Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram

20 October 2020

Papers citing "Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram"

7 / 7 papers shown

Title
Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models Andrei Apostol Maria Nutu 60 0 0 25 Feb 2025
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity H. Pham K. Egorov Alexey Kazakov S. Budennyy 19 7 0 10 Mar 2023
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN M. Islam Khondokar Fida Hasan Sunjida Sultana M. S. Uddin Pietro Lio Julian M. W. Quinn M. Moni 29 48 0 06 Mar 2023
A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis Performance Jae-Won Choi Dae-Yong Hong Chan Jung Eugene Hwang Sungmin Park S. Roh 17 2 0 30 Jul 2022
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification Khiem H. Le Hieu H. Pham Thao BT. Nguyen Tu Nguyen T. Thanh Cuong D. Do 18 34 0 25 Jul 2022
SIM-ECG: A Signal Importance Mask-driven ECGClassification System K. Dharma Chicheng Zhang C. Gniady P. Agarwal Sushil Sharma 31 0 0 28 Oct 2021
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 102 1,073 0 11 Sep 2019