- Predicting Myocardial Fibrosis Using Machine Learning and Radiomics from Cine-CMR Images Goal of this project is to explore the potential of combining machine learning techniques with radiomic features extracted from cine-CMR images to predict myocardial fibrosis, potentially serving as a non-contrast screening tool to guide the administration of LGE imaging. See details of the available data: Righetti, F., Rubiu, G., Penso, M., Moccia, S., Carerj, M. L., Pepi, M., Pontone, G., & Caiani, E. G. (2025). Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images. Medical & biological engineering & computing, 63(1), 59–3. https://doi.org/10.1007/s11517-024-03175-z ”