Francesca Lizzi

According to our database, Francesca Lizzi authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.

Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico

Brain Informatics, December, 2024

2023

Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues.

Francesca Lizzi, Alessandra Retico, Maria Evelina Fantacci

Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report.

Camilla Scapicchio, Elena Ballante, Francesca Brero, Raffaella Fiamma Cabini, Andrea Chincarini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesca Lizzi, Ian Postuma, Alessandra Retico

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

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, Cinzia Talamonti, Alessandra Retico

Int. J. Comput. Assist. Radiol. Surg., 2022

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, Cinzia Talamonti, Alessandra Retico

CoRR, 2021

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

Proceedings of the 10th International Conference on Data Science, 2021

2019

Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk.

Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva

ERCIM News, 2019

Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features.

Francesca Lizzi, Francesco Laruina, Piernicola Oliva, Alessandra Retico, Maria Evelina Fantacci

Proceedings of the Computer Analysis of Images and Patterns, 2019

Residual Convolutional Neural Networks for Breast Density Classification.

Francesca Lizzi, Stefano Atzori, Giacomo Aringhieri, Paolo Bosco, Carolina Marini, Alessandra Retico, Antonio C. Traino, Davide Caramella, Maria Evelina Fantacci

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019