Francesca Lizzi

发表

Beyond Breast Density Classification : Future Perspectives

Francesca Lizzi, 2019 .

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

Francesca Lizzi, Piernicola Oliva, Maria Evelina Fantacci, 2019, ERCIM News.

Increasing toxicity of enrofloxacin over four generations of Daphnia magna.

M. Dalla Bona, Francesca Lizzi, M. De Liguoro, 2016, Ecotoxicology and environmental safety.

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Lau Bee Theng, Pedro A. Moreno-Sanchez, Jesmin Jahan Tithi, 2022, IEEE Transactions on Technology and Society.

Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans

Francesca Lizzi, Stefano Piffer, Maria Evelina Fantacci, 2021, DATA.

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

Cinzia Talamonti, Francesca Lizzi, Francesco Laruina, 2021, International Journal of Computer Assisted Radiology and Surgery.

Computer Analysis of Images and Patterns: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings

Francesca Lizzi, Francesco Laruina, Piernicola Oliva, 2019, CAIP Workshops.

A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

A. Chincarini, S. Figini, C. Lenardi, 2023, European Radiology Experimental.

Convolutional Neural Networks for Breast Density Classification: Performance and Explanation Insights

M. Fantacci, A. Retico, Francesca Lizzi, 2021, Applied Sciences.

Convolutional Neural Networks for mammogram classification in BIRADS standard: development and preliminary tests

Davide Caramella, Francesca Lizzi, Maria Evelina Fantacci, 2018 .

Quantification of pulmonary involvement in COVID-19 pneumonia: an upgrade of the LungQuant software for lung CT segmentation

M. Fantacci, A. Retico, P. Oliva, 2023, The European Physical Journal Plus.

DeLTA-BIT: an open-source probabilistic tractography-based deep learning framework for thalamic targeting in functional neurological disorders

C. Gagliardo, G. Collura, Francesca Lizzi, 2023, 2312.15462.

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

A. Chincarini, M. Fantacci, A. Retico, 2023, HEALTHINF.

Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features

Francesca Lizzi, Francesco Laruina, Piernicola Oliva, 2019, CAIP Workshops.

Residual Convolutional Neural Networks for Breast Density Classification

Davide Caramella, Francesca Lizzi, Maria Evelina Fantacci, 2019, BIOINFORMATICS.

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

P. Oliva, S. Calderoni, A. Giuliano, 2024, Brain Informatics.