Marius Staring
Professor at TU Delft
Leiden, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMarius Staring is a professor of Machine Learning for Medical Imaging with over 20 years of experience developing robust, clinically driven image analysis methods, particularly in registration, segmentation, uncertainty estimation and adaptive radiotherapy. He leads translational research at Leiden University Medical Center and has a track record of turning academic advances into deployed technology, including deep-learning MRI reconstruction integrated into Philips scanners. His open-source orientation is exemplified by Elastix and contributions to the widely used ITK toolkit, where he fixed core coordinate/typing issues to improve reliability across scientific imaging pipelines. A VENI laureate and IEEE TMI associate editor, he bridges physics, clinical teams and industry to make time-critical, intra-operative imaging methods practical. He also teaches Technical Medicine and maintains an active collaborative role as a visiting scientist at TU Delft, reflecting a blend of mentorship, engineering rigor and applied impact.
21 years of coding experience
14 years of employment as a software developer
MSc, Applied Mathematics, MSc, Applied Mathematics at University of TwentePhD, Medical Image Registration, PhD, Medical Image Registration at Utrecht UniversityOSG Nieuwediep
English, German, Dutch
Github Skills (6)
itk10
image-analysis10
medical-imaging10
c-language10
cprogramming-language10
open-source9
Programming languages (4)
Github contributions (5)
InsightSoftwareConsortium/ITK
May 2008 - Feb 2015
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 commits, 2 comments in 6 years 9 months
Contributions summary:Marius primarily focused on fixing bugs and enhancing the consistency of coordinate representation types across the ITK toolkit. Their contributions involved modifying core image function headers and implementation files. They also addressed issues related to template arguments and type macros within the codebase. Moreover, the user worked on resolving compile warnings and ensuring the correct use of casts within the ITK library.
pythonitkcomputer-visionopen-sciencescientific
mstaring/elastix
May 2017 - Mar 2019
Fork of the official elastix repository
Contributions:25 pushes, 2 branches in 1 year 9 months
elastixelasticsearch
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