| Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach A Corti, M Stefanati, M Leccardi, O De Filippo, A Depaoli, P Cerveri, ... Computer Methods and Programs in Biomedicine 260, 108552, 2025 | | 2025 |
| Predicting High-Risk Patients: A Biomechanical-Based Machine Learning Approach for Coronary Vulnerable Plaques Detection A Corti, M Stefanati, M Leccardi, O De Filippo, A Depaoli, P Cerveri, ... COMPUTING IN CARDIOLOGY 51, 2024 | | 2024 |
| Deep Learning Coronary Artery Centerlines Mapping from Contrast-Enhanced CT Images of the Heart M Leccardi, MBM Paracchini, L Mainardi, M Marcon, P Cerveri 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
| Predicting Comatose Patient's Outcome Using Brain Functional Connectivity with a Random Forest Model IW Sampaio, M Leccardi, C Drudi, J Liu, F Righetti, AM Bianchi, R Barbieri, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Deep learning based coronary artery centerline tracking aimed at fractional flow reserve prediction from CCTA images M Leccardi | | 2021 |
