Don't miss the next @NCT_HD Data Science Seminar by @cherise_go on Advancing deep medical image segmentation with adversarial data augmentation on May 17 at 11:00 AM CEST.
@DataScienceDKFZ@lena_maierhein
Registration via: https://t.co/fZoe9jKnqq
Update: We integrated @MetaAI'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.
https://t.co/TUgh6IggQy
Join us for our next ELLIS Life/NCT Data Science Seminar on Apr 19 at 11:00 AM CEST! @JanStuehmer will talk about "Interpretable representations and neuro-symbolic methods in deep learning". Hybrid event with live streaming option available.
Register now: https://t.co/7wBfCG9jZi
Exciting news! @mic_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:
➡ https://t.co/efGZMDvdm9
#segmentation#Napari"
Another @NCT_HD & @DKFZ Data Science Seminar coming up, this time held by Uwe Korn (@xhochy) from @quantcotech on "Best practices for parallelizing data pipelines " on Mar 8 at 11:00 AM.
Registration & more info:
https://t.co/hpZfTz6Ywd.
I am so excited about this seminar next week @AziziShekoofeh! We spontaneously changed the focus of the talk after her paper released last month became one of the top 5% papers ever tracked by Altmetric 🔥@ellislifehd 👇🏻👇🏻👇🏻
#AI meets #healthcare ❤️🩹– Join the "Virtual Roadshow: AI in Health Care and Medical Technologies", on 1st December 2022, organized by us @BIOPRO_BW and @BW__i! The chance for #AI and healthcare experts from #BW to connect with partners from 🇬🇧, 🇳🇱and🇨🇭!
➡️https://t.co/wuBCN3Kk99
Do you want to have some insights into the largest research organization in Germany which develops solutions and technologies for the world of tomorrow? Here is your chance! #datascience
https://t.co/d4FPxIEAEk
Don't miss the next NCT Data Science Seminar by @anirbanakash on "Reverse engineering the doctor's mind" on Nov 2 at 11:00 AM CET.
Registration & more info:
https://t.co/LZFSzCm3Ad
In our @ERC_Research consolidator grant NEURAL_SPICING we approach the problem of quantitative spectral imaging with a "learning to simulate" approach. Our work on generation of plausible tissue geometrics is now published: https://t.co/r8OXdi7aff by @MelanieSchell15
☝️ It's Job Alert Friday!🤩
Our pick this week:
Postdoc in Data Science, Chemistry or Physics @HZBde
➡️https://t.co/IBdm6c1jIn
Find your job in #DataScience, #ML, #AI@Helmholtz_en! 🖥️
Browse all offers: https://t.co/eAgPok6qL5
@ResearchGermany@HelmholtzJrs @HeibDs @hds_lee
🏆🏆🏆Congratulations to team @DKFZ_IMSY_lab under lead of Amine for winning the surgical action detection challenge soooo nicely organized by @CammaLab et al.!
🧑💻🦸AI-HERO is back!!!
We proudly announce the
⚡️⚡️2nd Hackathon on Energy Efficient AI⚡️⚡️
taking place Dec 12-14.
Register now on https://t.co/VRaI8NxDer and help us make AI a little greener 🌱🌻
@helmholtz_ai@helmholtz_hmc@helmholtz_image@nhr_germany @SCC_KIT @mic_dkfz
💥!!! It's Job Alert Friday!!! 🤸
Our pick this week:
Bioinformatician in the Simon Group for the research on immune & hematopoeitic cells
➡️ https://t.co/38dVRyvYMl
Find your job in #DataScience, #ML, #AI@Helmholtz_en!
Browse all our job offers: https://t.co/eAgPok6qL5
Job offer in @mic_dkfz: "2 AI Data Scientist" needed to help make data and machine learning models visible, accessible and usable - within the @helmholtz_hmc Hub Health.
More info: https://t.co/RJaaQ3zHX2
#hiring#helmholtz_metadata
nnU-Net does it again: Our team from @helmholtz_image and @mic_dkfz won the AMOS2022 competition by using nnU-Net (https://t.co/Hc4exCdJeM) as a framework for method development. Official challenge results: https://t.co/uaLYd4QgG9; our preprint:
https://t.co/8AJfQuPljg.
Make deep learning #AI algorithms in computational pathology more reproducible and reusable.
Comment from @p_tingying@MarrCarsten and colleagues @helmholtz_ai
https://t.co/Y0yTaxAFPK