Acceptance Test of a Commercially Available Software for Automatic Image Registration of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) And 99mTc-methoxyisobutylisonitrile (MIBI) Single-Photon Emission Computed Tomography (SPECT) Brain Images. - Gianfranco Loi; Marco Dominietto; Irene Manfredda; Eleonora Mones; Alessandro Carriero; Eugenio Inglese; Marco Krengli; Marco Brambilla 002 (J. Digit. Imaging, 2008)

Power estimation for non-standardized multisite studies. - Anisha Keshavan; Friedemann Paul; Mona K. Beyer; Alyssa H. Zhu; Nico Papinutto; Russell T. Shinohara; William Stern; Michael Amann; Rohit Bakshi; Antje Bischof; Alessandro Carriero; Manuel Comabella; et al. (NeuroImage, 2016)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

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)

COVID-19 CT Scan Lung Segmentation: How We Do It. - Davide Negroni; Domenico Zagaria; Andrea Paladini; Zeno Falaschi; Anna Arcoraci; Michela Barini; Alessandro Carriero (J. Digit. Imaging, 2022)

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - Sushant Agarwal; Sanjay Saxena; Alessandro Carriero; Gian Luca Chabert; Gobinath Ravindran; Sudip Paul; John R. Laird; Deepak Garg 002; Mostafa Fatemi; Lopamudra Mohanty; Arun Kumar Dubey; Rajesh Singh; et al. (Frontiers Artif. Intell., 2024)