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Publicaties

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

An optimized D-dimer cut-off value to predict pulmonary thromboembolism in COVID-19 patients

Contextualizing the Role of Volumetric Analysis in Pulmonary Nodule Assessment: AJR Expert Panel Narrative Review

CT-based emphysema characterization per lobe: A proof of concept

Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer

Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients

Developing a pan-European technical standard for a comprehensive high-quality lung cancer computed tomography screening programme: an ERS technical standard

Follow-up regimen after lung cancer treatment: about the how and why

Influenza season influence on outcome of new nodules in the NELSON study

Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

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