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‎_bibliography/papers.bib‎

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selected={true}
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}
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@article{saeedi2025cryosense,
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title={Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way},
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author={Amirali Aghazadeh},
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journal={The Conversation},
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year={2025},
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html={https://doi.org/10.64628/AAI.3c9dewyju},
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preview={rock.png}
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}
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@article{saeedi2025cryosense,
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title={cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold},
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author={Zain Shabeeb and Daniel Saeedi and Darin Tsui and Vida Jamali and Amirali Aghazadeh},
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journal={arXiv:2511.12931},
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year={2025},
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journal={Conference on Computer Vision and Pattern Recognition (CVPR)},
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year={2026},
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code={https://github.com/amirgroup-codes/cryoSENSE},
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website={https://cryosense.github.io},
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html={https://arxiv.org/abs/2511.12931},
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preview={ddpm.gif},
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selected={true}
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}
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@article{saeedi2025cryosense,
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title={Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way},
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author={Amirali Aghazadeh},
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journal={The Conversation},
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year={2025},
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html={https://doi.org/10.64628/AAI.3c9dewyju},
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preview={rock.png}
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}
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@article{10.1093/pnasnexus/pgaf334,
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author = {Saeedi, Daniel and Buckner, Denise and Walton, Thomas A and Aponte, José C and Aghazadeh, Amirali},
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title = {Discriminating abiotic and biotic organics in meteorite and terrestrial samples using machine learning on mass spectrometry data},

‎_news/announcement2026_cryosense.md‎

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---
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layout: post
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date: 2026-2-21 10:38:00-0400
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inline: true
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---
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cryoSENSE has been accepted to <b>CVPR</b>! 🎉
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We demonstrate that generative AI can dramatically increase data throughput in cryo-EM acquisition.
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‎_site/404.html‎

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‎_site/applicants/index.html‎

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section: "News",},{id: "news-our-lifetracer-work-with-nasa-on-discriminating-abiotic-and-biotic-organics-in-meteorite-and-terrestrial-samples-is-now-accepted-to-pnas-nexus",
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‎_site/assets/jupyter/blog.ipynb.html‎

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<html lang="en">
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<title>jekyll-jupyter-notebook20260213-54408-rr2d04</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<title>jekyll-jupyter-notebook20260221-22915-6jynjl</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<style type="text/css">
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pre { line-height: 125%; }
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td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }

‎_site/blog/2022/index.html‎

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‎_site/blog/2024/index.html‎

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section: "News",},{id: "news-our-lifetracer-work-with-nasa-on-discriminating-abiotic-and-biotic-organics-in-meteorite-and-terrestrial-samples-is-now-accepted-to-pnas-nexus",
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‎_site/blog/2024/tabs/index.html‎

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<p>With this you can generate visualizations like:</p>
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<ul id="log" class="tab" data-tab="568906cd-b3cf-4b36-a674-e0e9dc186e26" data-name="log">
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<ul id="log" class="tab" data-tab="b823a077-ea3f-4118-9e03-3ca3fb5f791c" data-name="log">
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<a href="#">php </a>
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<div class="language-php highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nb">var_dump</span><span class="p">(</span><span class="s1">'hello'</span><span class="p">);</span>
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<h2 id="another-example">Another example</h2>
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<div class="language-yaml highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="na">hello</span><span class="pi">:</span>
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<h2 id="tabs-for-something-else">Tabs for something else</h2>
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<p>Regular text</p>
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Aghazadeh.
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section: "News",},{id: "news-our-lifetracer-work-with-nasa-on-discriminating-abiotic-and-biotic-organics-in-meteorite-and-terrestrial-samples-is-now-accepted-to-pnas-nexus",
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‎_site/blog/category/sample-posts/index.html‎

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‎_site/blog/tag/code/index.html‎

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