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 (BIOINFORMATICS, 2019)

Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features. - Francesca Lizzi; Francesco Laruina; Piernicola Oliva; Alessandra Retico; Maria Evelina Fantacci (CAIP Workshops, 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)

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)

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 (HEALTHINF, 2023)

Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues. - Francesca Lizzi; Alessandra Retico; Maria Evelina Fantacci (IMPROVE, 2023)

Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation. - Arman Zafaranchi; Francesca Lizzi; Alessandra Retico; Camilla Scapicchio; Maria Evelina Fantacci (EXPLAINS, 2024)

A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data. - Francesca Lizzi; Francesca Brero; Maria Evelina Fantacci; Alessandro Lascialfari; Gianfranco Paternò; Ian Postuma; Piernicola Oliva; Camilla Scapicchio; Alessandra Retico (IWBBIO (2), 2024)

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. - Leonardo Barzaghi; Francesca Brero; Raffaella Fiamma Cabini; Matteo Paoletti; Mauro Monforte; Francesca Lizzi; Francesco Santini 002; Xeni Deligianni; Niels Bergsland; Sabrina Ravaglia; Lorenzo Cavagna; Luca Diamanti; et al. (Comput. Methods Programs Biomed., 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, 2024)

Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study. - Simone Damiani; Manuela Imbriani; Francesca Lizzi; Mariagrazia Quattrocchi; Alessandra Retico; Sara Saponaro; Camilla Scapicchio; Alessandro Tofani; Arman Zafaranchi; Maria Irene Tenerani; Maria Evelina Fantacci (BIOSTEC (1), 2025)

Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study. - Maria Irene Tenerani; Silvia Arezzini; Antonino Formuso; Francesca Lizzi; Enrico Mazzoni; Stefania Pallotta; Alessandra Retico; Camilla Scapicchio; Cinzia Talamonti; Maria Evelina Fantacci (BIOSTEC (1), 2025)

2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans. - Idriss Cabrel Tsewalo Tondji; Francesca Lizzi; Camilla Scapicchio; Alessandra Retico (BIOSTEC (1), 2025)

Generative super-resolution AI accelerates nanoscale analysis of cells. - Simone Lossano; Simone Capaccioli; Francesca Cella Zanacchi; Eleonora Da Pozzo; Francesca Del Debbio; Maria Evelina Fantacci; Francesca Lizzi; Raffaella Magrassi; Benedetta Noferi; Dario Pisignano; Camilla Scapicchio; Alessandra Retico (Mach. Learn. Sci. Technol., 2025)