Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Francesco Rundo, Marco Aldinucci, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci. An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. Artificial Intelligence in Medicine, 118:102114, 2021. [doi]
@article{PennisiKSSPSBRA21,
title = {An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans},
author = {Matteo Pennisi and Isaak Kavasidis and Concetto Spampinato and Vincenzo Schininà and Simone Palazzo and Federica Proietto Salanitri and Giovanni Bellitto and Francesco Rundo and Marco Aldinucci and Massimo Cristofaro and Paolo Campioni and Elisa Pianura and Federica Di Stefano and Ada Petrone and Fabrizio Albarello and Giuseppe Ippolito and Salvatore Cuzzocrea and Sabrina Conoci},
year = {2021},
doi = {10.1016/j.artmed.2021.102114},
url = {https://doi.org/10.1016/j.artmed.2021.102114},
researchr = {https://researchr.org/publication/PennisiKSSPSBRA21},
cites = {0},
citedby = {0},
journal = {Artificial Intelligence in Medicine},
volume = {118},
pages = {102114},
}