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Raffaella Fiamma Cabini
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2020 – today
- 2024
- [j2]Leonardo Barzaghi
, Francesca Brero
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
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
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
A kinetic approach to consensus-based segmentation of biomedical images. CoRR abs/2211.05226 (2022) - 2021
- [c1]Francesca Lizzi, Francesca Brero, Raffaella Fiamma Cabini
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
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 2024-12-10 21:46 CET by the dblp team
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