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Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof‐of‐Concept Study.

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Title: Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof‐of‐Concept Study.
Authors: Mattia, Giulia Maria1 (AUTHOR) giulia-maria.mattia@inserm.fr, Chougar, Lydia2,3 (AUTHOR), Foubert‐Samier, Alexandra4,5,6 (AUTHOR), Meissner, Wassilios G.4,5,7 (AUTHOR), Fabbri, Margherita1,8,9,10 (AUTHOR), Pavy‐Le Traon, Anne1,8,9,10 (AUTHOR), Rascol, Olivier1,8,9,10 (AUTHOR), Grabli, David11 (AUTHOR), Degos, Bertrand12,13 (AUTHOR), Pyatigorskaya, Nadya2 (AUTHOR), Faucher, Alice12 (AUTHOR), Vidailhet, Marie11 (AUTHOR), Corvol, Jean‐Christophe11 (AUTHOR), Lehéricy, Stéphane2 (AUTHOR), Péran, Patrice1 (AUTHOR)
Source: Movement Disorders. Oct2025, Vol. 40 Issue 10, p2139-2148. 10p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof‐of‐Concept Study.
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  Data: <searchLink fieldCode="JN" term="%22Movement+Disorders%22">Movement Disorders</searchLink>. Oct2025, Vol. 40 Issue 10, p2139-2148. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188874166
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              Text: Oct2025
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