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Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan.

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Title: Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan.
Authors: Hett, Kilian1 (AUTHOR), McKnight, Colin D.2 (AUTHOR), Leguizamon, Melanie1 (AUTHOR), Lindsey, Jennifer S.2 (AUTHOR), Eisma, Jarrod J.1 (AUTHOR), Elenberger, Jason1 (AUTHOR), Stark, Adam J.1 (AUTHOR), Song, Alexander K.1 (AUTHOR), Aumann, Megan1 (AUTHOR), Considine, Ciaran M.3 (AUTHOR), Claassen, Daniel O.1 (AUTHOR), Donahue, Manus J.1,3,4 (AUTHOR) mj.donahue@vumc.org
Source: Fluids & Barriers of the CNS. 2/13/2024, Vol. 21 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Fluids+%26+Barriers+of+the+CNS%22">Fluids & Barriers of the CNS</searchLink>. 2/13/2024, Vol. 21 Issue 1, p1-15. 15p.
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        Value: 10.1186/s12987-024-00516-w
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              Text: 2/13/2024
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