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

27 May 2020

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

5 / 5 papers shown

Title
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 14 31 0 14 Mar 2022
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 11 11 0 11 Sep 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 432 0 04 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 31 371 0 21 Jan 2020
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 145 568 0 19 Mar 2017