Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computationally efficient techniques for the analysis of health data like medical imaging.
We are thrilled to announce that this week, Mischa had the fantastic opportunity to present our paper 'Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability' as an oral presentation at the AAAI Conference on Artificial Intelligence as part of the main conference - Safe, Rob...
We met 18-19 September in Erlangen to kick-start the MIA-NORMAL project and to discuss our research and future directions. Great autumn vibes in IDEA@AIBE@FAU.
The Image Data Exploration and Analysis Lab (https://www.idea.tf.fau.eu/) at the Department Artificial Intelligence in Biomedical Engineering (AIBE) has an exciting opening to be filled as soon as possible for
Research Assistant (PhD Student) or Postdoctoral Researcher (TV-L E13 - 100%) starting 1 April 2023.
Read this fantastic survey paper by one of my former PhD students and myself if you want to know more about Human-in-the-loop computing.
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
https://arxiv.org/abs/...
The Image Data Exploration and Analysis Lab addresses some of the most important issues facing the world today. Data science is revolutionising how medicine is understood, how biomedical research is conducted and how healthcare is delivered. Our mission is to reduce health inequalities, democratize ...
