Posts by Marc Aubreville
Welcome to our blog on research at the intersection of deep learning and microscopy data. This revolutionary combination is reshaping our understanding of diseases, powered by novel datasets and insightful research. Here, we report breakthroughs in pathology, spotlighting how AI detects early disease markers and stratifies patient conditions. Discover our latest advances in detecting rare microscopic events with potential in medicine, environmental studies and beyond. Join us as we uncover the potential of deep microscopy.
Insights from the MIDOG 2025 Challenge Paper
We are happy to share that the first preprint of[…]
muROMI – Dataset Dashboard
In our muROMI project (funded by the Deutsche Forschungsgemeinschaft (DFG)[…]
(mu)ROMI – Building the biggest and most diverse mitotic figure dataset
Every now and then we like to share some views[…]
2nd Flensburg Symposium on AI & Human Factors
We’re happy to be part of the 2nd Flensburg Symposium[…]
Research staff position in Robotics and AI
We are currently looking for a talented engineer / researcher[…]
When Histology Reveals More Than Intended: Patient Re-identification from Digital Slides
The digitization of histopathology slides has transformed how we diagnose[…]
Is Self-Supervision Enough? Apparently not for Mitotic Figure Detection. [BVM 2025 paper]
In the fast-moving world of AI in digital pathology, foundation[…]
Flensburg Symposium on Human Computer Interaction and Deep Learning
We hereby invite scientists and professionals from the field of[…]
When Precision Meets Ambiguity: Information Mismatch in PHH3-Assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis
When Precision Meets Ambiguity: Information Mismatch in PHH3-Assisted Mitosis Annotation[…]
Using Large Language Models for Tumor Board Procedural Recommendations
Tumor boards are meetings where specialists from many disciplines meet[…]
