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2020 – today
- 2025
[j1]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:
Generative super-resolution AI accelerates nanoscale analysis of cells. Mach. Learn. Sci. Technol. 6(2): 25001 (2025)- [c7]Simone Damiani, Manuela Imbriani, Francesca Lizzi, Mariagrazia Quattrocchi, Alessandra Retico, Sara Saponaro, Camilla Scapicchio, Alessandro Tofani, Arman Zafaranchi, Maria Irene Tenerani, Maria Evelina Fantacci:
Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study. BIOSTEC (1) 2025: 376-385 - [c6]Maria Irene Tenerani, Silvia Arezzini, Antonino Formuso, Francesca Lizzi, Enrico Mazzoni, Stefania Pallotta, Alessandra Retico, Camilla Scapicchio, Cinzia Talamonti, Maria Evelina Fantacci:
Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study. BIOSTEC (1) 2025: 403-412 - [c5]Idriss Cabrel Tsewalo Tondji, Francesca Lizzi, Camilla Scapicchio, Alessandra Retico:
2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans. BIOSTEC (1) 2025: 669-675 - 2024
- [c4]Camilla Scapicchio, Silvia Arezzini, Maria Evelina Fantacci, Antonino Formuso, Aafke Christine Kraan, Enrico Mazzoni, Sara Saponaro, Maria Irene Tenerani, Alessandra Retico:
Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research. DATA 2024: 551-558 - [c3]Arman Zafaranchi, Francesca Lizzi, Alessandra Retico, Camilla Scapicchio, Maria Evelina Fantacci:
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation. EXPLAINS 2024: 132-138 - [c2]Francesca Lizzi, Francesca Brero, Maria Evelina Fantacci, Alessandro Lascialfari, Gianfranco Paternò, Ian Postuma, Piernicola Oliva, Camilla Scapicchio, Alessandra Retico:
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data. IWBBIO (2) 2024: 237-248 - 2023
- [c1]Camilla Scapicchio, Elena Ballante, Francesca Brero, Raffaella Fiamma Cabini, Andrea Chincarini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesca Lizzi, Ian Postuma, Alessandra Retico:
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. HEALTHINF 2023: 663-670
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