A Radiomics Approach to Predicting Parkinson's Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure.

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Bibliographic Details
Title: A Radiomics Approach to Predicting Parkinson's Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure.
Authors: Cao X; Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH, United States., Wang X; Department of Radiology, Affiliated Brain Hospital, Nanjing Medical University, Nanjing, China., Xue C; Department of Radiology, Affiliated Brain Hospital, Nanjing Medical University, Nanjing, China., Zhang S; Department of Statistics, University of Florida, Gainesville, FL, United States., Huang Q; Department of Radiology, Affiliated Brain Hospital, Nanjing Medical University, Nanjing, China., Liu W; Department of Neurology, Affiliated Brain Hospital, Nanjing Medical University, Nanjing, China.
Source: Frontiers in neuroscience [Front Neurosci] 2020 Jul 15; Vol. 14, pp. 751. Date of Electronic Publication: 2020 Jul 15 (Print Publication: 2020).
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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