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

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

27 June 2020
Tomer Golany
Daniel Freedman
Kira Radinsky
    GAN
ArXivPDFHTML

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

11 / 11 papers shown
Title
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Nour Neifar
Afef Mdhaffar
A. Ben-Hamadou
M. Jmaiel
MedIm
70
5
0
12 Jul 2023
Explorations and Lessons Learned in Building an Autonomous Formula SAE
  Car from Simulations
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations
Dean Zadok
Tom Hirshberg
Amir Biran
Kira Radinsky
Ashish Kapoor
53
13
0
15 May 2019
ECG Heartbeat Classification: A Deep Transferable Representation
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee
Shayan Fazeli
Majid Sarrafzadeh
39
417
0
19 Apr 2018
Cardiologist-Level Arrhythmia Detection with Convolutional Neural
  Networks
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
Pranav Rajpurkar
Awni Y. Hannun
Masoumeh Haghpanahi
Codie Bourn
A. Ng
59
747
0
06 Jul 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
81
1,176
0
26 Jul 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
248
14,008
0
19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
460
43,277
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Wikipedia-based Semantic Interpretation for Natural Language Processing
Wikipedia-based Semantic Interpretation for Natural Language Processing
E. Gabrilovich
Shaul Markovitch
43
428
0
15 Jan 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
123
12,227
0
19 Dec 2013
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