Marius Staring

11.6k total citations · 2 hit papers
109 papers, 6.7k citations indexed

About

Marius Staring is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marius Staring has authored 109 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 56 papers in Computer Vision and Pattern Recognition and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marius Staring's work include Medical Image Segmentation Techniques (49 papers), Medical Imaging Techniques and Applications (39 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Marius Staring is often cited by papers focused on Medical Image Segmentation Techniques (49 papers), Medical Imaging Techniques and Applications (39 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Marius Staring collaborates with scholars based in Netherlands, United States and China. Marius Staring's co-authors include Stefan Klein, Josien P. W. Pluim, Max A. Viergever, Keelin Murphy, Ivana Išgum, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Hessam Sokooti, Bram van Ginneken and Bob D. de Vos and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Marius Staring

105 papers receiving 6.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

elastix: A Toolbox for Intensity-Based Medical Image Registration

2009 3.0k citations Stefan Klein, Marius Staring et al. IEEE Transactions on Medical Imaging profile →
A deep learning framework for unsupervised affine and deformable image registration

2018 492 citations Floris F. Berendsen, Max A. Viergever et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marius Staring	3.4k	2.6k	1.5k	967	752	109	6.7k
Stefan Klein	4.5k 1.3×	2.5k 1.0×	1.9k 1.2×	1.3k 1.3×	698 0.9×	253	9.0k
Julia A. Schnabel	2.6k 0.8×	2.1k 0.8×	1.0k 0.7×	428 0.4×	431 0.6×	188	4.8k
Gary E. Christensen	3.9k 1.2×	2.9k 1.1×	1.1k 0.7×	1.3k 1.4×	1.2k 1.6×	158	8.1k
Yang Chen	4.1k 1.2×	3.0k 1.2×	3.3k 2.2×	534 0.6×	327 0.4×	360	8.0k
Qian Wang	3.2k 0.9×	2.4k 0.9×	1.2k 0.8×	561 0.6×	356 0.5×	308	7.0k
David R. Haynor	2.8k 0.8×	1.5k 0.6×	1.5k 1.0×	661 0.7×	550 0.7×	215	7.8k
Yang Lei	3.6k 1.0×	1.8k 0.7×	1.8k 1.2×	1.0k 1.0×	1.7k 2.2×	379	6.2k
Keelin Murphy	2.7k 0.8×	1.0k 0.4×	803 0.5×	1.1k 1.2×	457 0.6×	40	5.1k
Joachim Hornegger	7.5k 2.2×	3.5k 1.4×	4.0k 2.6×	859 0.9×	648 0.9×	448	13.5k
Reinhard Beichel	3.1k 0.9×	1.1k 0.4×	1.8k 1.2×	1.4k 1.5×	423 0.6×	83	7.4k

Countries citing papers authored by Marius Staring

Since Specialization

Citations

This map shows the geographic impact of Marius Staring's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marius Staring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Staring more than expected).

Fields of papers citing papers by Marius Staring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marius Staring. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marius Staring. The network helps show where Marius Staring may publish in the future.

Co-authorship network of co-authors of Marius Staring

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Staring. A scholar is included among the top collaborators of Marius Staring based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marius Staring. Marius Staring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Atsma, Douwe E., et al.. (2025). Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications. European Heart Journal - Digital Health. 7(2). ztaf127–ztaf127.

Staring, Marius, et al.. (2025). Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods. European Spine Journal. 34(3). 1146–1155.

Yu, Bo, Maarten K. Ninaber, Anne A. Schouffoer, et al.. (2024). Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT. Computers in Biology and Medicine. 182. 109192–109192. 1 indexed citations

Hildebrandt, Klaus, Marius Staring, Eleftheria Astreinidou, et al.. (2024). Implementation of delineation error detection systems in time-critical radiotherapy: Do AI-supported optimization and human preferences meet?. Cognition Technology & Work. 27(1-2). 41–57. 1 indexed citations

Staring, Marius, et al.. (2024). CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation. University of Twente Research Information. 2(Generative Models). 657–685. 2 indexed citations

Molenaar, M., Marius Staring, René van Egmond, et al.. (2024). Depth for Multi‐Modal Contour Ensembles. Computer Graphics Forum. 43(3).

Staring, Marius, et al.. (2024). Inclusion Depth for Contour Ensembles. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6560–6571. 1 indexed citations

Stoel, Berend C., Marius Staring, M. Reijnierse, & Annette H M van der Helm–van Mil. (2024). Deep learning in rheumatological image interpretation. Nature Reviews Rheumatology. 20(3). 182–195. 13 indexed citations

Javadpour, Amir, et al.. (2024). Bridging gaps with computer vision: AI in (bio)medical imaging and astronomy. Astronomy and Computing. 51. 100921–100921. 2 indexed citations

10.

Grootjans, Willem, et al.. (2023). Automated 2‐Dimensional Measurement of Vestibular Schwannoma: Validity and Accuracy of an Artificial Intelligence Algorithm. Otolaryngology. 169(6). 1582–1589. 3 indexed citations

11.

Vries‐Bouwstra, Jeska K de, Maarten K. Ninaber, Lucia J.M. Kroft, et al.. (2023). Automatic Pulmonary Function Estimation From Chest CT Scans Using Deep Regression Neural Networks: The Relation Between Structure and Function in Systemic Sclerosis. IEEE Access. 11. 135272–135282. 5 indexed citations

12.

Zhai, Zhiwei, Gudula J.A.M. Boon, Marius Staring, et al.. (2023). Automated quantification of the pulmonary vasculature in pulmonary embolism and chronic thromboembolic pulmonary hypertension. Pulmonary Circulation. 13(2). e12223–e12223. 3 indexed citations

13.

Tao, Qian, Willem Grootjans, Mark C. Kruit, et al.. (2022). Fully Automated 3D Vestibular Schwannoma Segmentation with and without Gadolinium-based Contrast Material: A Multicenter, Multivendor Study. Radiology Artificial Intelligence. 4(4). e210300–e210300. 23 indexed citations

14.

Doneva, Mariya, Tim Tolker‐Nielsen, Boudewijn P. F. Lelieveldt, et al.. (2020). An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. arXiv (Cornell University). 5 indexed citations

15.

Qiao, Yuchuan, Boudewijn P. F. Lelieveldt, & Marius Staring. (2019). An Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration. IEEE Transactions on Medical Imaging. 38(10). 2314–2325. 9 indexed citations

16.

Staring, Marius, et al.. (2018). GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications. Research Repository (Delft University of Technology). 26–26. 6 indexed citations

17.

Bom, I.M.J. van der, Stefan Klein, Marius Staring, et al.. (2011). Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 796223–796223. 38 indexed citations

18.

Klein, Stefan, Josien P. W. Pluim, Marius Staring, & Max A. Viergever. (2008). Adaptive Stochastic Gradient Descent Optimisation for Image Registration. International Journal of Computer Vision. 81(3). 227–239. 291 indexed citations

19.

Klein, Stefan, Uulke A. van der Heide, Irene M. Lips, et al.. (2008). Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. Medical Physics. 35(4). 1407–1417. 313 indexed citations

20.

Noordmans, Herke Jan, et al.. (2006). Registration and analysis of in-vivo multispectral images for correction of motion and comparison in time. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6081. 608106–608106. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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