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Predictive markers for Parkinson’s disease using deep neural nets on neuromelanin sensitive MRI
Sumeet Shinde, View ORCID ProfileShweta Prasad, Yash Saboo, Rishabh Kaushick, Jitender Saini, Pramod Kumar Pal, Madhura Ingalhalikar
doi: https://doi.org/10.1101/523100
Sumeet Shinde
1Symbiosis Center of Medical Image Analysis, Symbiosis International (Deemed) University, Pune, India
BEShweta Prasad
2Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India
3Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences, Bangalore, India
MBBSYash Saboo
1Symbiosis Center of Medical Image Analysis, Symbiosis International (Deemed) University, Pune, India
BTechRishabh Kaushick
1Symbiosis Center of Medical Image Analysis, Symbiosis International (Deemed) University, Pune, India
BTechJitender Saini
4Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India
MBBSMDDMPramod Kumar Pal
2Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India
MBBSMDDNDDMMadhura Ingalhalikar
1Symbiosis Center of Medical Image Analysis, Symbiosis International (Deemed) University, Pune, India
PhDArticle usage
Posted January 17, 2019.
Predictive markers for Parkinson’s disease using deep neural nets on neuromelanin sensitive MRI
Sumeet Shinde, Shweta Prasad, Yash Saboo, Rishabh Kaushick, Jitender Saini, Pramod Kumar Pal, Madhura Ingalhalikar
bioRxiv 523100; doi: https://doi.org/10.1101/523100
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