Alessandro Lascialfari
Orcid: 0000-0002-1687-0436
According to our database1,
Alessandro Lascialfari
authored at least 7 papers
between 2020 and 2024.
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Bibliography
2024
Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.
Comput. Methods Programs Biomed., 2024
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024
2023
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
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.
Int. J. Comput. Assist. Radiol. Surg., 2022
2021
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, 2021
2020
A multicenter study on radiomic features from T<sub>2</sub>-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics.
CoRR, 2020