Niels R. van der Werf
Heidelberg University, Utrecht University, Philips (Netherlands)
Papers
3
Total Citations
28
H-Index
2
About
Niels R. van der Werf is a pioneering researcher in cardiovascular imaging, specializing in motion artifact correction and artificial intelligence applications for coronary artery disease detection. His work focuses on improving the accuracy of coronary calcium scoring and CT angiography through convolutional neural networks (CNNs) and advanced spectral imaging techniques. Van der Werf’s most impactful study, “Motion-corrected coronary calcium scores by a convolutional neural network” (22 citations), introduced a robotic simulation framework to validate AI-driven motion compensation, directly addressing a critical limitation in cardiac CT. He further advanced this field by classifying motion-contaminated calcified plaques and identifying key factors influencing CNN performance, as detailed in his 2021 work. His recent 2025 study on spectral dual-layer CT demonstrated that motion-compensated virtual monoenergetic imaging can achieve a 50% contrast dose reduction—a breakthrough for safer, more efficient coronary angiography. By combining robotic phantoms with deep learning, van der Werf has established a rigorous methodology for developing and testing motion-correction algorithms, bridging the gap between simulation and clinical translation. His contributions are vital for reducing false positives in coronary calcium scoring and enhancing diagnostic confidence in cardiac CT.
Research Focus
Key Achievements
Top Papers
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