Professor Medical Imaging
Prof. dr. ir. Marius Staring
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Introduction
I am professor Machine Learning for Medical Imaging at the department of Radiology, and vice director of the division of Image Processing (Dutch abbreviation LKEB). Furthermore I am an Associate Editor of IEEE Transactions on Medical Imaging, and a member of program committees of MICCAI, IEEE ISBI, SPIE Medical Imaging an WBIR.
I'm holding a Master of Science in Applied Mathematics from the University of Twente, and a PhD degree from the University Medical Center Utrecht. I defended my PhD thesis "Intrasubject Registration for Change Analysis in Medical Imaging” on October 9th 2008. I first joined the LUMC as a postdoctoral researcher an subsequently as assistant (2013), associate (2018) and full professor (2022). My inaugural lecture was held November 3rd 2023.
I'm holding a Master of Science in Applied Mathematics from the University of Twente, and a PhD degree from the University Medical Center Utrecht. I defended my PhD thesis "Intrasubject Registration for Change Analysis in Medical Imaging” on October 9th 2008. I first joined the LUMC as a postdoctoral researcher an subsequently as assistant (2013), associate (2018) and full professor (2022). My inaugural lecture was held November 3rd 2023.
Scientific research
In association with my team we have 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 an d Philips, we have created an MRI Reconstruction algorithm based on machine learning, that allow MR imaging in a third of the normal scan time, again reducing healthcare costs and relieving the patient.
