Home
Welcome to the Image Data Exploration and Analysis Lab website! Our mission is to revolutionize the field of health data analysis by developing novel and computationally efficient techniques for the exploration and analysis of image data. We aim to reduce health inequalities and democratize access to rare healthcare expertise by utilizing advanced computational tools and techniques to improve the accuracy, speed, and accessibility of medical diagnosis and treatment. Our team is dedicated to exploring the frontiers of data-driven healthcare research and innovation, and we are committed to making a meaningful difference in the lives of people worldwide. Join us on our journey towards a healthier and more equitable future.
Bernhard Kainz (Senior Member, IEEE) has been appointed as Senior Area Editor for IEEE TRANSACTIONS ON MEDICAL IMAGING (TMI), the premier scientific journal in the field of medical image analysis.
Our group showcased multiple research papers at the premier conference for medical image analysis, highlighting our latest advancements and contributions to the field.
We presented some of our work coming out of our fantastic NHR@FAU infrastructure at the 2024 European Conference on Computer Vision.
This October, our team gathered for the Borderless Symposium, an event where we connect in person to discuss our latest research and strategic directions. Meeting regularly throughout the year in Erlangen and other locations fosters collaboration across institutions and disciplines, allowing us to e...
UKER and IDEA lab Researchers have developed an ML tool to improve the diagnosis and assessment of severe complications in patients with Fontan circulation, a surgical treatment for various single-ventricle congenital heart conditions. While survival rates have improved, patients remain at risk for complications like protein-losing enteropathy and plastic bronchitis, often due to lymphatic system congestion.
