Claudio Fabbri

A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging

Cristiana Corsi, Lorena Esposito, Davide Borra, 2018, STACOM@MICCAI.

A Semi-Automated Approach for the Quantification of the Left Ventricle Chamber Volumes From Cine Magnetic Resonance Images

Victor Mor-Avi, Cristiana Corsi, Amit R. Patel, 2018, 2018 Computing in Cardiology Conference (CinC).

Preliminary computational framework to map MRI-derived markers to predict response to cardiac resynchronization therapy

Stefano Severi, Martino Alessandrini, Cristiana Corsi, 2017, 2017 Computing in Cardiology (CinC).

Development of 3D patient-specific models for left atrium geometric characterization to support ablation in atrial fibrillation patients

Antonio Pasini, Cristiana Corsi, Dario Turco, 2016, 2016 Computing in Cardiology Conference (CinC).

An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging

Davide Borra, Cristiana Corsi, Alessandro Masci, 2019, 2019 Computing in Cardiology (CinC).

A nearly-automated approach for left ventricular segmentation using feature asymmetry from real-time 3D echocardiography

Cristiana Corsi, Claudio Fabbri, Simone Pertutti, 2015, 2015 Computing in Cardiology Conference (CinC).

A fully automated left atrium segmentation approach from late gadolinium enhanced magnetic resonance imaging based on a convolutional neural network.

Cristiana Corsi, Michelangelo Paci, Davide Borra, 2020, Quantitative imaging in medicine and surgery.

Quantification of Left Atrium Fibrosis From LGE MRI in Atrial Fibrillation

Cristiana Corsi, Maddalena Valinoti, Alessandro Masci, 2018, 2018 Computing in Cardiology Conference (CinC).

3D patient-specific models for left atrium characterization to support ablation in atrial fibrillation patients.

Cristiana Corsi, Dario Turco, Maddalena Valinoti, 2018, Magnetic resonance imaging.