Tino Ebbers

Linköping University

Key Publications
Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: Identifying reliable biomarkers such as ventricular relaxation rate
Computers in Biology and Medicine, 2025
Editorial for “MRI Investigation of the Association of Left Atrial and Left Atrial Appendage Hemodynamics with Silent Brain Infarction”
Journal of Magnetic Resonance Imaging, 2025
Accurate fully automated assessment of left ventricle, left atrium, and left atrial appendage function from computed tomography using deep learning
European Heart Journal – Imaging Methods and Practice, 2024
Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: identifying reliable biomarkers such as ventricular relaxation rate
2024
Haemodynamic significance of extrinsic outflow graft stenoses during HeartMate 3™ therapy
European Heart Journal – Imaging Methods and Practice, 2024

The focus of the research group is to develop the next generation imaging, modeling, simulation and artificial intelligence methods for the assessment of the cardiovascular system in health, diseases and therapies.

Last updated: 2025-03-10

Content Responsible: Hampus Pehrsson Ternström(hampus.persson@scilifelab.uu.se)

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