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August 27, 2019Open Access

Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study

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National Institutes of Health and Parkinson's Foundation.

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Authors

Derek B. Archer

Vanderbilt University

Justin T Bricker

University of Florida

Winston T. Chu

National Institutes of Health

Journals

SHILAP Revista de lepidopterología

The Lancet Digital Health

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Harvard University

University of Michigan

University of Chicago

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Archer et al. (Tue,) studied this question.

synapsesocial.com/papers/69deac95499d77a496b0c784 — DOI: https://doi.org/10.1016/s2589-7500(19)30105-0

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FSL· 2011 · 11,818 citations
Neuroimaging biomarkers for <scp>P</scp>arkinson disease: Facts and fantasy· 2014 · 41 citations
A probabilistic atlas of the cerebellar white matter· 2015 · 105 citations

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Harmonization of multi-site diffusion tensor imaging data· 2017 · 1,270 citations
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach· 1988 · 22,229 citations
FSL· 2011 · 11,818 citations
Neuroimaging biomarkers for <scp>P</scp>arkinson disease: Facts and fantasy· 2014 · 41 citations
A probabilistic atlas of the cerebellar white matter· 2015 · 105 citations

Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Also consider