Department of Biomedical Engineering

Medical Image Analysis

Developing methods and applications for medical imaging, to improve clinical care.

Supporting clinicians with image analysis

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.

Meet some of our Researchers

Assistant Professor

Alexander Raaijmakers

Associate Professor

Mitko Veta

Full Professor
(Part-time)

Marcel Breeuwer

Full Professor

Josien Pluim

Assistant Professor

Cian Scannell

Assistant Professor

Ruisheng Su

Full Professor emeritus

Bart ter Haar Romenij

Research Lines

Research Line of Medical Image Analysis

Deep Learning for Image-Guided Therapies

Surgical and radiotherapy treatments increasingly rely on images of the patient acquired using for example computed tomography (CT) or…

Research Line of Medical Image Analysis

Histopathology Image Analysis

We develop automatic quantitative histopathology image analysis algorithms that will increase the reproducibility and accuracy of pathology…

Research Line of Medical Image Analysis

Image Registration

The alignment of medical images is an ongoing topic of research. Early attempts date back as far as the early 1970s (e.g. Dowsett and Perry,…

Research Line of Medical Image Analysis

Brain Image Analysis

Magnetic resonance imaging (MRI) is nowadays extensively used to study structure and function of the brain, e.g. to diagnose and monitor…

Research Line of Medical Image Analysis

Quantitative cardiac magnetic resonance image analysis

This research line aims to provide clinicians with a comprehensive assessment of the heart鈥檚 health in a quantitative and automated manner,…

News

AI grants
January 9, 2025
果冻传媒 secures three AI Research Grants from NGF AINED XS Europe
We are pleased to announce that three 果冻传媒 research projects have received grants from the NGF AINED XS Europe initiative. These grants support innovative and...
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July 31, 2024
Enhancing ultra-high field MRI through data-driven techniques
Seb Harrevelt defended his PhD thesis at the Department of Biomedical Engineering on July 10th.
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More news
Overcoming scarcity MRI data from the brain
April 19, 2024
Optimizing Deep Learning for MRI segmentation
November 17, 2023
Improved fiber tractography algorithm for neurosurgical planning
September 8, 2023
Generating large amounts of artificial images for data-hungry deep learning algorithms
April 21, 2023

Recent Publications

Our most recent peer reviewed publications

Our job opportunities

Building a better future for our global society?

Join our research team and be part of the thriving community at Eindhoven University of Technology.  

The department of Biomedical Engineering currently has several vacancies, please contact us for more information.

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