Marcel Breeuwer

3.6k total citations · 1 hit paper
143 papers, 2.1k citations indexed

About

Marcel Breeuwer is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marcel Breeuwer has authored 143 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Computer Vision and Pattern Recognition and 31 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marcel Breeuwer's work include Advanced MRI Techniques and Applications (64 papers), Cardiac Imaging and Diagnostics (43 papers) and Medical Imaging Techniques and Applications (24 papers). Marcel Breeuwer is often cited by papers focused on Advanced MRI Techniques and Applications (64 papers), Cardiac Imaging and Diagnostics (43 papers) and Medical Imaging Techniques and Applications (24 papers). Marcel Breeuwer collaborates with scholars based in Netherlands, Finland and United Kingdom. Marcel Breeuwer's co-authors include Gilion Hautvast, R. Plomp, Amedeo Chiribiri, Frans N. van de Vosse, Emh Mariëlle Bosboom, Frans Gerritsen, Lambert Speelman, Anna Vilanova, Jaap Buth and Geert Willem H. Schurink and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Marcel Breeuwer

140 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges

2025 23 citations Yasmina Al Khalil, Marcel Breeuwer et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marcel Breeuwer Netherlands	27	962	561	494	434	351	143	2.1k
Zhifan Gao China	31	1.1k 1.1×	645 1.1×	298 0.6×	818 1.9×	630 1.8×	111	2.5k
Kwan-Hoong Ng Malaysia	19	791 0.8×	165 0.3×	202 0.4×	283 0.7×	271 0.8×	49	1.9k
Shuicai Wu China	28	827 0.9×	382 0.7×	126 0.3×	326 0.8×	688 2.0×	171	2.3k
Maria Filomena Santarelli Italy	24	973 1.0×	410 0.7×	141 0.3×	105 0.2×	274 0.8×	148	2.3k
Georg Rose Germany	21	695 0.7×	303 0.5×	505 1.0×	158 0.4×	528 1.5×	186	1.8k
Jan Kybic Czechia	21	950 1.0×	132 0.2×	170 0.3×	966 2.2×	490 1.4×	107	2.3k
J. Ross Mitchell Canada	28	1.1k 1.2×	150 0.3×	455 0.9×	339 0.8×	180 0.5×	71	2.4k
Carlos Alberola‐López Spain	26	818 0.9×	191 0.3×	81 0.2×	1.2k 2.9×	365 1.0×	169	2.6k
Burak Acar Türkiye	18	864 0.9×	636 1.1×	194 0.4×	481 1.1×	178 0.5×	65	2.2k
Jean-Louis Coatrieux France	30	1.3k 1.4×	238 0.4×	364 0.7×	1.9k 4.4×	1.1k 3.0×	196	3.7k

Countries citing papers authored by Marcel Breeuwer

Since Specialization

Citations

This map shows the geographic impact of Marcel Breeuwer'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 Marcel Breeuwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Breeuwer more than expected).

Fields of papers citing papers by Marcel Breeuwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel Breeuwer. 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 Marcel Breeuwer. The network helps show where Marcel Breeuwer may publish in the future.

Co-authorship network of co-authors of Marcel Breeuwer

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Breeuwer. A scholar is included among the top collaborators of Marcel Breeuwer 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 Marcel Breeuwer. Marcel Breeuwer 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

Khalil, Yasmina Al, Marcel Breeuwer, Josien P. W. Pluim, et al.. (2025). Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. Computers in Biology and Medicine. 189. 109834–109834. 23 indexed citations breakdown →

Lorenz, Cristian, et al.. (2024). Effective deep-learning brain MRI super resolution using simulated training data. Computers in Biology and Medicine. 183. 109301–109301. 3 indexed citations

Crawley, Richard, et al.. (2024). Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance. Investigative Radiology. 59(11). 767–773. 3 indexed citations

Scannell, Cian M., et al.. (2024). High-resolution quantification of stress perfusion defects by cardiac magnetic resonance. PubMed. 2(1). qyae001–qyae001. 1 indexed citations

Crawley, Richard, Robert J. Holtackers, Sven Plein, et al.. (2024). Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation. European Radiology Experimental. 8(1). 93–93. 3 indexed citations

Khalil, Yasmina Al, et al.. (2024). Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation. Computerized Medical Imaging and Graphics. 112. 102332–102332. 8 indexed citations

Lamerichs, Rolf, et al.. (2024). Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task. Frontiers in Psychiatry. 15. 1255370–1255370. 3 indexed citations

Khalil, Yasmina Al, et al.. (2024). Brain MR image simulation for deep learning based medical image analysis networks. Computer Methods and Programs in Biomedicine. 248. 108115–108115. 5 indexed citations

Veta, Mitko, et al.. (2022). Optimized automated cardiac MR scar quantification with GAN‐based data augmentation. Computer Methods and Programs in Biomedicine. 226. 107116–107116. 18 indexed citations

10.

Chiribiri, Amedeo, et al.. (2022). Physics-informed neural networks for myocardial perfusion MRI quantification. Medical Image Analysis. 78. 102399–102399. 40 indexed citations

11.

Khalil, Yasmina Al, et al.. (2022). On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. Medical Image Analysis. 84. 102688–102688. 35 indexed citations

12.

Scannell, Cian M., Adriana Villa, Jack Lee, Marcel Breeuwer, & Amedeo Chiribiri. (2019). Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data. IEEE Transactions on Medical Imaging. 38(8). 1812–1820. 29 indexed citations

13.

Scannell, Cian M., Amedeo Chiribiri, Adriana Villa, Marcel Breeuwer, & Jack Lee. (2019). Hierarchical Bayesian myocardial perfusion quantification. Medical Image Analysis. 60. 101611–101611. 16 indexed citations

14.

Chiribiri, Amedeo, Andreas Schuster, Masaki Ishida, et al.. (2012). Perfusion phantom: An efficient and reproducible method to simulate myocardial first‐pass perfusion measurements with cardiovascular magnetic resonance. Magnetic Resonance in Medicine. 69(3). 698–707. 37 indexed citations

15.

Hautvast, Gilion, Amedeo Chiribiri, Niloufar Zarinabad, et al.. (2012). Myocardial Blood Flow Quantification From MRI by Deconvolution Using an Exponential Approximation Basis. IEEE Transactions on Biomedical Engineering. 59(7). 2060–2067. 21 indexed citations

16.

Helderman, Frank, Marcel Breeuwer, Hendrikus H. Boersma, et al.. (2010). Predicting Patient-Specific Expansion of Abdominal Aortic Aneurysms. European Journal of Vascular and Endovascular Surgery. 40(1). 47–53. 8 indexed citations

17.

Speelman, Lambert, F.A.M.V.I. Hellenthal, Emh Mariëlle Bosboom, et al.. (2010). The Influence of Wall Stress on AAA Growth and Biomarkers. European Journal of Vascular and Endovascular Surgery. 39(4). 410–416. 50 indexed citations

18.

Speelman, Lambert, et al.. (2008). Patient-Specific AAA Wall Stress Analysis: 99-Percentile Versus Peak Stress. European Journal of Vascular and Endovascular Surgery. 36(6). 668–676. 59 indexed citations

19.

Hautvast, Gilion, Marcel Breeuwer, S. Lobregt, & Frans Gerritsen. (2006). Automatic exclusion of papillary muscles and trabeculae from blood volume measurements in cine cardiac magnetic resonance images. TU/e Research Portal. 57–60. 3 indexed citations

20.

Veldhuis, Raymond, et al.. (1989). Subband coding of digital audio signals. University of Twente Research Information. 44. 329–343. 21 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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