Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks
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[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] U. Rajendra Acharya,et al. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats , 2018, Comput. Biol. Medicine.
[3] Minho Lee,et al. Convolutional Neural Network with Biologically Inspired Retinal Structure , 2016, BICA.
[4] P. Wolf,et al. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Shafi Goldwasser,et al. Machine Learning Classification over Encrypted Data , 2015, NDSS.
[7] Kemal Polat,et al. Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine , 2007, Appl. Math. Comput..
[8] Ming-Zher Poh,et al. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms , 2018, Heart.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] M A Waclawiw,et al. Atrial fibrillation is associated with an increased risk for mortality and heart failure progression in patients with asymptomatic and symptomatic left ventricular systolic dysfunction: a retrospective analysis of the SOLVD trials. Studies of Left Ventricular Dysfunction. , 1998, Journal of the American College of Cardiology.
[11] Qiao Li,et al. Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach , 2014, IEEE Transactions on Biomedical Engineering.
[12] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[13] Miroslaw Malek,et al. Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[14] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[15] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[16] Henggui Zhang,et al. Detecting atrial fibrillation by deep convolutional neural networks , 2018, Comput. Biol. Medicine.
[17] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[18] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..