Cardiac Rhythm Device Identification Using Neural Networks-Reference-Cited by-同舟云学术

Cardiac Rhythm Device Identification Using Neural Networks

Published:2019-05 Issue:5 Volume:5 Page:576-586
ISSN:2405-500X
Container-title:JACC: Clinical Electrophysiology
language:en
Short-container-title:JACC: Clinical Electrophysiology

Author:

Howard James P.,Fisher Louis,Shun-Shin Matthew J.,Keene Daniel,Arnold Ahran D.,Ahmad Yousif,Cook Christopher M.,Moon James C.,Manisty Charlotte H.,Whinnett Zach I.,Cole Graham D.,Rueckert Daniel,Francis Darrel P.

Funder

Medical Research Council

Imperial College London

British Heart Foundation

Wellcome Trust

Imperial College Healthcare NHS Trust

National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology

Publisher

Elsevier BV

Reference19 articles.

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2. Statistics on the use of cardiac electronic devices and electrophysiological procedures in the European Society of Cardiology countries: 2014 report from the European Heart Rhythm Association;Raatikainen;Europace,2015

3. Cardiac rhythm device identification algorithm using x-rays: CaRDIA-X;Jacob;Heart Rhythm,2011

4. Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance;Mazurowski;Neural Networks,2008

5. Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. 2015. Available at: https://arxiv.org/abs/1409.1556. Accessed March 8, 2019.

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