POSITION
We are seeking a highly motivated and talented postdoc to focus on the development and evaluation of AI-based methods for automatic coronary calcium quantification in contrast-enhanced CT scans that visualize the heart.
Ischemic heart disease due to coronary artery atherosclerosis is the leading cause of death worldwide. Calcifications in the coronary arteries indicate the presence of (subclinical) coronary artery disease and their amount is recognized as a strong and independent predictor of heart infarction. Therefore, major guidelines recommend coronary calcium quantification in all CT scans that visualize the heart.
Given that calcifications are best visible in CT scans without intravenous contrast enhancements, calcium quantification is performed on non-contrast enhanced images. Consequently, the development of automatic methods for calcium scoring in diverse CT scans without contrast has received a lot of attention. However, most CT-scans in routine clinical practice are performed with the use of intravenous contrast material, which hampers precise visualization of the calcifications. Yet, these images enable determining risk of cardiovascular disease.
Your main tasks and responsibilities are:
You have a PhD degree in medical image analysis. You have a good scientific background, are highly motivated and independent, and are able to work in an interdisciplinary team of medical doctors and engineers. Good programming skills, particularly in Python and ML-related libraries, are required. Furthermore, you are highly motivated to pursue academic research and you are fluent in English, both written and spoken.
For more information please visit https://werkenbij.amsterdamumc.org/en/vacatures/research/postdoc-in-ai-for-cardiovascular-disease-risk-assessment