Nieman, Koen

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 534

Deep learning evaluation of biomarkers from echocardiogram videos

Hughes, J. W., Yuan, N., He, B., Ouyang, J., Ebinger, J., Botting, P., Lee, J., Theurer, J., Tooley, J. E., Nieman, K., et al. (2021) · EBioMedicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 71

Increased Aortic Valve Calcification in Familial Hypercholesterolemia

ten Kate, G.-J. R., Bos, S., Dedic, A., Neefjes, L. A., Kurata, A., Langendonk, J. G., Liem, A., Moelker, A., Krestin, G. P., de Feyter, P. J., et al. (2015) · Journal of the American College of Cardiology

Lipoproteins and Cardiovascular HealthCardiac Valve Diseases and Treatments

Cited by 65

Partial anomalous pulmonary venous return in Turner syndrome

van den Hoven, A. T., Chelu, R. G., Duijnhouwer, A. L., Demulier, L., Devos, D., Nieman, K., Witsenburg, M., van den Bosch, A. E., loeys, B. L., van Hagen, I. M., et al. (2017) · European Journal of Radiology

Congenital Heart Disease StudiesVascular anomalies and interventions

Cited by 32

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