Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images

Author:

Adams Matthew P.ORCID,Rahmim ArmanORCID,Tang JingORCID

Funder

National Science Foundation Directorate for Engineering

Michael J Fox Foundation for Parkinson's Research

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Parkinson’s Disease: Etiology, Neuropathology, and Pathogenesis;Kouli,2018

2. Parkinson’s disease;Kalia;Lancet,2015

3. Mesostriatal and mesolimbic dopamine uptake binding sites are reduced in Parkinson’s disease and progressive supranuclear palsy: a quantitative autoradiographic study using [3H]mazindol;Chinaglia;Neuroscience,1992

4. A rostrocaudal gradient for aromatic acid decarboxylase in the human striatum;Garnett;Can. J. Neurol. Sci.,1987

5. Biomarkers for Parkison’s [corrected] disease: tools to assess Parkinson’s disease onset and progression;Marek;Ann. Neurol.,2008

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