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.Read more
Meet some of our Researchers
Maureen van Eijnatten
Bart ter Haar Romenij
Our most recent peer reviewed publications
A review of machine learning applications for the proton MR spectroscopy workflowMagnetic Resonance in Medicine (2023)
Deep Learning Segmentation of the Right Ventricle in Cardiac MRIIEEE Journal of Biomedical and Health Informatics (2023)
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentationComputers in Biology and Medicine (2023)
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomySurgical Endoscopy (2023)
Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task(2023)
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…
Histopathology Image Analysis
We develop automatic quantitative histopathology image analysis algorithms that will increase the reproducibility and accuracy of pathology…
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,…
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…
Cardiovascular Image Analysis
The main purpose of medical image analysis is the extraction of meaningful information to support disease diagnosis and therapy.
Retinal Image Analysis
The research program of the Retinal Image Analysis group is aimed at the development and exploitation of computer-aided diagnosis (CAD)…
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.