Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease-Reference-Cited by-同舟云学术

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Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease

Published:2022-11-05 Issue: Volume:15 Page:1-4
ISSN:
Container-title:2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Castillo-Barnes D.¹,Garcia-Diaz R.¹,Merino-Chica J.¹,Segovia F.¹,Jimenez-Mesa C.¹,Arco J. E.²,Ramírez J.¹,Górriz J. M.¹

Affiliation:

1. University of Granada,Networking and Communications and Andalusian Research Institute on Data Science and Computational Intelligence,Dept. of Signal Theory,Granada,Spain,18071

2. University of Malaga,Dept. of Communications Engineering,Malaga,Spain,29004

Funder

Junta de Andalucía

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10398888/10398889/10399257.pdf?arnumber=10399257

Reference18 articles.

1. Cognitive Impairment in Parkinson’s Disease: Epidemiology, Clinical Profile, Protective and Risk Factors

2. Challenges in the diagnosis of Parkinson's disease

3. Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions

4. Series in Machine Perception and Artificial Intelligence

5. Building a FP-CIT SPECT Brain Template Using a Posterization Approach

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