Francesca Lizzi
Orcid: 0000-0003-0900-0421
According to our database1,
Francesca Lizzi authored at least 19 papers
between 2019 and 2026.
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Bibliography
2026
Optimized U-Net Convolutional Autoencoder for Low-Dose CT Denoising: Technical Improvements and Clinical Validation.
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026
2025
Mach. Learn. Sci. Technol., 2025
Proceedings of the 4th International Conference on Hybrid Human-Artificial Intelligence, 2025
2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans.
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study.
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
Proceedings of the 3rd Workshop on Fairness and Bias in AI co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025
2024
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.
Brain Informatics, December, 2024
Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.
Comput. Methods Programs Biomed., 2024
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation.
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024
2023
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.
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.
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.
CoRR, 2021
Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans.
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.
ERCIM News, 2019
Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features.
Proceedings of the Computer Analysis of Images and Patterns, 2019
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019