Gianluca Pontone

According to our database, Gianluca Pontone authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system.

Andrea Tonini, Francesco Regazzoni, Matteo Salvador, Luca Dede', Roberto Scrofani, Laura Fusini, Chiara Cogliati, Gianluca Pontone, Christian Vergara, Alfio Quarteroni

CoRR, 2024

An automated and time-efficient framework for simulation of coronary blood flow under steady and pulsatile conditions.

Guido Nannini, Simone Saitta, Luca Mariani, Riccardo Maragna, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Alberto Redaelli

Comput. Methods Programs Biomed., 2024

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

Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi, Mattia Chiesa, Daniele Andreini, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero Colombo

Comput. Methods Programs Biomed., 2024

Aortic valve neocuspidization and bioprosthetic valves: Evaluating turbulence haemodynamics.

Emily Louise Manchester, Selene Pirola, Sergio Pirola, Giorgio Mastroiacovo, Gianluca Polvani, Gianluca Pontone, Xiao Yun Xu

Comput. Biol. Medicine, 2024

2023

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, February, 2023

2022

Multimodality Imaging in Ischemic Chronic Cardiomyopathy.

Giuseppe Muscogiuri, Marco Guglielmo, Alessandra Serra, Marco Gatti, Valentina Volpato, Uwe Joseph Schoepf, Luca Saba, Riccardo Cau, Riccardo Faletti, Liam J. McGill, Carlo Nicola De Cecco, Gianluca Pontone, Serena Dell'Aversana, Sandro Sironi

J. Imaging, 2022

COVID-19 lesion segmentation using convolutional LSTM for self-attention.

Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr J. Slomka

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature.

Simone Di Gregorio, Marco Fedele, Gianluca Pontone, Antonio F. Corno, Paolo Zunino, Christian Vergara, Alfio Quarteroni

J. Comput. Phys., 2021

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

Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka

CoRR, 2021

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

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 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

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.

Sara Moccia, Alessandro Cagnoli, Chiara Martini, Giuseppe Moscogiuri, Mauro Pepi, Emanuele Frontoni, Gianluca Pontone, Enrico Gianluca Caiani

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.

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

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

Proceedings of the Computing in Cardiology, 2018