| 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 H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE Transactions on Technology and Society 3 (4), 272-289, 2022 | 27 | 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 F Lizzi, A Agosti, F Brero, RF Cabini, ME Fantacci, S Figini, A Lascialfari, ... International Journal of Computer Assisted Radiology and Surgery, 2021 | 23 | 2021 |
| Convolutional neural networks for breast density classification: performance and explanation insights F Lizzi, C Scapicchio, F Laruina, A Retico, ME Fantacci Applied Sciences 12 (1), 148, 2021 | 14 | 2021 |
| A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia C Scapicchio, A Chincarini, E Ballante, L Berta, E Bicci, C Bortolotto, ... European Radiology Experimental 7 (1), 18, 2023 | 11 | 2023 |
| Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders S Saponaro, F Lizzi, G Serra, F Mainas, P Oliva, A Giuliano, S Calderoni, ... Brain Informatics 11 (1), 2, 2024 | 9 | 2024 |
| Residual Convolutional Neural Networks for Breast Density Classification. F Lizzi, S Atzori, G Aringhieri, P Bosco, C Marini, A Retico, AC Traino, ... BIOINFORMATICS, 258-263, 2019 | 8 | 2019 |
| Residual convolutional neural networks to automatically extract significant breast density features F Lizzi, F Laruina, P Oliva, A Retico, ME Fantacci Computer Analysis of Images and Patterns: CAIP 2019 International Workshops …, 2019 | 8 | 2019 |
| Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans F Lizzi, F Brero, R Cabini, M Fantacci, S Piffer, I Postuma, L Rinaldi, ... Proceedings of the 10th International Conference on Data Science, Technology …, 2021 | 6 | 2021 |
| Quantification of pulmonary involvement in COVID-19 pneumonia: an upgrade of the LungQuant software for lung CT segmentation F Lizzi, I Postuma, F Brero, RF Cabini, ME Fantacci, A Lascialfari, P Oliva, ... The European Physical Journal Plus 138 (4), 1-10, 2023 | 5 | 2023 |
| Explainability of a CNN for breast density assessment C Scapicchio, F Lizzi, ME Fantacci Nuovo Cimento, 1-4, 2021 | 3 | 2021 |
| EXPLAINING THE BEHAVIOUR OF A CONVOLUTIONAL NEURAL NETWORK FOR BREAST DENSITY ASSESSMENT C Scapicchio, F Lizzi, A Retico, ME Fantacci European Conference of Medical Physics, 2022 | 1 | 2022 |
| Beyond Breast Density Classification: Future Perspectives F Lizzi European Society of Radiology, 1-5, 2019 | 1 | 2019 |
| Deep learning methods for 2D in-vivo dose reconstruction with EPID detector L Marini, M Avanzo, AC Kraan, F Lizzi, C Mozzi, A Retico, C Talamonti Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2024 | | 2024 |
| Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders L Barzaghi, F Brero, RF Cabini, M Paoletti, M Monforte, F Lizzi, F Santini, ... Computer Methods and Programs in Biomedicine 256, 108399, 2024 | | 2024 |
| PP02. 11 DOSIOMIC STUDY ON SOFT-TISSUE-SARCOMA TO PREDICT DISTANT METASTASIS L Ubaldi, S Piffer, M Loi, D Greto, F Lizzi, A Retico, C Talamonti Physica Medica 125, 103595, 2024 | | 2024 |
| PP07. 10 IN-VIVO DOSE RECONSTRUCTION WITH EPID DETECTORS BY DEEP LEARNING L Marini, C Mozzi, A Kraan, F Lizzi, I Meattini, A Retico, C Talamonti Physica Medica 125, 103684, 2024 | | 2024 |
| A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data F Lizzi, F Brero, M Evelina Fantacci, A Lascialfari, G Paternò, I Postuma, ... International Work-Conference on Bioinformatics and Biomedical Engineering …, 2024 | | 2024 |
| Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study C Scapicchio, M Imbriani, F Lizzi, M Quattrocchi, A Retico, S Saponaro, ... Biomedical Physics & Engineering Express 10 (4), 045006, 2024 | | 2024 |
| Sviluppo di un modello di intelligenza artificiale generativa per immagini di microscopia a super-risoluzione. S Lossano, S Arezzini, F Cella Zanacchi, ME Fantacci, A Formuso, F Lizzi, ... Atti del 110 Congresso Nazionale della Società Italiana di Fisica, 82-82, 2024 | | 2024 |
| Radiomic features characterization of CT images using the RadiomiK phantom. MI Tenerani, M Imbriani, F Lizzi, S Pallotta, M Quattrocchi, A Retico, ... Atti del 110 Congresso Nazionale della Società Italiana di Fisica, 319-319, 2024 | | 2024 |