29 results on '"Heuvelmans, Marjolein A."'
Search Results
2. Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules
3. CT-based emphysema characterization per lobe: A proof of concept
4. Thoracic CT follow-up after non-small-cell lung cancer resection
5. CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study
6. Lung cancer screening with low-dose CT: Simulating the effect of starting screening at a younger age in women
7. Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification
8. Cost-effectiveness of lung cancer screening by low-dose CT in China: a micro-simulation study
9. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program
10. Pre-admission anticoagulant therapy and mortality in hospitalized COVID-19 patients: A retrospective cohort study
11. Lung cancer prediction by Deep Learning to identify benign lung nodules
12. Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study
13. Cost-effectiveness of lung cancer screening with low-dose computed tomography in heavy smokers: a microsimulation modelling study
14. Supplementary data for a model-based health economic evaluation on lung cancer screening with low-dose computed tomography in a high-risk population
15. Optimization of CT windowing for diagnosing invasiveness of adenocarcinoma presenting as sub-solid nodules
16. A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma
17. New Fissure-Attached Nodules in Lung Cancer Screening: A Brief Report From The NELSON Study
18. Deep learning to stratify lung nodules on annual follow-up CT
19. Relationship between the number of new nodules and lung cancer probability in incidence screening rounds of CT lung cancer screening: The NELSON study
20. New Subsolid Pulmonary Nodules in Lung Cancer Screening: The NELSON Trial
21. Low-dose CT for lung cancer screening – Authors' reply
22. European position statement on lung cancer screening
23. Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study
24. Quantification of growth patterns of screen-detected lung cancers: The NELSON study
25. MA01.07 Influence of Nodule Morphology on Inter-Reader Variability of Volume and Diameter Measurements in CT Lung Cancer Screening
26. P1.03-042 Nodule Size is Poorly Represented by Nodule Diameter in Low-Dose CT Lung Cancer Screening
27. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial
28. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening
29. Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers
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