Insights
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.
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[…]
Few Shot Learning for Enhanced Surgical Imaging in Head and Neck Cancer
The advancements in surgical techniques for head and neck cancer[…]
Focus on Content not Noise: Suppressing CycleGAN Steganography for Microscopy Image Generation
Are you tired of painstakingly annotating nuclei in microscopy images[…]
Insights from the 2022 edition of the MIDOG MICCAI Challenge
Insights from the 2022 edition of the MIDOG MICCAI Challenge[…]
Survival Prediction on Tissue Micro Arrays [BVM 2023 paper]
Jonas Ammeling from our group recently presented a paper on[…]