Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans. - Francesca Lizzi; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Stefano Piffer; Ian Postuma; Lisa Rinaldi; Alessandra Retico (DATA, 2021)

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (CoRR, 2021)

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (Int. J. Comput. Assist. Radiol. Surg., 2022)

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models. - Matteo Ferrante; Lisa Rinaldi; Francesca Botta; Xiaobin Hu; Andreas Dolp; Marta Minotti; Francesca De Piano; Gianluigi Funicelli; Stefania Volpe; Federica Bellerba; Paolo De Marco; Sara Raimondi; et al. (CoRR, 2022)