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

    5612 AZ Eindhoven


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.


No photo of Samaneh Abbasi-Sureshjani

Samaneh Abbasi-Sureshjani

Person: OWP : University Teacher / Researcher

Photo of Yasmina Al Khalil

Yasmina Al Khalil

Person: Prom. : doctoral candidate (PhD)

Photo of Sina Amirrajab

Sina Amirrajab

Person: Prom. : doctoral candidate (PhD)

Research Output 1977 2018

Open Access
Blood Vessels
Retinal Vessels

Analysis of retinal vascular biomarkers for early detection of diabetes

Zhang, J., Dashtbozorg, B., Huang, F., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, ViPIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 811-817 7 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Medical problems
Fractal dimension
Statistical methods
Computer aided diagnosis

Analysis of vascular biomarkers on retinal images for early eye disease detection

Huang, F., 12 Sep 2018, Eindhoven: Technische Universiteit Eindhoven. 219 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access

Activities 2006 2012

ICT Innovatieplatform Brain & Cognition (External organisation)

ter Haar Romenij, B. (Member)

Activity: MembershipMembership of councilProfessional

Distinguished Professor in Biomedical Image Analysis

ter Haar Romenij, B. (Researcher)

Activity: OtherScientific

Research areas

Brain Image Analysis

Rina van Dijck - Postma (Content manager), Amy Broeders (Content manager), Lieke van Gorp (Content manager)

Impact: Research Topic/Theme (at group level)

Cardiovascular Image Analysis

Rina van Dijck - Postma (Content manager), Amy Broeders (Content manager), Lieke van Gorp (Content manager)

Impact: Research Topic/Theme (at group level)

Crowdsourcing for Medical Image Analysis

Rina van Dijck - Postma (Administrative support), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Student theses

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

Causal candidate genes identification for familial hypercholesterolemia family based on whole-genome sequencing

Author: Wang, Q., 31 Aug 2017

Supervisor: Hilbers, P. (Supervisor 1), van Riel, N. (Supervisor 2), Hovingh, K. (External person) (External coach), Bosnacki, D. (Supervisor 2) & Veta, M. (Supervisor 2)

Student thesis: Master

Clustered tumor phenotypes and resectability prediction for PDA using radiomic feature analysis

Author: Janse, M. H., 27 Sep 2018

Supervisor: de With, P. (Supervisor 1), Pluim, J. (Supervisor 2), Zinger, S. (Supervisor 2) & Hermans, J. (External person) (External coach)

Student thesis: Master