Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome. - Vasileios C. Pezoulas; Themis P. Exarchos; Vassiliki Andronikou; Theodora A. Varvarigou; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (EMBC, 2018)

A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics. - Vasileios C. Pezoulas; Konstantina D. Kourou; Themis P. Exarchos; Vassiliki Andronikou; Theodora A. Varvarigou; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (SWH@ISWC, 2018)

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles. - Vasileios C. Pezoulas; Themis P. Exarchos; Athanasios G. Tzioufas; Salvatore de Vita; Dimitrios I. Fotiadis (EMBC, 2019)

Medical data quality assessment: On the development of an automated framework for medical data curation. - Vasileios C. Pezoulas; Konstantina D. Kourou; Fanis G. Kalatzis; Themis P. Exarchos; Aliki Venetsanopoulou; Evi Zampeli; Saviana Gandolfo; Fotini Skopouli; Salvatore de Vita; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (Comput. Biol. Medicine, 2019)

Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images. - Arso M. Vukicevic; Nenad Filipovic; Vera Milic; Alen Zabotti; Alojzija Hocevar; Orazio De Lucia; Georgios Filippou; Alejandro F. Frangi; Athanasios G. Tzioufas; Salvatore de Vita (IEEE J. Biomed. Health Informatics, 2020)

Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms. - Arso M. Vukicevic; Alen Zabotti; Vera Milic; Alojzija Hocevar; Orazio De Lucia; Georgios Filippou; Athanasios G. Tzioufas; Salvatore de Vita; Nenad Filipovic (BIBE, 2021)

Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study. - Vasileios C. Pezoulas; Themis P. Exarchos; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2021)

A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Luke Chatzis; Saviana Gandolfo; Andreas Goules; Salvatore de Vita; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2021)

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. - Vasileios C. Pezoulas; Grigoris I. Grigoriadis; George Gkois; Nikolaos S. Tachos; Tim Smole; Zoran Bosnic; Matej Piculin; Iacopo Olivotto; Fausto Barlocco; Marko Robnik-Sikonja; Djordje G. Jakovljevic; Andreas Goules; et al. (Comput. Biol. Medicine, 2021)

A federated AI-empowered platform for disease management across a Pan-European data driven hub. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Antreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (BHI, 2022)

Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study. - Vasileios C. Pezoulas; Themis P. Exarchos; Nikolaos S. Tachos; Andreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (EMBC, 2023)

FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. - Vasileios C. Pezoulas; Fanis G. Kalatzis; Themis P. Exarchos; Andreas Goules; Athanasios G. Tzioufas; Dimitrios I. Fotiadis (Patterns, 2024)