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 moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Spatial and Temporal Quality of Brain Networks for Different Multi-Echo fMRI Combination Methods
IEEE Access (2023) -
A review of machine learning applications for the proton MR spectroscopy workflow
Magnetic Resonance in Medicine (2023) -
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation
Computers in Biology and Medicine (2023) -
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
Surgical Endoscopy (2023) -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI
IEEE Journal of Biomedical and Health Informatics (2023)
Research Lines
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
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Visiting address
Maxim JacquotSecretary Erica JansenGroene Loper, Building 15, Gemini-South 2.1065612 AZ EindhovenNetherlandsvictor19@ unal.nl -
Visiting address
bacc. Kian van SusaFloor Kalloe Bde Haanring6021BT Lage ZwaluweNetherlandslvandenbroek@ live.nl -
SecretaryRuben BeekmanLagebaan1782SK Kekerdomh.j.e.m.jansen@ tue.nl