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Raffaella Fiamma Cabini
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2020 – today
- 2024
- [j2]Leonardo Barzaghi, Francesca Brero, Raffaella Fiamma Cabini, Matteo Paoletti, Mauro Monforte, Francesca Lizzi, Francesco Santini, Xeni Deligianni, Niels Bergsland, Sabrina Ravaglia, Lorenzo Cavagna, Luca Diamanti, Chiara Bonizzoni, Alessandro Lascialfari, Silvia Figini, Enzo Ricci, Ian Postuma, Anna Pichiecchio:
Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. Comput. Methods Programs Biomed. 256: 108399 (2024) - [i3]Mariaclaudia Nicolai, Raffaella Fiamma Cabini, Diego Ulisse Pizzagalli:
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks. CoRR abs/2409.18832 (2024) - 2023
- [c2]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 - 2022
- [j1]Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesco Laruina, Piernicola Oliva, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Cinzia Talamonti, Alessandra Retico:
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. 17(2): 229-237 (2022) - [i2]Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari, Silvia Figini, Mattia Zanella:
A kinetic approach to consensus-based segmentation of biomedical images. CoRR abs/2211.05226 (2022) - 2021
- [c1]Francesca Lizzi, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Alessandra Retico:
Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans. DATA 2021: 316-321 - [i1]Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesco Laruina, Piernicola Oliva, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Cinzia Talamonti, Alessandra Retico:
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 abs/2105.02566 (2021)
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last updated on 2024-10-18 19:32 CEST by the dblp team
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