Mauro Pepi
Orcid: 0000-0003-2524-6288
According to our database1,
Mauro Pepi
authored at least 13 papers
between 2013 and 2023.
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Bibliography
2023
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.
Comput. Biol. Medicine, February, 2023
2021
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Comput. Methods Programs Biomed., 2021
2020
3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method.
Biomed. Signal Process. Control., 2020
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network.
Proceedings of the Computing in Cardiology, 2020
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2020
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.
Comput. Biol. Medicine, 2018
Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach.
Proceedings of the Computing in Cardiology, 2018
2016
Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images.
Proceedings of the Computing in Cardiology, 2015
Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2015
Proceedings of the Computing in Cardiology, 2015
2014
Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
2013
Quantitative Characterization of Mitral Annulus and Leaflets from Transesophageal 3D Echocardiography.
Proceedings of the Computing in Cardiology, 2013