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Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?

27 May 2020
Jeremy Georges-Filteau
Elisa Cirillo
    SyDa
    AI4CE
ArXivPDFHTML

Papers citing "Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?"

10 / 10 papers shown
Title
Rapid Review of Generative AI in Smart Medical Applications
Rapid Review of Generative AI in Smart Medical Applications
Yuan Sun
Jorge Ortiz
MedIm
37
12
0
08 Jun 2024
A primer on synthetic health data
A primer on synthetic health data
Jennifer Anne Bartell
Sander Boisen Valentin
Anders Krogh
Henning Langberg
Martin Bøgsted
26
1
0
31 Jan 2024
Methods for generating and evaluating synthetic longitudinal patient
  data: a systematic review
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja
Kari Auranen
Joni Virta
SyDa
19
3
0
21 Sep 2023
Synthetic data generation for a longitudinal cohort study -- Evaluation,
  method extension and reproduction of published data analysis results
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results
Lisa Kühnel
Julian Schneider
Ines Perrar
Tim Adams
F. Prasser
U. Nöthlings
Holger Fröhlich
Juliane Fluck
27
5
0
12 May 2023
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
27
32
0
14 Mar 2022
Game of GANs: Game-Theoretical Models for Generative Adversarial
  Networks
Game of GANs: Game-Theoretical Models for Generative Adversarial Networks
Monireh Mohebbi Moghadam
Bahar Boroumand
Mohammad Jalali
Arman Zareian
Alireza Daei Javad
M. Manshaei
Marwan Krunz
GAN
34
27
0
13 Jun 2021
MACE: A Flexible Framework for Membership Privacy Estimation in
  Generative Models
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu
S. Mukherjee
Xiyang Liu
Shruti Tople
Rahul Dodhia
J. L. Ferres
MIACV
19
11
0
11 Sep 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
193
434
0
04 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
45
374
0
21 Jan 2020
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
150
569
0
19 Mar 2017
1