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Publicaties

Exploring the applicability of machine learning based artificial intelligence in the analysis of cardiovascular imaging

Author Correction: The power of genetic diversity in genome-wide association studies of lipids (Nature, (2021), 600, 7890, (675-679), 10.1038/s41586-021-04064-3)

Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease

Hybridizing machine learning in survival analysis of cardiac PET/CT imaging

Multi-Omic Factor Analysis uncovers immunological signatures with pathophysiologic and clinical implications in coronary syndromes

Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model

Single-cell dissection of the immune response after acute myocardial infarction

A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Artificial intelligence for the vasculome

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies

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