Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

7 May 2018

Papers citing "Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks"

7 / 7 papers shown

Title
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search Mehdi Asadi Fatemeh Poursalim Mohammad Loni Masoud Daneshtalab Mikael Sjödin Arash Gharehbaghi 35 7 0 17 Jan 2023
Deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms Ali Sadeghi A. Rezaee F. Hajati 14 1 0 07 Dec 2022
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG Dacheng Chen Dan Li Xiuqin Xu Ruizhi Yang See-Kiong Ng 14 3 0 19 Jan 2021
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks Sajad Mousavi Fatemeh Afghah U. Rajendra 22 94 0 12 Feb 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 30 226 0 24 Oct 2019
Automatic diagnosis of the 12-lead ECG using a deep neural network Antônio H. Ribeiro Manoel Horta Ribeiro Gabriela M. M. Paixão D. Oliveira P. R. Gomes ... Carl R. Andersson P. Macfarlane W. Meira Jr. Thomas B. Schon A. L. Ribeiro 19 647 0 02 Apr 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016