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	<title>2021Nashed CryoPoseNet - Revision history</title>
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	<updated>2026-05-24T22:00:37Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2021Nashed_CryoPoseNet&amp;diff=4091&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Nashed, Y. S.; Poitevin, F.; Gupta, H.; Woollard, G.; Kagan, M.; Yoon, C. H. &amp;amp; Ratner, D. CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle...&quot;</title>
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		<updated>2021-10-22T07:11:03Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Nashed, Y. S.; Poitevin, F.; Gupta, H.; Woollard, G.; Kagan, M.; Yoon, C. H. &amp;amp; Ratner, D. CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
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Nashed, Y. S.; Poitevin, F.; Gupta, H.; Woollard, G.; Kagan, M.; Yoon, C. H. &amp;amp;amp; Ratner, D. CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D Map Reconstruction From Cryo-Electron Microscopy Data. Proc. IEEE/CVF Intl. Conf. on Computer Vision, 2021, 4066-4076 &lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Cryogenic electron microscopy (cryo-EM) provides im-ages from different copies of the same biomolecule in ar-bitrary orientations. Here, we present an end-to-end unsu-pervised approach that learns individual particle orienta-tions directly from cryo-EM data while reconstructing the3D map of the biomolecule following random initialization.The approach relies on an auto-encoder architecture wherethe latent space is explicitly interpreted as orientations usedby the decoder to form an image according to the physi-cal projection model. We evaluate our method on simulateddata and show that it is able to reconstruct 3D particle mapsfrom noisy- and CTF-corrupted 2D projection images of un-known particle orientations.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://openaccess.thecvf.com/content/ICCV2021W/LCI/html/Nashed_CryoPoseNet_End-to-End_Simultaneous_Learning_of_Single-Particle_Orientation_and_3D_Map_ICCVW_2021_paper.html&lt;br /&gt;
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== Related software ==&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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