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.
Fingerprint Dive into the research topics where Medical Image Analysis is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Magnetic resonance imaging
Engineering & Materials Science
Imaging techniques
Engineering & Materials Science
Brain
Engineering & Materials Science
Diffusion tensor imaging
Engineering & Materials Science
Visualization
Engineering & Materials Science
Image registration
Engineering & Materials Science
Image analysis
Engineering & Materials Science
Tensors
Engineering & Materials Science
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 1977 2020
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., 30 Sep 2019, In : Magnetic Resonance in Medicine.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
Radio
Safety
Magnetic Fields
Heating
Libraries
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., 4 Sep 2019, In : Magnetic Resonance in Medicine. 83, 2, p. 695-711 17 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Learning
Computer Simulation
Safety
Uncertainty
Prostate
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN
Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 1 Mar 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 7 p. 109491N. (Proceedings of SPIE; vol. 10949).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Biomarkers
Image analysis
Pipelines
Neural networks
Medical problems
Prizes
Achievement for having a profile with more information
Seb Harrevelt (Recipient), 1 Feb 2019
Prize: Other › Popular
profiles
Activities 2006 2019
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
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
Postdoc Artificial intelligence for ultrasound imaging in North Brabant, Eindhoven
31/07/19
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