LIZZI, FRANCESCA Statistiche
LIZZI, FRANCESCA
DIPARTIMENTO DI FISICA
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data
2024-01-01 Lizzi, Francesca; Brero, Francesca; Evelina Fantacci, Maria; Lascialfari, Alessandro; Paternò, Gianfranco; Postuma, Ian; Oliva, Piernicola; Scapicchio, Camilla; Retico, Alessandra
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
2024-01-01 Saponaro, Sara; Lizzi, Francesca; Serra, Giacomo; Mainas, Francesca; Oliva, Piernicola; Giuliano, Alessia; Calderoni, Sara; Retico, Alessandra
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation
2024-01-01 Zafaranchi, Arman; Lizzi, Francesca; Retico, Alessandra; Scapicchio, Camilla; Fantacci, Maria
Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study
2024-01-01 Scapicchio, C.; Imbriani, M.; Lizzi, F.; Quattrocchi, M.; Retico, A.; Saponaro, S.; Tenerani, M. I.; Tofani, A.; Zafaranchi, A.; Fantacci, M. E.
A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia
2023-01-01 Scapicchio, C.; Chincarini, A.; Ballante, E.; Berta, L.; Bicci, E.; Bortolotto, C.; Brero, F.; Cabini, R. F.; Cristofalo, G.; Fanni, S. C.; Fantacci, M. E.; Figini, S.; Galia, M.; Gemma, P.; Grassedonio, E.; Lascialfari, A.; Lenardi, C.; Lionetti, A.; Lizzi, F.; Marrale, M.; Midiri, M.; Nardi, C.; Oliva, P.; Perillo, N.; Postuma, I.; Preda, L.; Rastrelli, V.; Rizzetto, F.; Spina, N.; Talamonti, C.; Torresin, A.; Vanzulli, A.; Volpi, F.; Neri, E.; Retico, A.
COVID-19 SEVERITY PREDICTION BASED ON RADIOMIC FEATURES EXTRACTED FROM LUNG CT SCANS USING THE LUNGQUANT SEGMENTATION SOFTWARE
2023-01-01 Scapicchio, C.; Ballante, E.; Benfante, A.; Berta, L.; Bortolotto, C.; Brero, F.; Cabini, R. F.; Chincarini, A.; Cicolari, D.; Colombo, P. E.; Fanni, S. C.; Fantacci, M. E.; Figini, S.; Grassedonio, E.; La Fiura, A.; Lascialfari, A.; Lenardi, C.; Lionetti, A.; Lizzi, F.; Marrale, M.; Nardi, C.; Neri, E.; Postuma, I.; Preda, L.; Rizzetto, F.; Scichilone, N.; Spina, N.; Talamonti, C.; Torresin, A.; Ubaldi, L.; Vanzulli, A.; Zorzi, G.; Retico, A.
Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues
2023-01-01 Lizzi, Francesca; Retico, Alessandra; Fantacci, Maria
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report
2023-01-01 Scapicchio, Camilla; Ballante, Elena; Brero, Francesca; Cabini, Raffaella Fiamma; Chincarini, Andrea; Fantacci, Maria Evelina; Figini, Silvia; Lascialfari, Alessandro; Lizzi, Francesca; Postuma, Ian; Retico, Alessandra
Quantification of pulmonary involvement in COVID-19 pneumonia: an upgrade of the LungQuant software for lung CT segmentation
2023-01-01 Lizzi, Francesca; Postuma, Ian; Brero, Francesca; Cabini, Raffaella Fiamma; Fantacci, Maria Evelina; Lascialfari, Alessandro; Oliva, Piernicola; Rinaldi, Lisa; Retico, Alessandra
Convolutional neural networks for breast density classification: Performance and explanation insights
2022-01-01 Lizzi, F.; Scapicchio, C.; Laruina, F.; Retico, A.; Fantacci, M. E.
EXPLAINING THE BEHAVIOUR OF A CONVOLUTIONAL NEURAL NETWORK FOR BREAST DENSITY ASSESSMENT
2022-01-01 Scapicchio, Camilla; Retico, Alessandra; Lizzi, Francesca; Fantacci, Maria Evelina
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
2022-01-01 Lizzi, F.; Agosti, A.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Figini, S.; Lascialfari, A.; Laruina, F.; Oliva, P.; Piffer, S.; Postuma, I.; Rinaldi, L.; Talamonti, C.; Retico, A.
Breast density characterization through convolutional neural networks and first order statistical features
2021-01-01 Lizzi, F; Scapicchio, C; Laruina, F; Retico, A; Fantacci, Me
Explainability of a CNN for breast density assessment
2021-01-01 Scapicchio, C.; Lizzi, F.; Fantacci, M. E.
Making data big for a deep-learning analysis: Aggregation of public COVID-19 datasets of lung computed tomography scans
2021-01-01 Lizzi, F.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Piffer, S.; Postuma, I.; Rinaldi, L.; Retico, A.
A deep convolutional neural network for breast density assessment: Optimization and explainability.
2020-01-01 Scapicchio, C.; Lizzi, F.; Fantacci, M. E.
