Blog
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.
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[…]
Leveraging Image Captions for Streamlining Histopathology Image Annotation [MICCAI 2024 paper]
Counting mitotic figures (MFs) under a microscope is a crucial[…]
PhD/Post-Doc position in AI-based tumor characterizationPhD/Post-Doc Position in AI-Assisted Tumor Characterization (3 Years)
Join us at Hochschule Flensburg, an innovative campus with 3,200[…]
MIDL 2024: Robust mitosis detection in multiple cancer types – learnt solely from animal tissue samples
We have another paper on MIDL 2024, and we want[…]
MIDL 2024: Quilt-Cleaner, a pipeline for automatic cleaning of the QUILT-1M dataset.
We will be representing our research again this year at[…]
MIDL 2024 – An unofficial peek into the peer review results
A brief analysis of the review process at Medical Imaging[…]