We're excited to announce the first edition of 🔵🔴 UniReps: the Workshop on Unifying Representations in Neural Models! 🧠 To be held at NeurIPS Conference 2023! SUBMISSION DEADLINE: 4 October Check out our Call for Papers, lineup of speakers and schedule at: unireps.org

Exciting news! 🎙️ Co-authored a paper spearheaded by my brilliant colleague Constantin Ulrich being presented as an oral at MICCAI. 📄🔬 His great work unlocks all publicly available 3D medical datasets for segmentation. Proud to be a part of this! 🚀 #MICCAI2023 #research

Interested in applications of anomaly detection in lung heterogenous diseases? Visit my poster (T-04-023) tomorrow from 1pm! 👀 MICCAI 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 for a Special Talk on AI and Infectious Disease Outbreak Prediction with Prof. Joacim Rocklöv, leading Germany's first AI lab in this field. Discover how AI can revolutionize disease surveillance and prediction! 🔗 Details & Registration: heidelberg.ai/2024/01/31/joa…

🍻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/

Computer Vision conference's acceptance criteria these days: #CVPR2024 #eccc2024 #AI #ComputerVision

Concerning results: We've evaluated Transformer-, Mamba-, and CNN-based architectures, revealing widespread validation flaws in #MedicalImageSegmentation. Many claims of superiority do not withstand strict testing. Time to push for rigor in the field :) arxiv.org/pdf/2404.09556…

📢 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…

Will be presenting this work as a spotlight at #ICLR on Thursday. Please drop by our poster or DM me to know more about intriguing properties of generative classifiers. Joint work with Kevin Clark and Robert Geirhos.

Are you interested in how AI can improve healthcare? Catch Constantin Ulrich and me tomorrow at the re:ception from 10:00 to 11:00 re:publica and let's have a chat! #Helmholtz #rp24 #ArtificialIntelligence #radiology #Healthcare #WhoCares

Jetzt auf der re:publica: Unsere Session zu #FoundationModels - Open for science and open to the world: Eine neue Generation von #KI-Modellen, die Foundation Models, soll eine ganze Reihe von großen Herausforderungen in der Wissenschaft angehen und bewältigen. #rp24

The UK Biobank (UKB) has been an amazing field changing resource for the past decade. Unfortunately, and very suddenly, they have decided that to work with their data you now *must* use their “Research Analysis Platform” (RAP). UK Biobank I guess there have been general warning

Happy with our MICCAI challenge results, MIC at DKFZ will be well represented at the upcoming conference in Marrakesh 🎉 congratulations to all team members who contributed 👏 . If you'd like to connect with our team, feel free to reach out.

#SYMIC goes Africa🇲🇦🙌🏻! Excited to attend #MICCAI2024 in BEAUTIFUL Morocco with our awesome and fun team #SYMIC = MIC at DKFZ + IMSY Lab (DKFZ) + DKFZ-IML

Excited to share nnInteractive: The nnU-Net moment for 3D Interactive Segmentation! Supports points, scribbles, boxes, & a new lasso prompt for full 3D masks from 2D inputs. Check it out: arxiv.org/abs/2503.08373 github.com/MIC-DKFZ/napar… mitk.org/wiki/MITK-nnIn…