SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification

27 June 2020

Papers citing "SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification"

7 / 7 papers shown

Title
Deep Generative Models for Physiological Signals: A Systematic Literature Review Nour Neifar Afef Mdhaffar A. Ben-Hamadou M. Jmaiel MedIm 32 4 0 12 Jul 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 20 47 0 19 Jan 2023
CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals Tushar Agarwal Emre Ertin MedIm 20 2 0 15 Nov 2022
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases Jintai Chen Kuan-Yu Liao Kun Wei Haochao Ying D. Z. Chen Jian Wu MedIm 21 18 0 21 Jul 2022
EvoGAN: An Evolutionary Computation Assisted GAN Feng Liu Hanyang Wang Jiahao Zhang Ziwang Fu Aimin Zhou Jiayin Qi Zhibin Li GAN 22 24 0 22 Oct 2021
Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network Yu-He Zhang S. Babaeizadeh GAN 26 21 0 02 Jun 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 27 54 0 25 Feb 2021