Radiomics-based image analysis is a rapidly evolving field that aims to extract quantitative features from medical images, to improve disease diagnosis, prognosis and treatment planning [1]. Multiple factors influence radiomics feature values, including variations in image acquisition and reconstruction (such as different scanners), ROI segmentation, image pre-processing, and biological variability due to patient-specific factors. Among these, normalization methods used in image pre-processing h…