Fabian Isensee Awesome! You are a symbol of useful and high-performance code!🫡 Recently, I did a survey on the winning solutions in MICCAI 2022 segmentation challenges. nnUNet keeps winning these competitions. Really amazing!

Exciting news! MIC at DKFZ’s new Segment Anything Model (SAM) plugin for Napari is out now! One-click segmentation of any object with Meta AI's SAM system, plus extension to full semantic segmentation. Check out the plugin here: ➡ github.com/MIC-DKFZ/napar… #segmentation #Napari"

Update: We integrated AI at Meta's Segment Anything Model into Napari for both 2D and 3D images and extended #SAM to semantic and instance segmentation! Works out-of-the-box for natural, medical and most other types of images. github.com/MIC-DKFZ/napar…

The KiTS challenge is back with an expanded training set of 489 cases, brand new test set of 110 cases, and the addition of a new contrast phase! Help us advance the field & improve patient outcomes. Download the data today & compete for the $5,000 prize! kits-challenge.org/kits23

See you at #MICCAI2023 :) Check out our poster on “Understanding Silent Failures in Medical Image Classification” (T-03-125, on Tuesday morning) where we shed light on the critical cases where both classifier *and* uncertainty estimation (UE) fail: arxiv.org/abs/2307.14729 🧵⬇️

Our work on improving perovskite #photovoltaics⚡️ manufacturing through #XAI is finally out in Advanced Materials: bit.ly/3QpoQJ3 🎉 We also presented this work last week at the #NeurIPS2023 XAIA workshop as one of 4 selected orals out of 59 📊 🧵⬇️

Amazing work! Congratulations 🎉

HD-BET just became a lot more powerful and robust thanks to nnU-Net (+some data augmentation tweaks) 🥳 Install with `pip install -U hd-bet` or via our GitHub repository: github.com/MIC-DKFZ/hd-bet Happy brain extraction 💀!

nnU-Net v2.6 released! Most important change: Rework of the preprocessed data format 🚀 We now use Blosc2 for partially reading compressed files! Faster IO with less disk space required. Many thanks to Jan Sellner from IMSY Lab (DKFZ) and the Blosc team for their amazing help!