Mauro Pepi

14 papers Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.
Medical Biol. Eng. Comput.
Francesca Righetti, Giulia Rubiu, Marco Penso, Sara Moccia, Maria Ludovica Carerj, Mauro Pepi, Gianluca Pontone, Enrico G. Caiani
2023 J jnl
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.
Comput. Biol. Medicine
Marco Penso, Sara Moccia, Enrico G. Caiani, Gloria Caredda, Maria Luisa Lampus, Maria Ludovica Carerj, Mario Babbaro, Mauro Pepi, Mattia Chiesa, Gianluca Pontone
2021 J jnl
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Comput. Methods Programs Biomed.
Marco Penso, Sara Moccia, Stefano Scafuri, Giuseppe Muscogiuri, Gianluca Pontone, Mauro Pepi, Enrico Gianluca Caiani
2020 J jnl
3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method.
Biomed. Signal Process. Control.
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
2020 — conf
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images.
CinC
Sara Moccia, Alessandro Cagnoli, Chiara Martini, Giuseppe Moscogiuri, Mauro Pepi, Emanuele Frontoni, Gianluca Pontone, Enrico Gianluca Caiani
2020 — conf
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network.
CinC
Marco Penso, Sara Moccia, Stefano Scafuri, Giuseppe Muscogiuri, Gianluca Pontone, Mauro Pepi, Enrico Gianluca Caiani
2018 J jnl
A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images.
Comput. Biol. Medicine
Maria Chiara Carminati, Concetta Piazzese, Mauro Pepi, Gloria Tamborini, Paola Gripari, Gianluca Pontone, Rolf Krause, Angelo Auricchio, Roberto M. Lang, Enrico G. Caiani
2018 — conf
Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach.
CinC
Sara Moccia, Riccardo Banali, Chiara Martini, Giuseppe Muscogiuri, Gianluca Pontone, Mauro Pepi, Enrico G. Caiani
2016 — conf
Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach.
CinC
Concetta Piazzese, Maria Chiara Carminati, Rolf Krause, Angelo Auricchio, Lynn Weinert, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico G. Caiani
2015 — conf
Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images.
CinC
Concetta Piazzese, Maria Chiara Carminati, Andrea Colombo, Rolf Krause, Mark Potse, Lynn Weinert, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico G. Caiani
2015 — conf
Quantification of Myocardial Viability in Late-Gadolinium Enhancement Cardiac MRI.
CinC
Maria Chiara Carminati, Cinzia Boniotti, Mauro Pepi, Enrico G. Caiani
2015 — conf
Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images.
CinC
Miguel Sotaquira, Mauro Pepi, Gloria Tamborini, Enrico G. Caiani
2014 — conf
Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden.
WBIR
Maria Chiara Carminati, Concetta Piazzese, Lynn Weinert, Wendy Tsang, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico Gianluca Caiani
2013 — conf
Quantitative Characterization of Mitral Annulus and Leaflets from Transesophageal 3D Echocardiography.
CinC
Miguel Sotaquira, Laura Fusini, Mauro Pepi, Roberto M. Lang, Enrico G. Caiani