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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 teh 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. 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 parti-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 Healthcare
1 Oct 1985 → …
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Spectralligence AI211009
Breeuwer, M., van de Sande, D. M. J., Amirrajab, S. & Veta, M.
1/11/21 → 31/10/24
Project: Research direct
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A Framework for Simulating Cardiac MR Images with Varying Anatomy and Contrast
Amirrajab, S., Al Khalil, Y., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., Mar 2023, In: IEEE Transactions on Medical Imaging. 42, 3, p. 726-738 13 p., 9924194.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile13 Downloads (Pure) -
A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
Sande, D. M. J. V. D., Merkofer, J. P., Amirrajab, S., Veta, M., Sloun, R. J. G. V., Versluis, M. J., Jansen, J. F. A., Brink, J. S. V. D. & Breeuwer, M., 16 May 2023, In: arXiv. 2023, 2305.0962.Research output: Contribution to journal › Article › Professional
File12 Downloads (Pure) -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&ms Challenge
Martin-Isla, C., Campello, V. M., Izquierdo, C., Kushibar, K., Sendra-Balcells, C., Gkontra, P., Sojoudi, A., Fulton, M. J., Arega, T. W., Punithakumar, K., Li, L., Sun, X., Al Khalil, Y., Liu, D., Jabbar, S., Queiros, S., Galati, F., Mazher, M., Gao, Z., Beetz, M., & 20 others , 17 Apr 2023, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics. XX, X, p. 1-14 14 p.Research output: Contribution to journal › Article › Academic › peer-review
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Free-breathing 2D radial cine MRI with respiratory auto-calibrated motion correction (RAMCO)
Krishnamoorthy, G., Tourais, J., Smink, J., Breeuwer, M. & Kouwenhoven, M., Mar 2023, In: Magnetic Resonance in Medicine. 89, 3, p. 977-989 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
Objective biomarkers of depression: A study of Granger causality and wavelet coherence in resting-state fMRI
Cîrstian, R., Pilmeyer, J., Bernas, A., Jansen, J. F. A., Breeuwer, M., Aldenkamp, B. & Zinger, S., 10 May 2023, In: Journal of Neuroimaging. 33, 3, p. 404-414 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile