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3DAD: Super-Resolution Image Synthesis from Anisotropic CT Images Using a Three-Dimensional Adversarial Diffusion Model.

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Title: 3DAD: Super-Resolution Image Synthesis from Anisotropic CT Images Using a Three-Dimensional Adversarial Diffusion Model.
Authors: Lu, Jianliang1 (AUTHOR), Cheng, Ho Ming1,2 (AUTHOR), Fang, Benjamin Xin Hao2,3 (AUTHOR), Tsang, Chun On Anderson3,4 (AUTHOR), Yu, Sarah1,5 (AUTHOR), Seto, Wai-Kay1,4,5,6 (AUTHOR), Yu, Philip Leung Ho6,7 (AUTHOR), Chiu, Keith Wan-Hang8 (AUTHOR)
Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p595. 24p.
Database: Academic Search Ultimate
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An: 194951653
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  Data: 3DAD: Super-Resolution Image Synthesis from Anisotropic CT Images Using a Three-Dimensional Adversarial Diffusion Model.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Jun2026, Vol. 13 Issue 6, p595. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194951653
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        Value: 10.3390/bioengineering13060595
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: 3DAD: Super-Resolution Image Synthesis from Anisotropic CT Images Using a Three-Dimensional Adversarial Diffusion Model.
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              Text: Jun2026
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              Y: 2026
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