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LIZZI, FRANCESCA  

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Breast density characterization through convolutional neural networks and first order statistical features 1-gen-2021 Lizzi, F; Scapicchio, C; Laruina, F; Retico, A; Fantacci, Me
Convolutional neural networks for breast density classification: Performance and explanation insights 1-gen-2021 Lizzi, F.; Scapicchio, C.; Laruina, F.; Retico, A.; Fantacci, M. E.
A deep convolutional neural network for breast density assessment: Optimization and explainability. 1-gen-2020 Scapicchio, C.; Lizzi, F.; Fantacci, M. E.
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk 1-gen-2019 Lizzi, F; Fantacci, Me; Oliva, P
Explainability of a CNN for breast density assessment 1-gen-2021 Scapicchio, C.; Lizzi, F.; Fantacci, M. E.
Making data big for a deep-learning analysis: Aggregation of public COVID-19 datasets of lung computed tomography scans 1-gen-2021 Lizzi, F.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Piffer, S.; Postuma, I.; Rinaldi, L.; Retico, A.
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 1-gen-2021 Lizzi, F.; Agosti, A.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Figini, S.; Lascialfari, A.; Laruina, F.; Oliva, P.; Piffer, S.; Postuma, I.; Rinaldi, L.; Talamonti, C.; Retico, A.
Residual convolutional neural networks for breast density classification 1-gen-2019 Lizzi, Francesca; Atzori, Stefano; Aringhieri, G.; Bosco, P.; Marini, C.; Retico, A.; Traino, A. C.; Caramella, D.; Fantacci, M. E.