Marius Staring is professor of Machine Learning for Medical Imaging at the Department of Radiology, Leiden University Medical Center (LUMC), and vice director of the Division of Image Processing (Dutch abbreviation LKEB). He is an Associate Editor of IEEE Transactions on Medical Imaging, and a member of program committees of MICCAI, IEEE ISBI, SPIE Medical Imaging and WBIR.

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Marius Staring is professor of Machine Learning for Medical Imaging at the Department of Radiology, Leiden University Medical Center (LUMC), and vice director of the Division of Image Processing (Dutch abbreviation LKEB). He is an Associate Editor of IEEE Transactions on Medical Imaging, and a member of program committees of MICCAI, IEEE ISBI, SPIE Medical Imaging and WBIR.

Medical Imaging

Modern Medicine is increasingly driven by information and data, from which medical images such as CT and MRI are an important component: it enables to see what is otherwise hidden. Radiologists and other doctors analyze the available data to be able to make a diagnosis, provide the patient with a prognosis, or to guide a treatment. Computers and notably Machine Learning methods excel in such analysis, and can quantify what is currently still qualitative or subjective. Moreover, they can do so at a low cost and at a scale not possible by humans, and are therefore crucial to restrain the growing healthcare costs of our aging society. The goal of this chair is to develop innovative machine learning solutions for complex medical imaging challenges, that allow for a cost-effective and high quality healthcare.

Marius Staring and his team have for example created machine learning tools to automatically annotate the tumor and organs-at-risk on CT images. These are used to guide the dose deposition in radiotherapy, and is currently a time-consuming and expensive process. As a second example, in collaboration with MR physicists and Philips, they have created an MRI reconstruction algorithm based on machine learning, that allows MR imaging in a third of the normal scan time, again reducing healthcare costs and relieving the patient.

Academic career

Marius Staring holds a Master of Science in Applied Mathematics from the University of Twente, and a PhD degree from the University Medical Center Utrecht. He defended his PhD thesis “Intrasubject Registration for Change Analysis in Medical Imaging” on October 9 2008. He then joined LUMC first as a postdoctoral researcher and subsequently as assistant (2013), associate (2018) and full professor (2022). His inaugural lecture was held November 3rd 2023.