Visit our #midl2022 poster booth today in person at 11 and virtual at 15:20 (session 1.2)!

I had a fantastic time at @midl-conference.bky.social and the doctoral symposium! Thank you to everyone who helped organize the conference and student activities (and Lukas Klein for acting as tour guide) 😄

Lukas Klein provokes us to think about formalising inference explanation as a statistical process to help people extract causal information from models. A challenge is getting insights about our population, not just the model or sample data #XAI2022 #IJCAI2022Workshop

Sooooo cool to have an actual in-person #SYMIC (IMSY Lab (DKFZ) + MIC at DKFZ ) Christmas symposium again 🎄🤶great outfits, great cookie contest, great team💪🏻💪🏻💪🏻!

Excited to announce the members of AI for Global Goals’ international Advisory Committee! The committee is made up of talented #OxML alumni, each bringing their unique perspective & experience to the organisation, as we continue to expand globally 🙌🌎 #machinelearning #ai #SDG

Robin Rombach, one of the first authors of the groundbreaking Stable Diffusion, will give a talk on Thursday, 9th of February at 4 pm at the DKFZ about his work: Stable Diffusion and Friends - Generative Modeling in Latent Space For more info: heidelberg.ai/2023/02/09/sta…

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)

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)

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…

Still in a good mood while our future is currently being decided on by the Helmholtz Imaging reviewers next door😅.

And off I go to the next stop of this great day, #AI outreach to the general public hosted by DESY (English). Glad to wave the Helmholtz AI and HZDR @[email protected] flag with Lukas Klein and others!

Machine Learning has revolutionized medical image analysis. Lukas Klein gives an introduction to relevant concepts with focus on computer vision. This talk is part of the course package "Machine Learning-based Image Analysis" at the Incubator Summer Academy events.hifis.net/event/858/prog…

Does Active Learning work? When and how to apply AL to a specific task and data? Do we need AL in times of Self-SL/Semi-SL? In our work, presented at #NeurIPS2023 this week (Wed. morning, #217), we address these essential open questions in AL. arxiv.org/abs/2301.10625 ⬇️🧵

🌐 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…