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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.
July 2025 — Salt Lake City, Utah
A team from the IDEA Lab made a strong showing at the Medical Imaging with Deep Learning (MIDL) 2025 conference, presenting their most recent research on generative models.
Among the highlights:
“Generate to Ground” introduced a novel use of text-t...
This June, Mischa Dombrowski, one of our PhD students, traveled to Nashville to present his latest research at CVPR 2025.
His paper, titled “Image Generation Diversity Issues and How to Tame Them,” delves into the often-overlooked problem of diversity in synthetic image datasets and proposes novel ...
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.
