Quantitative Characterization of Mitral Annulus and Leaflets from Transesophageal 3D Echocardiography. - Miguel Sotaquira; Laura Fusini; Mauro Pepi; Roberto M. Lang; Enrico G. Caiani (CinC, 2013)

Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden. - Maria Chiara Carminati; Concetta Piazzese; Lynn Weinert; Wendy Tsang; Gloria Tamborini; Mauro Pepi; Roberto M. Lang; Enrico Gianluca Caiani (WBIR, 2014)

Quantification of Myocardial Viability in Late-Gadolinium Enhancement Cardiac MRI. - Maria Chiara Carminati; Cinzia Boniotti; Mauro Pepi; Enrico G. Caiani (CinC, 2015)

Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images. - Concetta Piazzese; Maria Chiara Carminati; Andrea Colombo; Rolf Krause; Mark Potse; Lynn Weinert; Gloria Tamborini; Mauro Pepi; Roberto M. Lang; Enrico G. Caiani (CinC, 2015)

Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images. - Miguel Sotaquira; Mauro Pepi; Gloria Tamborini; Enrico G. Caiani (CinC, 2015)

Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach. - Concetta Piazzese; Maria Chiara Carminati; Rolf Krause; Angelo Auricchio; Lynn Weinert; Gloria Tamborini; Mauro Pepi; Roberto M. Lang; Enrico G. Caiani (CinC, 2016)

Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach. - Sara Moccia; Riccardo Banali; Chiara Martini; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico G. Caiani (CinC, 2018)

A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images. - Maria Chiara Carminati; Concetta Piazzese; Mauro Pepi; Gloria Tamborini; Paola Gripari; Gianluca Pontone; Rolf Krause; Angelo Auricchio; Roberto M. Lang; Enrico G. Caiani (Comput. Biol. Medicine, 2018)

A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images. - Sara Moccia; Alessandro Cagnoli; Chiara Martini; Giuseppe Moscogiuri; Mauro Pepi; Emanuele Frontoni; Gianluca Pontone; Enrico Gianluca Caiani (CinC, 2020)

Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network. - Marco Penso; Sara Moccia; Stefano Scafuri; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico Gianluca Caiani (CinC, 2020)

3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method. - Concetta Piazzese; Maria Chiara Carminati; Rolf Krause; Angelo Auricchio; Lynn Weinert; Paola Gripari; Gloria Tamborini; Gianluca Pontone; Daniele Andreini; Roberto M. Lang; Mauro Pepi; Enrico G. Caiani (Biomed. Signal Process. Control., 2020)

Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network. - Marco Penso; Sara Moccia; Stefano Scafuri; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico Gianluca Caiani (Comput. Methods Programs Biomed., 2021)

A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images. - Marco Penso; Sara Moccia; Enrico G. Caiani; Gloria Caredda; Maria Luisa Lampus; Maria Ludovica Carerj; Mario Babbaro; Mauro Pepi; Mattia Chiesa; Gianluca Pontone (Comput. Biol. Medicine, 2023)

Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images. - Francesca Righetti; Giulia Rubiu; Marco Penso; Sara Moccia; Maria Ludovica Carerj; Mauro Pepi; Gianluca Pontone; Enrico G. Caiani (Medical Biol. Eng. Comput., 2025)