• 1255 Citaten
1988 …2020
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Persoonlijk profiel

Research profile

Marcel Breeuwer is part-time professor (1 day/week) in the Medical Image Analysis group at the department of Biomedical 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 & visualization; 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 then started his PhD research at VU University Amsterdamon 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 as part-time professor of Algorithms in Clinical Image Analysis Software at the department of Biomedical Engineering of Eindhoven University of Technology, research group Medical Image Analysis. 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).

Externe posities

Principal Scientist, Philips HealthTech

1 okt 1985 → …

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  • 1 Vergelijkbare profielen
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Onderzoeksoutput 1988 2020

6 Downloads (Pure)

Hierarchical Bayesian myocardial perfusion quantification

Scannell, C. M., Chiribiri, A., Villa, A. D. M., Breeuwer, M. & Lee, J., feb 2020, In : Medical Image Analysis. 60, 12 blz., 101611.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Bestand
Perfusion
Computer Simulation
Magnetic Resonance Spectroscopy
Signal-To-Noise Ratio
Magnetic resonance

Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

Scannell, C. M., Bosch, P. V. D., Chiribiri, A., Lee, J., Breeuwer, M. & Veta, M., 27 jul 2019, In : arXiv. 4 blz., 1907.11899v1.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

Open Access
Bestand
Kinetic parameters
Magnetic resonance imaging
Parameter estimation
Markov processes
Sampling

Deep-learning-based preprocessing for quantitative myocardial perfusion MRI

Scannell, C. M., Veta, M., Villa, A. D. M., Sammut, E. C., Lee, J., Breeuwer, M. & Chiribiri, A., 11 nov 2019, In : Journal of Magnetic Resonance Imaging.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Perfusion
Learning
Heart Ventricles
Myocardial Ischemia
Magnetic Resonance Imaging

Hierarchical Bayesian myocardial perfusion quantification

Scannell, C. M., Chiribiri, A., Villa, A. D. M., Breeuwer, M. & Lee, J., 6 jun 2019, In : arXiv. 2019, 37 blz., 1906.02540.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

Open Access
Bestand
Perfusion
Least-Squares Analysis
Noise
Markov Chains
Coronary Artery Disease
4 Citaties (Scopus)

Robust non-rigid motion compensation of free-breathing myocardial perfusion MRI data

Scannell, C. M., Villa, A. D. M., Lee, J., Breeuwer, M. & Chiribiri, A., 1 aug 2019, In : IEEE Transactions on Medical Imaging. 38, 8, blz. 1812-1820 9 blz., 8632981.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Motion compensation
Compensation and Redress
Magnetic resonance imaging
Respiration
Perfusion

Cursussen

Scriptie

3D orientation scores applied to MRA vessel analysis

Auteur: Janssen, M., 31 aug 2014

Begeleider: Breeuwer, M. (Afstudeerdocent 1) & Duits, R. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Automated tracking and segmentation of vascular trees

Auteur: van Grinsven, M., 31 aug 2011

Begeleider: Breeuwer, M. (Afstudeerdocent 1)

Scriptie/masterproef: Master

Brain blood perfusion and white matter integrity in accelerated cognitive ageing patiens with epilepsy

Auteur: Stevens, J., 31 okt 2019

Begeleider: Breeuwer, M. (Afstudeerdocent 1), Pluim, J. (Afstudeerdocent 2), Aldenkamp, A. (Afstudeerdocent 2), Zinger, S. (Afstudeerdocent 2), Mestrom, R. (Afstudeerdocent 2) & Bernas, A. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Estimating cardiac perfusion from CMR using kinetic modeling

Auteur: Leeuwis, L., 30 apr 2011

Begeleider: van Assen, H. (Afstudeerdocent 1) & Breeuwer, M. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Image quality improvement for small field of view head cone-beam CT

Auteur: Lu, L., 31 aug 2015

Begeleider: Pluim, J. (Afstudeerdocent 1), Breeuwer, M. (Afstudeerdocent 2), Nicolaij, K. (Afstudeerdocent 2) & Ruijters, D. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master