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
Free-breathing 2D radial cine MRI with respiratory auto-calibrated motion correction (RAMCO)Magnetic Resonance in Medicine (2023)
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance imagesMedical Image Analysis (2023)
AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonanceEuropean Heart Journal - Digital Health (2023)
Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning TechniquesHealthcare (Switzerland) (2023)
Computer-aided anatomy recognition in intrathoracic and -abdominal surgerySurgical Endoscopy (2022)
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.
Visiting addressSecretary Erica JansenGroene Loper, Building 15, Gemini-South 2.1065612 AZ EindhovenNetherlands