Research Output per year
Organization profile
Introduction / mission
Developing methods and applications for medical imaging, to improve clinical care.
Highlighted phrase
Supporting clinicians with image analysis
Organisational profile
Imaging is a crucial element of all stages of medical care: from screening, diagnosis, prognosis and treatment, to the monitoring of therapy. With the increasing size and complexity of images, automated image analysis is an indispensible support for clinicians. Moreover, it opens novel ways to improve care.
We contribute to this rapidly growing field by developing new concepts for medical image analysis as well as applications that support clinicians in their decision making, ultimately aiming for safer and better care.
Our group investigates image analysis on methodological topics as registration, quantification, crowdsourcing and machine learning. In close contact with industry and hospitals, we contribute to the field of image analysis for oncology, cardiology, neurology and histopathology as well as the field of high-field MRI acquisition and RF safety.
We provide courses on the topic of Medical Image Analysis in both the Bachelor's and the Master's curriculum (both BME and ME programs). In cooperation with the University Medical Center Utrecht we offer a joint master in Medical Imaging.
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Yasmina Al Khalil
- Department of Biomedical Engineering, Medical Image Analysis - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Sina Amirrajab
- Department of Biomedical Engineering, Medical Image Analysis - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Research Output
Accelerating implant RF safety assessment using a low-rank inverse update method
Stijnman, P. R. S., Tokaya, J. P., van Gemert, J., Luijten, P. R., Pluim, J. P. W., Brink, W. M., Remis, R. F., van den Berg, C. A. T. & Raaijmakers, A. J. E., 1 May 2020, In : Magnetic Resonance in Medicine. 83, 5, p. 1796-1809 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
A deep learning method for image-based subject-specific local SAR assessment
Meliadò, E. F., Raaijmakers, A. J. E., Sbrizzi, A., Steensma, B. R., Maspero, M., Savenije, M. H. F., Luijten, P. R. & van den Berg, C. A. T., 1 Feb 2020, In : Magnetic Resonance in Medicine. 83, 2, p. 695-711 17 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
1
Citation
(Scopus)
10
Downloads
(Pure)
A systematic approach to evaluate practice-based process- and outcome data applied to the treatment of neovascular age-related macular degeneration
van der Reis, M. I., Elshout, M., Berendschot, T. T. J. M., de Jong-Hesse, Y., Webers, C. A. B. & Schouten, J. S. A. G., 9 Jan 2020, In : BMC Ophthalmology. 20, 1, 10 p., 21.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Prizes
Achievement for having a profile with more information
Seb Harrevelt (Recipient), 1 Feb 2019
Prize: Other › Popular
Activities
Reached an uncanny level of Pure Profile editing
Seb Harrevelt (Recipient)1 Feb 2019
Activity: Other activity types › Other › Popular
The European Alliance of Medical and Biological Engineering and Science (EAMBES) (External organisation)
Bart M. ter Haar Romeny (Member)2012
Activity: Membership types › Membership of committee › Scientific
ICT Innovatieplatform Brain & Cognition (External organisation)
Bart M. ter Haar Romeny (Member)2010 → 2013
Activity: Membership types › Membership of council › Professional
Press / Media
Eindhoven University of Technology: Artificial Intelligence Brings Greater Precision to Operations
8/02/20
1 item of Media coverage
Press/Media: Expert Comment
Artificial intelligence brings greater precision to operations
6/02/20
1 item of Media coverage
Press/Media: Expert Comment
Professor Maarten Merkx new Dean of the Department of Biomedical Engineering at TU/e
Frank P.T. Baaijens, Peter A.J. Hilbers, Maarten Merkx, Keita Ito & Josien P.W. Pluim
21/10/19
1 item of Media coverage
Press/Media: Expert Comment
Research areas
Brain Image Analysis
Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)
Impact: Research Topic/Theme (at group level)
Cardiovascular Image Analysis
Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)
Impact: Research Topic/Theme (at group level)
Crowdsourcing for Medical Image Analysis
Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Administrative support), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)
Impact: Research Topic/Theme (at group level)
Student theses
3D medical image segmentation with labeled and unlabeled data using autoencoders
Author: Sital, C., 28 Nov 2019Supervisor: Raaijmakers, A. (Supervisor 1), Weese, J. (External person) (External coach) & Brosch, T. (External person) (External coach)
Student thesis: Master
A computational biology framework: a data analysis tool to support biomedical engineers in their research
Author: Beishuizen, T., 29 Nov 2018Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)
Student thesis: Master
Analyzing the relation between brain lesions and short association fibers using diffusion MRI
Author: Kamps, J., Jun 2017Supervisor: Sepasian, N. (Supervisor 1), Fuster, A. (Supervisor 2) & Pluim, J. (Supervisor 2)
Student thesis: Master