Welcome to the page of the Quantitative Medical Image Analysis (QIA) group at the Image Sciences Institute, UMC Utrecht.
My group is focusing on the development of algorithms for quantitative analysis of medical images to enable automatic patient risk profiling and prognosis using techniques from the fields of machine learning and deep learning. We collaborate closely with researchers from the Department of Radiology, Department of Neonatology and Department of Radiotherapy.
JACC: Cardiovascular Imaging published a nice editorial and tctMD an article on our recent paper on sex differences in arterial calcification in heavy smokers.
AuntMinnie reports about Robbert van Hamersvelt’s work on how deep learning can help diagnosing significant coronary artery disease.
We are honored that our paper Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutios by Nikolas Lessmann et al. entered AuntMinnie semifinals for the Scientific Paper of the Year. More details available here.
We are co-organizing a Special session on Image Analysis of the Developing Brain at IEEE ISBI on April 5, 2018 in Washington D.C. For details please follow this link.