Skip to ContentSkip to Navigation
About us Practical matters How to find us dr. M.A. Heuvelmans

Publications

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

Read more