Generative models improve radiomics performance in different tasks and different datasets: An experimental study

•Generative models can improve radiomics performance in different tasks when radiomics extracted from low dose CTs.•Simulation paired low-high dose CTs trained generative models can be used to denoise low dose CT without re-training.•Generative models can improve AUC by 0.05 of radiomics in survival predication and lung cancer diagnosis.•Denoising using generative models seems to be a necessary pre-processing step for radiomic features from low dose CTs.