Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. - Luca Saba; Mohit Agarwal 003; Anubhav Patrick; Anudeep Puvvula; Suneet K. Gupta 001; Alessandro Carriero; John R. Laird; George D. Kitas; Amer M. Johri; Antonella Balestrieri; Zeno Falaschi; Alessio Pasche; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Alessandro Carriero; Zeno Falaschi; Alessio Pasche; Pietro Danna; Ayman El-Baz; D. Subbaram Naidu; Jasjit S. Suri (J. Medical Syst., 2021)

Integrative analysis for COVID-19 patient outcome prediction. - Hanqing Chao; Xi Fang 002; Jiajin Zhang; Fatemeh Homayounieh; Chiara Daniela Arru; Subba R. Digumarthy; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Luca Saba; Alessandro Carriero; Zeno Falaschi; et al. (Medical Image Anal., 2021)

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. - Mohit Agarwal 003; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet K. Gupta 001; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; et al. (Comput. Biol. Medicine, 2022)