Gianluca Pontone

Orcid: 0000-0002-1339-6679

According to our database1, Gianluca Pontone authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.
Comput. Biol. Medicine, February, 2023

CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline.
CoRR, 2023

2022
Multimodality Imaging in Ischemic Chronic Cardiomyopathy.
J. Imaging, 2022


2021
A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature.
J. Comput. Phys., 2021

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.
CoRR, 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


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