Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

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)

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)