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
Research Lines
News
November 17, 2023
Optimizing Deep Learning for MRI segmentation
Yasmina Al Khalil defended her thesis at the Department of Biomedical Engineering on November 16.
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September 8, 2023
Improved fiber tractography algorithm for neurosurgical planning
Andrey Zhylka defended his thesis at the Department of Biomedical Engineering on September 8th.
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More news
Generating large amounts of artificial images for data-hungry deep learning algorithms
April 21, 2023
Determining MRI scanning restrictions for patients with medical implants
July 1, 2022
AI analysis for a healthy eye
June 21, 2022
Biggest European database of pathology images accelerates development of AI in medicine
February 15, 2021
Recent Publications
Our most recent peer reviewed publications
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Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task
Frontiers in Psychiatry (2024) -
Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation
Computerized Medical Imaging and Graphics (2024) -
Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records
Informatics in Medicine Unlocked (2024) -
High-resolution quantification of stress perfusion defects by cardiac magnetic resonance
European Heart Journal. Imaging Methods and Practice (2024) -
Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T
NMR in Biomedicine (2023)
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