Francesca Lizzi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Networks

Boosted Classifiers

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders. Brain Informatics 11 (1) (2024)
Camilla Scapicchio, Elena Ballante, Francesca Brero, Raffaella Fiamma Cabini, Andrea Chincarini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesca Lizzi, Ian Postuma, Alessandra Retico
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. HEALTHINF (2023)
Francesca Lizzi, Alessandra Retico, Maria Evelina Fantacci
Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues. IMPROVE (2023)
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, Cinzia Talamonti, Alessandra Retico
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. Int. J. Comput. Assist. Radiol. Surg. 17 (2) (2022)
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, Cinzia Talamonti, Alessandra Retico
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. CoRR (2021)
Francesca Lizzi, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Alessandra Retico
Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans. DATA (2021)
Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk. ERCIM News 2019 (118) (2019)
Francesca Lizzi, Stefano Atzori, Giacomo Aringhieri, Paolo Bosco, Carolina Marini, Alessandra Retico, Antonio C. Traino, Davide Caramella, Maria Evelina Fantacci
Residual Convolutional Neural Networks for Breast Density Classification. BIOINFORMATICS (2019)
Francesca Lizzi, Francesco Laruina, Piernicola Oliva, Alessandra Retico, Maria Evelina Fantacci
Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features. CAIP Workshops (2019)