… update on the status of radiomics clinical applications in cardiovascular imaging. … images
[20]. The aim of this section is to review the current radiomics applications in cardiovascular CT. …

… applications of radiomics and ML in the domain of cardiovascular imaging disease, sorted by
imaging … Specifically, we will focus on cardiac imaging, given its essential role to diagnose …

… cardiovascular imaging, using cardiac CT as a running example of how novel machine
learning (ML)-based radiomic … The integration of ML, deep learning, and radiomic methods has …

… cardiac imaging data with the potential to alter medical practices. The rise of machine learning
(ML) and radiomics – the concept that images … in major cardiac imaging modalities, such …

… Radiomics is a complex subject that involves the interaction of different disciplines; our …
radiomic techniques and review current applications in cardiac computed tomography imaging. …

… from imaging data—holds the key to unleash the untapped potential of information withheld
in imaging … , we review the principles of radiomics, along with its potential role in CV imaging. …

… cardiac MRI and CT radiomics applications. Two researchers in consensus assessed each
investigation using the radiomics … focusing on radiomics-based cardiac imaging showed an …

… , the radiomics and the AI domain. After reviewing some examples of clinical applications of
radiomics and AI in cardiac imaging, … of radiomics and AI and solutions to overcome them. …

… were segmented and verified simultaneously by two cardiac imaging experts in
consensus. Subsequently, features extraction was performed within the whole left ventricular …

… of cardiac CT radiomics analysis. This review describes the current literature on radiomics in
cardiac … Although much evidences are needed in this field, cardiac CT radiomics has a lot to …