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 (CinC, 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)

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 (CinC, 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 (CinC, 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 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)

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; et al. (CoRR, 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)

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; et al. (Image Processing, 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; et al. (J. Imaging, 2022)

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, 2023)

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)

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 002 (Comput. Methods Programs Biomed., 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)

Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system. - Andrea Tonini; Francesco Regazzoni 002; Matteo Salvador; Luca Dede'; Roberto Scrofani; Laura Fusini; Chiara Cogliati; Gianluca Pontone; Christian Vergara; Alfio Quarteroni (CoRR, 2024)

Combining Clinical and Gene Expression Variables via Knowledge Graph Embedding for Prediction of Coronary Artery Stenosis. - Giuseppe Albi; Arianna Dagliati; Chiara Vavassori; Laura Pisani; Mattia Chiesa; Luca Piacentini; Saima Mushtaq; Gianluca Pontone; Riccardo Bellazzi; Gualtiero I. Colombo (AIME (1), 2025)

Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models. - Guido Nannini; Julian Suk; Patryk Rygiel; Simone Saitta; Luca Mariani; Riccardo Maranga; Andrea Baggiano; Gianluca Pontone; Jelmer M. Wolterink; Alberto Redaelli (Comput. Biol. Medicine, 2025)

A personalized computational framework for the diagnosis of cardiac perfusion defects. - Elisabetta Criseo; Andrea Baggiano; Giovanni Montino Pelagi; Guido Nannini; Viola Cusumano; Alberto Redaelli; Gianluca Pontone; Christian Vergara (Comput. Methods Programs Biomed., 2025)

Computational hemodynamic indices to identify Transcatheter Aortic Valve Implantation degeneration. - Luca Crugnola; Christian Vergara; Laura Fusini; Ivan Fumagalli; Giulia Luraghi; Alberto Redaelli; Gianluca Pontone (Comput. Methods Programs Biomed., 2025)

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. - Julian Suk; Guido Nannini; Patryk Rygiel; Christoph Brune; Gianluca Pontone; Alberto Redaelli; Jelmer M. Wolterink (Comput. Methods Programs Biomed., 2025)

Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models. - Guido Nannini; Julian Suk; Patryk Rygiel; Simone Saitta; Luca Mariani; Riccardo Maragna; Andrea Baggiano; Gianluca Pontone; Jelmer M. Wolterink; Alberto Redaelli (CoRR, 2025)

Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images. - Francesca Righetti; Giulia Rubiu; Marco Penso; Sara Moccia; Maria Ludovica Carerj; Mauro Pepi; Gianluca Pontone; Enrico G. Caiani (Medical Biol. Eng. Comput., 2025)