Salvatore de Vita
According to our database1,
Salvatore de Vita
authored at least 9 papers
between 2017 and 2021.
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Bibliography
2021
Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images.
Comput. Biol. Medicine, 2021
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images.
IEEE J. Biomed. Health Informatics, 2020
2019
Medical data quality assessment: On the development of an automated framework for medical data curation.
Comput. Biol. Medicine, 2019
Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics.
Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018
Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images.
Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2017