Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

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Title: Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.
Authors: Lee, Jeyeon1,2, Burkett, Brian J1, Min, Hoon-Ki1, Senjem, Matthew L3, Dicks, Ellen4, Corriveau-Lecavalier, Nick4, Mester, Carly T5, Wiste, Heather J5, Lundt, Emily S5, Murray, Melissa E6, Nguyen, Aivi T7, Reichard, Ross R7, Botha, Hugo4, Graff-Radford, Jonathan4, Barnard, Leland R4, Gunter, Jeffrey L1, Schwarz, Christopher G1, Kantarci, Kejal1, Knopman, David S4, Boeve, Bradley F4
Source: Brain: A Journal of Neurology; Mar2024, Vol. 147 Issue 3, p980-995, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 175938135
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Brain%3A+A+Journal+of+Neurology%22">Brain: A Journal of Neurology</searchLink>; Mar2024, Vol. 147 Issue 3, p980-995, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=175938135
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      – Type: doi
        Value: 10.1093/brain/awad346
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 980
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      – TitleFull: Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.
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            – D: 01
              M: 03
              Text: Mar2024
              Type: published
              Y: 2024
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