• Groene Loper, Building 15, Gemini-South 2.106, Secretary Rina van Dijck-Postma

    5612 AZ Eindhoven

    Netherlands

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.

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 journalArticleAcademicpeer-review

Open Access
Radio
Safety
Magnetic Fields
Heating
Libraries
1 Downloads (Pure)

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 journalArticleAcademicpeer-review

Open Access
File
Learning
Computer Simulation
Safety
Uncertainty
Prostate
6 Downloads (Pure)

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 proceedingConference contributionAcademicpeer-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: OtherPopular

MVPP

Seb Harrevelt (Recipient), 1 Feb 2019

Prize: OtherPopular

profiles

Activities 2006 2019

Reached an uncanny level of Pure Profile editing

Seb Harrevelt (Recipient)
1 Feb 2019

Activity: Other activity typesOtherPopular

ICT Innovatieplatform Brain & Cognition (External organisation)

Bart M. ter Haar Romeny (Member)
20102013

Activity: Membership typesMembership of councilProfessional

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 2019

Supervisor: 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 2018

Supervisor: 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 2017

Supervisor: Sepasian, N. (Supervisor 1), Fuster, A. (Supervisor 2) & Pluim, J. (Supervisor 2)

Student thesis: Master