Quantitative Medical Image Analysis Group

Ivana Išgum
Ivana Išgum

Associate Professor
Group Leader

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 image processing and machine learning. We currently have two areas of application: automatic cardiovascular risk assessment in CT scans, and MRI-based analysis of the developing neonatal brain. We collaborate closely with researchers and radiologists from the Department of Radiology and Medical Genetics on determination of cardiovascular risk, and with neonatologists from the Department of Neonatology on analysis of the neonatal brain.


AuntMinnie Road to RSNA 2017: Artificial Intelligence Preview


Artificial intelligence is catching on at RSNA. On the “Road to RSNA 2017”, AuntMinnie gives a preview on artificial intelligence in medical imaging. Special interest is given to our work shown here, here, here and here. It’s going to be an exciting RSNA meeting. We hope to see you in Chicago!


New vacancy


We are looking for a PhD student on Deep learning for MRI-guided Radiotherapy. Details are available here.

New vacancies

We are looking for a PhD student and Scientific software engineer on deep learning in the analysis of cardiovascular images. For details please follow this and this links.