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Publicaties

Cost-effectiveness of volume computed tomography in lung cancer screening: a cohort simulation based on nelson study outcomes

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

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability

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

Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population Health

Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening

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

Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks

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Pers/media

Coreline Soft highlights CAC research

Coreline AI Coronary Artery Calcium Solution Shows 99.2% Accuracy From a Population Study

Meet the EuroMinnies 2021 semifinal candidates

Expert Point of View: Matthijs Oudkerk, MD

Never overlook vascular nature of COVID-19, Oudkerk warns

December 25, 2017 (View All Issues)

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