Alessandro Masci
Affiliations:- University of Bologna, Italy
According to our database1,
Alessandro Masci
authored at least 12 papers
between 2017 and 2021.
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Bibliography
2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
Simulation of the Hemodynamic Effects of the Left Atrial Appendage Occlusion in Atrial Fibrillation: Preliminary Results.
Proceedings of the Computing in Cardiology, 2020
2019
Design, Development and Test of Different Cardiac Contraction Models in Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019
An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Towards a repository of synthetic electrograms for atrial activation detection in atrial fibrillation.
Comput. Biol. Medicine, 2018
A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Development of a New Approach for the Assessment of Complex Blood Flow Patterns in the Left Atrium From 4D Flow MRI.
Proceedings of the Computing in Cardiology, 2018
Development of New Left Atrial Anatomical Models for the Study of the Left Atrial Appendage Implications in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018
Quantification of Left Atrium Fibrosis From Late Gadolinium Enhanced MRI in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018
2017
A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
Development of a Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation on a Patient Specific Basis.
Proceedings of the Computing in Cardiology, 2017