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.
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)
Aymen Ayaz
- Department of Biomedical Engineering, Medical Image Analysis - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Research Output 1977 2019
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., 15 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
Chemical activation
A survey of crowdsourcing in medical image analysis
Ørting, S., Doyle, A., Hirth, M., van Hilten, A., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 Feb 2019, In : arXiv. 12 p., 1902.09159Research output: Contribution to journal › Article › Academic
Open Access
File
Image analysis
Astrophysics
Medical imaging
Metadata
Learning algorithms
Automatic cardiac landmark localization by a recurrent neural network
van Zon, M., Veta, M. & Li, S., 1 Jan 2019, Medical Imaging 2019: Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 13 p. 1094916. (Proceedings of SPIE; vol. 10949)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
landmarks
Recurrent neural networks
Mitral Valve
Magnetic Resonance Spectroscopy
Magnetic resonance
Prizes
Achievement for having a profile with more information
Seb Harrevelt (Recipient), 1 Feb 2019
Recognition: 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
AI can segment white-matter hyperintensities on MRI
22/04/19
1 item of media coverage
Press/Media: Expert Comment
Crowdsourcing for Medical Image Analysis wins Lorentz-eScience workshop competition ...
7/08/17
1 item of media coverage
Press/Media: Expert Comment
A randomized controlled trial of an image-guided system versus manual marking in the alignment of toric intraocular lenses in cataract surgery
2/06/17
1 item of media coverage
Press/Media: Expert Comment
Research areas
Brain Image Analysis
Cardiovascular Image Analysis
Crowdsourcing for Medical Image Analysis
Student theses
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
Automated spinous process segmentation in X-ray images using convolutional neural networks
Author: Roodhorst, S., 17 Dec 2018Supervisor: Pluim, J. (Supervisor 1) & Walsum, van, T. (External person) (External coach)
Student thesis: Master