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk
2019-01-01 Lizzi, F; Fantacci, Me; Oliva, P
Residual convolutional neural networks for breast density classification
2019-01-01 Lizzi, Francesca; Atzori, Stefano; Aringhieri, G.; Bosco, P.; Marini, C.; Retico, A.; Traino, A. C.; Caramella, D.; Fantacci, M. E.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data | 1-gen-2024 | Lizzi, Francesca; Brero, Francesca; Evelina Fantacci, Maria; Lascialfari, Alessandro; Paternò, Gianfranco; Postuma, Ian; Oliva, Piernicola; Scapicchio, Camilla; Retico, Alessandra | |
| Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders | 1-gen-2024 | Saponaro, Sara; Lizzi, Francesca; Serra, Giacomo; Mainas, Francesca; Oliva, Piernicola; Giuliano, Alessia; Calderoni, Sara; Retico, Alessandra | |
| Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation | 1-gen-2024 | Zafaranchi, Arman; Lizzi, Francesca; Retico, Alessandra; Scapicchio, Camilla; Fantacci, Maria | |
| Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study | 1-gen-2024 | Scapicchio, C.; Imbriani, M.; Lizzi, F.; Quattrocchi, M.; Retico, A.; Saponaro, S.; Tenerani, M. I.; Tofani, A.; Zafaranchi, A.; Fantacci, M. E. | |
| A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia | 1-gen-2023 | Scapicchio, C.; Chincarini, A.; Ballante, E.; Berta, L.; Bicci, E.; Bortolotto, C.; Brero, F.; Cabini, R. F.; Cristofalo, G.; Fanni, S. C.; Fantacci, M. E.; Figini, S.; Galia, M.; Gemma, P.; Grassedonio, E.; Lascialfari, A.; Lenardi, C.; Lionetti, A.; Lizzi, F.; Marrale, M.; Midiri, M.; Nardi, C.; Oliva, P.; Perillo, N.; Postuma, I.; Preda, L.; Rastrelli, V.; Rizzetto, F.; Spina, N.; Talamonti, C.; Torresin, A.; Vanzulli, A.; Volpi, F.; Neri, E.; Retico, A. | |
| COVID-19 SEVERITY PREDICTION BASED ON RADIOMIC FEATURES EXTRACTED FROM LUNG CT SCANS USING THE LUNGQUANT SEGMENTATION SOFTWARE | 1-gen-2023 | Scapicchio, C.; Ballante, E.; Benfante, A.; Berta, L.; Bortolotto, C.; Brero, F.; Cabini, R. F.; Chincarini, A.; Cicolari, D.; Colombo, P. E.; Fanni, S. C.; Fantacci, M. E.; Figini, S.; Grassedonio, E.; La Fiura, A.; Lascialfari, A.; Lenardi, C.; Lionetti, A.; Lizzi, F.; Marrale, M.; Nardi, C.; Neri, E.; Postuma, I.; Preda, L.; Rizzetto, F.; Scichilone, N.; Spina, N.; Talamonti, C.; Torresin, A.; Ubaldi, L.; Vanzulli, A.; Zorzi, G.; Retico, A. | |
| Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues | 1-gen-2023 | Lizzi, Francesca; Retico, Alessandra; Fantacci, Maria | |
| Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report | 1-gen-2023 | Scapicchio, Camilla; Ballante, Elena; Brero, Francesca; Cabini, Raffaella Fiamma; Chincarini, Andrea; Fantacci, Maria Evelina; Figini, Silvia; Lascialfari, Alessandro; Lizzi, Francesca; Postuma, Ian; Retico, Alessandra | |
| Quantification of pulmonary involvement in COVID-19 pneumonia: an upgrade of the LungQuant software for lung CT segmentation | 1-gen-2023 | Lizzi, Francesca; Postuma, Ian; Brero, Francesca; Cabini, Raffaella Fiamma; Fantacci, Maria Evelina; Lascialfari, Alessandro; Oliva, Piernicola; Rinaldi, Lisa; Retico, Alessandra | |
| Convolutional neural networks for breast density classification: Performance and explanation insights | 1-gen-2022 | Lizzi, F.; Scapicchio, C.; Laruina, F.; Retico, A.; Fantacci, M. E. | |
| EXPLAINING THE BEHAVIOUR OF A CONVOLUTIONAL NEURAL NETWORK FOR BREAST DENSITY ASSESSMENT | 1-gen-2022 | Scapicchio, Camilla; Retico, Alessandra; Lizzi, Francesca; Fantacci, Maria Evelina | |
| 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 | 1-gen-2022 | Lizzi, F.; Agosti, A.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Figini, S.; Lascialfari, A.; Laruina, F.; Oliva, P.; Piffer, S.; Postuma, I.; Rinaldi, L.; Talamonti, C.; Retico, A. | |
| Breast density characterization through convolutional neural networks and first order statistical features | 1-gen-2021 | Lizzi, F; Scapicchio, C; Laruina, F; Retico, A; Fantacci, Me | |
| Explainability of a CNN for breast density assessment | 1-gen-2021 | Scapicchio, C.; Lizzi, F.; Fantacci, M. E. | |
| Making data big for a deep-learning analysis: Aggregation of public COVID-19 datasets of lung computed tomography scans | 1-gen-2021 | Lizzi, F.; Brero, F.; Cabini, R. F.; Fantacci, M. E.; Piffer, S.; Postuma, I.; Rinaldi, L.; Retico, A. | |
| A deep convolutional neural network for breast density assessment: Optimization and explainability. | 1-gen-2020 | Scapicchio, C.; Lizzi, F.; Fantacci, M. E. | |
| Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk | 1-gen-2019 | Lizzi, F; Fantacci, Me; Oliva, P | |
| Residual convolutional neural networks for breast density classification | 1-gen-2019 | Lizzi, Francesca; Atzori, Stefano; Aringhieri, G.; Bosco, P.; Marini, C.; Retico, A.; Traino, A. C.; Caramella, D.; Fantacci, M. E. |