Multimodal Brain Connectomics-Based Prediction of Parkinson's Disease Using Graph Attention Networks.

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Bibliographic Details
Title: Multimodal Brain Connectomics-Based Prediction of Parkinson's Disease Using Graph Attention Networks.
Authors: Safai A; Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India., Vakharia N; Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India., Prasad S; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.; Department of Clinical Neuroscience, National Institute of Mental Health and Neurosciences, Bengaluru, India., Saini J; Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Shah A; Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India., Lenka A; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Pal PK; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Ingalhalikar M; Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
Source: Frontiers in neuroscience [Front Neurosci] 2022 Feb 23; Vol. 15, pp. 741489. Date of Electronic Publication: 2022 Feb 23 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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