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Quantitative Assessment of Facial Paralysis Using Dynamic 3D Photogrammetry and Deep Learning: A Hybrid Approach Integrating Expert Consensus.

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Title: Quantitative Assessment of Facial Paralysis Using Dynamic 3D Photogrammetry and Deep Learning: A Hybrid Approach Integrating Expert Consensus.
Authors: Ju, Xiangyang1 (AUTHOR) xiangyang.ju@glasgow.ac.uk, Ayoub, Ashraf2 (AUTHOR), Morley, Stephen3 (AUTHOR)
Source: Sensors (14248220). Jun2025, Vol. 25 Issue 11, p3264. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jun2025, Vol. 25 Issue 11, p3264. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185869854
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        Value: 10.3390/s25113264
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      – TitleFull: Quantitative Assessment of Facial Paralysis Using Dynamic 3D Photogrammetry and Deep Learning: A Hybrid Approach Integrating Expert Consensus.
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