BVM 2021 is happy to announce four virtual tutorials at 07.03.2021 Tutorial 1: Advanced #DeepLearning by MIC at DKFZ Jens Petersen, Klaus Maier-Hein et al. Registration in combination with BVM conference or separately: bvm-workshop.org/registrierung-… ReMIC @ OTH Regensburg BVM Community DGBMT

Looking forward to the DKFZ Data Science and heidelberg.ai seminar talk by Fred Hamprecht tomorrow. Talk will be available at dkfz.de/en/datascience…. You can register at heidelberg.ai MIC at DKFZ @DKFZ_CAMI_lab Jens Petersen Paul F. Jaeger Doreen Heckmann-Nötzel

We are looking for Ph.D. students (bit.ly/3tokQvH) and Postdocs (bit.ly/2Qle2zW) to join the Interactive ML Group DKFZ and helmholtz-imaging.de focusing on probabilistic and interactive systems for image analysis. All positions fully funded! RT welcome :)

Limitations of image processing metrics at a glance: arxiv.org/pdf/2104.05642…. Feel free to contribute to the next version of this dynamic article! IPCAI MICCAI Students Women in MICCAI Helmholtz Information & Data Science Academy HIDA Helmholtz AI. Current version compiled by authors from 35 labs:

From Science to Startup to Siemens 👩‍🔬🛰️ ...How? Join the innovation journey of AI on July 1st, 4 – 6 pm! An interactively designed panel discussion and personal 1:1 session with the speakers and organizers await you. 📢Register here: lnkd.in/dqGwxJi

After two years of work, the preprint of largest ever medical image segmentation challenge - the Medical Segmentation Decathlon - is out: arxiv.org/abs/2106.05735. It's incredible how far we've come in making image segmentation a commodity tool. More here medicaldecathlon.com

It's been a while, but the #heidelbergai YT channel has 3 new videos on graph partitioning (Fred Hamprecht ), importance of expert knowledge in MIA (Lena Maier-Hein New: @lena-maier-hein.bsky.social ), large language models (Timo Denk ): youtube.com/channel/UCfHWB… . w/ Paul F. Jaeger Gregor Koehler Klaus Maier-Hein

🙌🏻 Polarizing or already arrived in everyday life? 👋 "Ethics and AI: How to successfully integrate both into businesses" - on July 27th at 4 – 6 pm. Interactive talk about, #privacy and #bias in algorithms and 1:1 sessions. 📢 So join us now: lnkd.in/gNfbvHq

Pleased to announce nnDetection: We re-designed the auto-config of nnU-Net for object detection methods and evaluated on a large-scale benchmark of 13 diverse Medical Datasets. Visit our poster at #MICCAI2021(Wed-S1&3-CAD-R042) rdcu.be/cyl6r

Excited about this #SurgicalDataScience application with potential for relatively fast clinical translation: rdcu.be/cOtQ6! All the details on June 7th at IPCAI. Universitätsklinikum Heidelberg / DKFZ project by Lucas Müller Prof. Dr. Felix Nickel (PI) Jens Petersen Beat Müller et al

Neural Image Compression with a Diffusion-Based Decoder abs: arxiv.org/abs/2301.05489

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)

With a text prompt and a click of a button you can now generate brand new 2D images, 3D images, and even videos. But at what cost? While this technology has great potential, it faces challenges which we will address in this #AI webinar. Sign up here: assets.qualcomm.com/efficient-gene…

Come join our team for an internship 🙆‍♂️

The code for clockwork is now open-source! It allows up to 40% time savings with close to no loss in percept. quality w/o any finetuning required. Add a single line to your pipeline synthesis code and see for yourself! github.com/Qualcomm-AI-re…

Join Noor Fathima Khanum and myself this afternoon at #CVPR2024 to learn more about Clockwork Diffusion :) Highlight poster #345, from 5pm in Arch 4A-E

🌵Presenting our paper on predictive imaging biomarker discovery at #WACV2025 this Sunday! 📄 arxiv.org/abs/2406.02534… Thanks to Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger and Klaus Maier-Hein for working on this together MIC at DKFZ!

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…