</a>] [<a href="Misc.html">Misc</a>] [<a href="faq.html">FAQ</a>]
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<h2>Publications</h2>
If you want to find out other information than the list of publication titles, such as citations, journal reviews, etc., you can check out my <a href="">Google Scholar</a> and <a href="https://orcid.org/0000-0001-8351-1145">ORCID</a>
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<h3>Journal Papers</h3>
<ol>
<li><p><a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.4231">A feature-based convolutional neural network for reconstruction of interventioanl MRI.</a></p>
<p>B Zufiria, S Qiu, <b>K Yan</b>, R Zhao, R Wang, H She, C Zhang, B Sun, P Herman, YP Du, Y Feng. <i>NMR in Biomedicine (2022)</i></p></li>
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<h3>Conference Papers</h3>
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<li><p><a href="https://link.springer.com/chapter/10.1007/978-3-031-52448-6_37">C<sup>3</sup>-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstruction Undersampled CMR Images.</a></p>
<p>Q Dou, <b>K Yan</b>, S Chen, Z Wang, X Feng, CH Meyer. <i>STACOM (2023)</i></p></li>
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<h3>Abstracts</h3>
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<li><p><a href="https://cds.ismrm.org/protected/24MPresentations/abstracts/2433.html">Multi-dimensional denosing of diffusion MRI using low rank tensor dictionary learning.</a></p>
<p><b>K Yan</b>, Q Dou, CH Meyer. <i>ISMRM 2024</i>. No. #2433</p></li>
<li><p><a href="https://cds.ismrm.org/protected/23MPresentations/abstracts/4646.html">Accelerated parameter mapping in the k-p domain via nonconvex low rank constriant.</a></p>
<p><b>K Yan</b>, CH Meyer. <i>ISMRM 2023</i>. No. #4646</p></li>
<li><p><a href="https://archive.ismrm.org/2022/1163.html">Applying advanced denoisers to enhace highly undersampled MRI reconstruction under Plug-and-play ADMM framework.</a></p>
<p><b>K Yan</b>, Z Wang, Q Dou, S Chen, CH Meyer. <i>ISMRM 2022</i>. No. #1163</p></li>
<li><p> <a href="https://archive.ismrm.org/2022/1041.html">Simultaneous ADC mapping and water-fat separation with B0 correction using a rosette acquisition.</a></p>
<p><b>K Yan</b>, H She, YP Du. <i>ISMRM 2022</i>. No. #1041</p></li>
<li><p><a href="https://archive.ismrm.org/2020/0999.html">Dynamic Real-time MRI with Deep Convolutional Recurrent Neural Network and Non-Cartesian Fidelity.</a></p>
<p>Y Zhang, Z Wang, Q Chen, S Li, Z Ding, C Shen, X Chen,<b>K Yan</b>, C Zhang. X Zhou, YP Du, H She. <i>ISMRM 2020</i>. No. #0999 <span style="color:red">[Oral]</span></p></li>
<li><p><a href="https://archive.ismrm.org/2020/3626.html">A Recurrent Neural Network (RNN) based reconstruction of extremely undersampled neuro-interventional MRI.</a></p>
<p>R Zhao, T Wang, <b>K Yan</b>, C Zhang, Z Liang, YP Du, D Li, B Sun, Y Feng. <i>ISMRM 2020</i>. No. #3626</p></li>
<li><p><a href="https://archive.ismrm.org/2019/4101.html">Dynamic 3D lung MRI using the stack-of-stars sequence with SI navigation.</a></p>
<p>S Li, X Chen, <b>K Yan</b>, X Chen, X Gong, J Xu, Q Liu, Q Chen, H She, YP Du. <i>ISMRM 2019</i>. No. #4101</p></li>
<li><p><a href="https://archive.ismrm.org/2019/0142.html">Accelerate Parallel CEST Imaging with Dynamic Convolutional Recurrent Neural Network.</a></p>
<p> H She, Q Chen, S Li, <b>K Yan</b>, X Chen, X Chen, Y Feng, J Keupp, R Lenkinski, E Vinogradov, YP Du. <i>ISMRM 2019</i>. No. #0142 <span style="color:red">[Oral]</span></p></li>
<li><p><a href="https://archive.ismrm.org/2019/2434.html">A novel feature based image reconstruction for neuro-interventional MRI.</a></p>
<p><b>K Yan</b>, B Zufiria, A Singer, X Chen, Z Yang, S Li, S Qiu, H She, B Sun, YP Du, Z Liang, Y Feng. <i>ISMRM 2019</i>. No. #2434</p></li>
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<h3>Archive</h3>
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<li><p><a href="https://arxiv.org/abs/2404.01082">The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023.</a></p>
<p>J Lyu, C Qin, S Wang, ..., <b>K Yan</b>, ... ,X Qu, H Wang, C Wang. preprint arXiv:2404/01082</p></li>
<li><p><a href="https://doi.org/10.31225/osf.io/8rf7v">Long Spiral Thermometry: A Report.</a></p>
<p>SP Allen, S Chen, <b>K Yan</b>, CH Meyer. preprint DOI: https://doi.org/10.31225/osf.io/8rf7v</p></li>
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