Medical Image Analysis

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.

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.

Meet some of our Researchers

Assistant Professor

Ronald de Jong

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

December 2, 2025

Making deep learning reliable for adaptive radiotherapy

Medical images are essential for accurate diagnosis and treatment, such as surgery and radiotherapy. To make these images useful, they often need to be...

October 10, 2025

Generative AI in medical imaging: applications and challenges

On October 10, Evi Huijben successfully defended her PhD dissertation at the Department of Biomedical Engineering, where she explored how generative AI can...

More news

'Google Maps' for surgeons

July 1, 2025

黑料福利网 secures three AI Research Grants from NGF AINED XS Europe

January 9, 2025

Enhancing ultra-high field MRI through data-driven techniques

July 31, 2024

Overcoming scarcity MRI data from the brain

April 19, 2024

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.

Contact

Visiting address

Secretary Erica Jansen

Groene Loper, Building 15, Gemini-South 2.106

5612 AZ Eindhoven

Netherlands

040-247 5537
Visiting address

Secretary Erica Jansen

Groene Loper, Building 15, Gemini-South 2.106

5612 AZ Eindhoven

Netherlands

040-247 5537
Secretary

h.j.e.m.jansen@tue.nl

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