Vliegenthart, Rozemarijn

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

de Koning, H. J., van der Aalst, C. M., de Jong, P. A., Scholten, E. T., Nackaerts, K., Heuvelmans, M. A., Lammers, J.-W. J., Weenink, C., Yousaf-Khan, U., Horeweg, N., et al. (2020) · New England Journal of Medicine

Lung Cancer Diagnosis and TreatmentGlobal Cancer Incidence and Screening

Cited by 3,624

Lung cancer screening

Adams, S. J., Stone, E., Baldwin, D. R., Vliegenthart, R., Lee, P., & Fintelmann, F. J. (2023) · The Lancet

Lung Cancer Diagnosis and TreatmentGlobal Cancer Incidence and Screening

Cited by 467

Evaluation of Newer Risk Markers for Coronary Heart Disease Risk Classification: A Cohort Study

Kavousi, M., Elias-Smale, S., Rutten, J. H. W., Leening, M. J. G., Vliegenthart, R., Verwoert, G. C., Krestin, G. P., Oudkerk, M., de Maat, M. P. M., Leebeek, F. W. G., et al. (2012) · Annals of Internal Medicine

Lipoproteins and Cardiovascular HealthHealth Promotion and Cardiovascular Prevention

Cited by 360

Coronary calcification detected by electron-beam computed tomography and myocardial infarction. The Rotterdam Coronary Calcification Study

Vliegenthart, R. (2002) · European Heart Journal

Cardiac Imaging and DiagnosticsHealthcare Systems and Public Health

Cited by 144

Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: Results of the NELSON study

Takx, R. A. P., Išgum, I., Willemink, M. J., van der Graaf, Y., de Koning, H. J., Vliegenthart, R., Oudkerk, M., Leiner, T., & de Jong, P. A. (2015) · Journal of Cardiovascular Computed Tomography

Cardiac Imaging and DiagnosticsLung Cancer Diagnosis and Treatment

Cited by 75

Lung cancer occurrence attributable to passive smoking among never smokers in China: a systematic review and meta-analysis

Du, Y., Cui, X., Sidorenkov, G., Groen, H. J. M., Vliegenthart, R., Heuvelmans, M. A., Liu, S., Oudkerk, M., & de Bock, G. H. (2020) · Translational Lung Cancer Research

Smoking Behavior and CessationOccupational and environmental lung diseases

Cited by 73

Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA

Mastrodicasa, D., van Assen, M., Huisman, M., Leiner, T., Williamson, E. E., Nicol, E. D., Allen, B. D., Saba, L., Vliegenthart, R., & Hanneman, K. (2025) · Radiology

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

Cited by 69

Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges

Weikert, T., Francone, M., Abbara, S., Baessler, B., Choi, B. W., Gutberlet, M., Hecht, E. M., Loewe, C., Mousseaux, E., Natale, L., et al. (2021) · European Radiology

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

Cited by 34

Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I

Naghavi, M., Azimi, A., Atlas, K., Reeves, A. P., Zhang, C., Mirjalili, S. R., Mozafarybazargany, M., Jolfayi, A. G., Hashemi, A., Atlas, T., et al. (2026) · American Journal of Preventive Cardiology

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 2