Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Vital Signs Prediction for COVID-19 Patients in ICU. - Ahmed Youssef Ali Amer; Femke Wouters; Julie Vranken; Pauline Dreesen; Dianne de Korte-de Boer; Frank van Rosmalen; Bas C. T. van Bussel; Valérie Smit-Fun; Patrick Duflot; Julien Guiot; Iwan C. C. van der Horst; Dieter Mesotten; et al. (Sensors, 2021)

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. - Yang Nan 002; Javier Del Ser; Simon Walsh; Carola Schönlieb; Michael Roberts; Ian Selby; Kit Howard; John Owen; Jon Neville; Julien Guiot; Benoit Ernst; Ana Pastor; et al. (Inf. Fusion, 2022)

Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. - Ine Dirks; Matías Nicolás Bossa; Abel Díaz Berenguer; Tanmoy Mukherjee; Hichem Sahli; Nikos Deligiannis; Emma Verelst; Bart Ilsen; Simon Van Eyndhoven; Lucie Seyler; Arne Witdouck; Gilles Darcis; et al. (BMC Medical Informatics Decis. Mak., 2025)