Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Published:2019-07-02 Issue: Volume:13 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Ortiz Andrés,Munilla Jorge,Martínez-Ibañez Manuel,Górriz Juan M.,Ramírez Javier,Salas-Gonzalez Diego

Funder

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference46 articles.

1. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning;Alipanahi;Nat. Biotechnol.,2015

2. Discriminating among degenerative parkinsonisms using advanced 123i-ioflupane spect analyses;Badoud;NeuroImage,2016

3. Early detection of parkinson's disease through shape based features from lt;sup gt;123 lt;/sup gt;i-ioflupane spect imaging,;Bhalchandra,2015

4. Comparison between different intensity normalization methods in 123I-ioflupane imaging for the automatic detection of parkinsonism;Brahim;PLoS ONE,2015

5. The rise of deep learning in drug discovery;Chen;Drug Discov. Today,2018

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