Francesca Lizzi

19 papers C 1Journal 6Unranked 12
YearRankTypeTitle / Venue / Authors
2026 — conf
Optimized U-Net Convolutional Autoencoder for Low-Dose CT Denoising: Technical Improvements and Clinical Validation.
BIOSTEC (2)
Simone Damiani, Patrizio Barca, Marco Giannelli, Francesca Lizzi, Emanuele Neri, Alessandra Retico, Chiara Romei, Camilla Scapicchio, Maria Irene Tenerani, Antonio Traino, Arman Zafaranchi, Maria Evelina Fantacci
2025 — conf
2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans.
BIOSTEC (1)
Idriss Cabrel Tsewalo Tondji, Francesca Lizzi, Camilla Scapicchio, Alessandra Retico
2025 — conf
Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study.
BIOSTEC (1)
Simone Damiani, Manuela Imbriani, Francesca Lizzi, Mariagrazia Quattrocchi, Alessandra Retico, Sara Saponaro, Camilla Scapicchio, Alessandro Tofani, Arman Zafaranchi, Maria Irene Tenerani, Maria Evelina Fantacci
2025 J jnl
Generative super-resolution AI accelerates nanoscale analysis of cells.
Mach. Learn. Sci. Technol.
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
2025 — conf
How Do Doctors Perceive AI in Their Medical Practice?
HHAI
Laura Sartori, Chiara Binelli, Francesca Lizzi, Francesco Sensi, Alessandra Retico
2025 — conf
How do doctors perceive AI in their medical practice?
AEQUITAS@ECAI
Laura Sartori, Chiara Binelli, Francesca Lizzi, Andrea Chincarini, Francesco Sensi, Alessandra Retico
2025 — conf
Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study.
BIOSTEC (1)
Maria Irene Tenerani, Silvia Arezzini, Antonino Formuso, Francesca Lizzi, Enrico Mazzoni, Stefania Pallotta, Alessandra Retico, Camilla Scapicchio, Cinzia Talamonti, Maria Evelina Fantacci
2024 — conf
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data.
IWBBIO (2)
Francesca Lizzi, Francesca Brero, Maria Evelina Fantacci, Alessandro Lascialfari, Gianfranco Paternò, Ian Postuma, Piernicola Oliva, Camilla Scapicchio, Alessandra Retico
2024 J jnl
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.
Brain Informatics
Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico
2024 — conf
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation.
EXPLAINS
Arman Zafaranchi, Francesca Lizzi, Alessandra Retico, Camilla Scapicchio, Maria Evelina Fantacci
2024 J jnl
Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.
Comput. Methods Programs Biomed.
Leonardo Barzaghi, Francesca Brero, Raffaella Fiamma Cabini, Matteo Paoletti, Mauro Monforte, Francesca Lizzi, Francesco Santini, Xeni Deligianni, Niels Bergsland, Sabrina Ravaglia, Lorenzo Cavagna, Luca Diamanti, Chiara Bonizzoni, Alessandro Lascialfari, Silvia Figini, Enzo Ricci, Ian Postuma, Anna Pichiecchio
2023 — conf
Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues.
IMPROVE
Francesca Lizzi, Alessandra Retico, Maria Evelina Fantacci
2023 — conf
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report.
HEALTHINF
Camilla Scapicchio, Elena Ballante, Francesca Brero, Raffaella Fiamma Cabini, Andrea Chincarini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesca Lizzi, Ian Postuma, Alessandra Retico
2022 J jnl
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.
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
2021 C conf
Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans.
DATA
Francesca Lizzi, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Alessandra Retico
2021 J jnl
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
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
2019 J jnl
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk.
ERCIM News
Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva
2019 — conf
Residual Convolutional Neural Networks for Breast Density Classification.
BIOINFORMATICS
Francesca Lizzi, Stefano Atzori, Giacomo Aringhieri, Paolo Bosco, Carolina Marini, Alessandra Retico, Antonio C. Traino, Davide Caramella, Maria Evelina Fantacci
2019 — conf
Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features.
CAIP Workshops
Francesca Lizzi, Francesco Laruina, Piernicola Oliva, Alessandra Retico, Maria Evelina Fantacci