1. Generation and evaluation of synthetic patient data;Goncalves;BMC Med Res Methodol,2020
2. The use of synthetic electronic health record data and deep learning to improve timing of high-risk heart failure surgical intervention by predicting proximity to catastrophic decompensation;Guo;Front Digit Health,2020
3. Generative adversarial networks in cardiology;Skandarani;Can J Cardiol,2022
4. Synthetic generation of cardiac MR images combining convolutional variational autoencoders and style transfer; synthetic generation of cardiac MR images combining convolutional variational autoencoders and style transfer;Manuel Jaen-Lorites,2022
5. Padhi I, Schiff Y, Melnyk I, Rigotti M, Mroueh Y, Dognin P, et al. Tabular transformers for modeling multivariate time series [Internet]. Available from: https://github.com/IBM/TabFormer.