Accepted as oral at ICLR 🎉: “A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification” arxiv.org/abs/2211.15259 Given the disruptive content, we are super relieved to receive this positive feedback (ranked among the top-15 submissions) 🧵(1/9)

🔥MISSION COMPLETE🔥 After 2.5 yrs, numerous workshops, surveys and expert group meetings and with contributions from > 150 researchers we converged to a joint 🕶️🕶️🕶️METRICS RELOADED consensus recommendation 🕶️🕶️🕶️ arxiv.org/abs/2206.01653. Update: 1/

nnU-Net has stood the test of time, continues to deliver excellent results and inspires the community as a framework for building new segmentation methods! It is with great excitement that we announce the release of nnU-Net V2 🎉😍 ➡ github.com/MIC-DKFZ/nnUNet 🧵(1/8)

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"

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

Are you working on a collaborative, cross-disciplinary research project in the field of imaging and data science? Then Helmholtz Imaging has the right call for you! Check it out: helmholtz-imaging.de/news/helmholtz… #HelmholtzImaging

#MICCAI2023 without MIC? Unimaginable! This year, we are again well represented. Here's an overview of our papers & challenge achievements to advance and enhance medical image processing research! ⬇

Great conference in the beautiful city of Vancouver with an awesome team! MIC at DKFZ IMSY Lab (DKFZ) #miccai2023

Congrats to the team, especially Max Rokuss, for winning 3 out of 4 tasks at TopCow Challenge #MICCAI2023 MIC at DKFZ

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 📊 🧵⬇️

#ICLR2024 oral 🎉 We reveal critical gaps between research and application in uncertainty estimation for image segmentation, hindering the real-life benefits of methods. AC: “We really need this paper, and we really need it to get attention” arxiv.org/abs/2401.08501 (1/6) 🧵⬇️

🌟 Join us to explore RETFound, a Foundation Model for Ophthalmology, as featured in Nature, with Prof. Pearse Keane. Discover its impact on diverse clinical tasks. 🤖👁️ #AIinHealthcare #FoundationModels #HeidelbergAI 🔗 Details & Registration: heidelberg.ai/2024/02/06/pea…

🍻EXCITING DAY: Our Nature Methods sister publications on #MetricsReloaded are out🎉. Recommendations: rdcu.be/dysg5 Pitfalls: rdcu.be/dysgX Helmholtz Imaging MICCAI SIG for Challenges ProjectMONAI NCT Heidelberg DKFZ Important for the community: 1/

It's really hard for me to state in words how important I think these two sister Perspectives are for the future of bioimage analysis. Kudos to all the authors on their extraordinary efforts. It's been a fun ride handling these papers.

Shocking or expected?

📢 New nnU-Net variants 📢 The #MICCAI2024 challenge season has started and we are giving you the tools 🔧 to succeed. Use the new [and scalable] residual encoder presets in nnU-Net to get the most out of your datasets! How do they perform? 👉 arxiv.org/pdf/2404.09556…

Join our "Digital Cancer Prevention" Team at MIC/DKFZ! We are looking for a motivated Computer Scientist or Software Engineer to join our team full-time. Interested? Apply now here: jobs.dkfz.de/en/jobs/166741…