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
Project Related Publications
Our most recent peer reviewed publications
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A review of machine learning applications for the proton MR spectroscopy workflow
Magnetic Resonance in Medicine (2023) -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI
IEEE Journal of Biomedical and Health Informatics (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) -
Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task
(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
Secretary Erica JansenGroene Loper, Building 15, Gemini-South 2.1065612 AZ EindhovenNetherlands -
Visiting address
Secretary Erica JansenGroene Loper, Building 15, Gemini-South 2.1065612 AZ EindhovenNetherlands -
Secretaryh.j.e.m.jansen@ tue.nl