Projects per year
Personal profile
Research profile
Marcel Breeuwer is part-time full professor in the Medical Image Analysis group of the department of Biomedical Engineering and in the Signal Processing Systems group of the department of Electrical Engineering. His focus is on the clinical application of image analysis and visualization, and on computational modeling applications for supporting the care of patients with cardiovascular disease, neurological disease, or cancer. His expertise is in data compression; image-guided surgery; medical image analysis; medical signal processing; visualization; machine/deep learning; cardiovascular disease; neurology; oncology; and research project management.
Academic background
Marcel Breeuwer studied Electrical Engineering (Information Theory) at the Delft University of Technology (The Netherlands) where he received his MSc degree in 1982.He performed his PhD research at VU University Amsterdam on supplementing lipreading with auditory information. After receiving his PhD in 1985 he became a Research Scientist at the Philips Research Laboratories in Eindhoven (The Netherlands), investigating data compression of audio, video and medical images and heading the video coding team. In 1996, he started as Senior Scientist at Philips Healthcare (Best, The Netherlands) in the area of image-guided surgery and medical image processing. In 2006, he became Principal Scientist and head of the cardiovascular team in the Clinical Science & Advanced Development department, Business Unit Clinical Informatics Solutions. In 2010, he moved to the Clinical Science department of the Business Unit Magnetic Resonance and on 30 November 2023 he retired at Philips. In 2009, Marcel Breeuwer was appointed part-time full professor of Algorithms in Clinical Image Analysis Software in the Medical Image Analysis group of the department of Biomedical Engineering of Eindhoven University of Technology, research group Medical Image Analysis. Since 1 October 2022, he is also part-time full processor in the Signal Processing Systems group of the department of Electrical Engineering. He is member of the Board of the Dutch Society of Pattern Recognition and Image Processing (NVPHBV) and Fellow of the European Alliance for Medical and Biological Engineering Sciences (EAMBES).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Principal Scientist, Philips
1 Oct 1985 → 30 Nov 2023
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Collaborations and top research areas from the last five years
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Improving Myelin Imaging for NeuroDegenerative disorders
Zinger, S. (Project Manager), Breeuwer, M. (Project member) & Monachino, S. (Project member)
1/10/23 → 1/10/27
Project: Third tier
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Spectralligence AI211009
Breeuwer, M. (Project Manager), Veta, M. (Project member), Amirrajab, S. (Project member) & van de Sande, D. M. J. (Project member)
1/11/21 → 31/10/24
Project: Third tier
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Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Ibrahim, M. (Corresponding author), Khalil, Y. A., Amirrajab, S., Sun, C., Breeuwer, M., Pluim, J., Elen, B., Ertaylan, G. & Dumontier, M., May 2025, In: Computers in Biology and Medicine. 189, 42 p., 109834.Research output: Contribution to journal › Review article › peer-review
Open AccessFile2 Citations (Scopus)6 Downloads (Pure) -
Objective outcome prediction in depression through functional MRI brain network dynamics
Pilmeyer, J. (Corresponding author), Rademakers, S., Lamerichs, R. M. J. N., van Kranen-Mastenbroek, V. H. J. M., Jansen, J. F. A., Breeuwer, M. & Zinger, S., Mar 2025, In: Psychiatry Research. Neuroimaging. 347, 10 p., 111945.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Optimization of T1-w/T2-w ratio for myelin using different TE and exponents
Monachino, S., Drenthen, G. S., van den Boogaard, L. J. M., Breeuwer, M., Dinis Fernandes, C., Gerlach, O., Zinger, S. & Jansen, J. F. A., 17 Jan 2025.Research output: Contribution to conference › Abstract › Academic
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Scaling up self-supervised learning for improved surgical foundation models
Jaspers, T. J. M., de Jong, R. L. P. D., Li, Y., Kusters, C. H. J., Bakker, F. H. A., van Jaarsveld, R. C., Kuiper, G. M., van Hillegersberg, R., Ruurda, J. P., Brinkman, W. M., Pluim, J. P. W., de With, P. H. N., Breeuwer, M., Khalil, Y. A. & van der Sommen, F., 16 Jan 2025, arXiv.org, 19 p.Research output: Working paper › Preprint › Academic
Open AccessFile42 Downloads (Pure) -
Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation
Crawley, R., Amirrajab, S., Lustermans, D., Holtackers, R. J., Plein, S., Veta, M., Breeuwer, M., Chiribiri, A. & Scannell, C. M. (Corresponding author), 14 Aug 2024, In: European Radiology Experimental. 8, 1, 6 p., 93.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)26 Downloads (Pure)
Datasets
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Data for: Neu3CA-RT: A Framework for Real-Time fMRI Analysis
Heunis, S. (Creator), de Louw, A. (Contributor), Lamerichs, R. (Contributor), Bergmans, J. (Contributor), Breeuwer, M. (Contributor) & Besseling, R. (Contributor), Mendeley Data, 5 Oct 2018
DOI: 10.17632/xm3yfpzrvx.1, https://data.mendeley.com/datasets/xm3yfpzrvx
Dataset