Prof. Marius Staring
Professor at Leiden University Medical Center
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
Medical image analysis , Image registration , Machine learning , Deep learning
Profile Summary

Marius Staring is a professor of Machine Learning for Medical Imaging, and vice director of the Division of Image Processing (Dutch abbreviation LKEB), at the Leiden University Medical Center. He holds an MSc degree in Applied Mathematics from the University of Twente (2002), and a PhD degree from the UMC Utrecht (2008).

He and his team develop generic machine learning approaches for automated image analysis, and apply these in the clinical and life-sciences. He has worked on machine learning for disease classification and staging, for segmentation, image registration and uncertainty estimation. In collaboration with the Department of Radiotherapy and others he explores the area of adaptive radiation therapy (photon as well as proton, CT as well as MRI). Together with the MR physics group and Philips he has developed image reconstruction techniques using deep learning, currently available in Philips MRI scanners. Image registration is a focus point in his research, developing fast and robust methods that render this technique usable in a time-critical intra-operative setting.

Marius Staring is an Associate Editor of IEEE TMI, and a member of program committees of MICCAI, IEEE ISBI, SPIE MI and WBIR. He is a VENI laureate, and teaches students Technical Medicine on image processing. Open sourcing his methods has been a common theme in his career, exemplified by the image registration package Elastix, see
Publications (22)

Proceedings Article | 3 April 2023 Presentation + Paper
Proceedings Volume 12464, 1246408 (2023)
KEYWORDS: Transformers, Convolution, Data modeling, Image segmentation, Medical imaging, Education and training, Computed tomography, Prostate, 3D modeling, Surgery

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12032, 120320F (2022)
KEYWORDS: Radiotherapy, Machine learning, Bayesian inference, Quality testing methods, Image segmentation, Volume segmentation

Proceedings Article | 4 April 2022 Presentation + Paper
Yichao Li, Mohamed Elmahdy, Michael Lew, Marius Staring
Proceedings Volume 12033, 120333O (2022)
KEYWORDS: Prostate, Image segmentation, Bladder, Rectum, Radiotherapy, Computed tomography

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12033, 1203338 (2022)
KEYWORDS: Computed tomography, Lung, Neural networks, 3D scanning, Reliability, Visualization, Opacity, Glasses

Proceedings Article | 10 March 2020 Presentation + Paper
Proceedings Volume 11313, 113130R (2020)
KEYWORDS: Image registration, Magnetic resonance imaging, Breast, Medical imaging, Image enhancement, Infrared imaging, Image restoration, Image contrast enhancement, Cardiovascular magnetic resonance imaging, Quantitative analysis

Showing 5 of 22 publications
Conference Committee Involvement (11)
Image Processing
16 February 2025 | San Diego, California, United States
Image Processing
19 February 2024 | San Diego, California, United States
Image Processing
20 February 2023 | San Diego, California, United States
Image Processing
20 February 2022 | San Diego, California, United States
Image Processing
15 February 2021 | Online Only, California, United States
Showing 5 of 11 Conference Committees
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