Sanne van Velzen studied Medical Natural Sciences at the Free University in Amsterdam, a broad study that combines mathematics, chemistry and physics and applies it in the medical field. In 2016 she received her Master of Science degree in Medical Natural Sciences with the specialization in medical imaging.
Her master thesis focused on analysis of cardiac PET images of a newly developed tracer in nuclear imaging and on analysis of PET image reconstructions. Sanne joined the Quantitative Medical Image Analysis Group in September 2016, where she is working on Automated cardiovascular risk prediction in breast cancer patients undergoing radiotherapy treatment planning CT.
Papers in international journals
|1.||Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer. BMJ Open, 2019, vol. 9, nr. 7, pp. e028752.|
|2.||Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients. Radiotherapy and Oncology, 2018, vol. 127, nr. 3, pp. 487-492.|
Papers in conference proceedings
|1.||Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. In: SPIE Medical Imaging, 2019.|