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Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study.

, , , , , and . EMBC, page 1-4. IEEE, (2023)

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A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics., , , , , , , and . SWH@ISWC, volume 2164 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles., , , , and . EMBC, page 2165-2168. IEEE, (2019)A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts., , , , , , , , and . EMBC, page 1666-1669. IEEE, (2021)A federated AI-empowered platform for disease management across a Pan-European data driven hub., , , , , and . BHI, page 1-4. IEEE, (2022)Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome., , , , , , and . EMBC, page 4089-4092. IEEE, (2018)Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms., , , , , , , , and . BIBE, page 1-4. IEEE, (2021)Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study., , , and . EMBC, page 1670-1673. IEEE, (2021)Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study., , , , , and . EMBC, page 1-4. IEEE, (2023)