I guess I’m one of the few who actually enjoys teaching. Not only do I feel that some knowledge needs to be revisited and refreshed, but preparing lectures also reminds me of the nice old days when I first learned them, feeling as if those wonderful times are not so far away.

Manuel Tran 's great work is built on the collaborative efforts of an amazing group of dedicated dermatologists, data analysts and machine learning experts Valerio Lupperger Valentin Koch Tingying Peng ! Fun project, thanks everybody!

I am thrilled to announce HistoGPT, a vision language foundation model that generates highly accurate pathology reports from gigapixel whole slide images.

medRxiv: medrxiv.org/content/10.110…
GitHub: github.com/marrlab/HistoG…
Hugging Face: huggingface.co/marr-peng-lab/…

Also check out our work for the award here arxiv.org/abs/2309.01865 for fusing dual-view light-sheet data. A joint effort from Gesine Muller, Nassir Navab, carsten marr, Jan Huisken, and Tingying Peng

Many congratulations, Yu. That is a great achievement

I’ll be presenting our method for volumetric microscopy image deconvolution today at #MICCAI23 .

I look forward to discussing approaches for image reconstruction with anyone that stops by.

MICCAI Tingying Peng Huisken lab

Happy to see Yann LeCun as one of the keynote speakers at #MICCAI2023 .

Enjoyed presenting parts of our work on biomarker prediction on colorectal cancer at the #ICCV2023 workshop on automated medical diagnostics. Happy to catch up if you’re around :)
#ICCV2023 Tingying Peng Jakob Nikolas Kather

Great work from Manuel and all other co-author. Another fruitful outcome of our MUDS with academic-industry collaboration between Helmholtz Munich | @HelmholtzMunich and Roche Deutschland

📝Hope for Colorectal #Cancer
Using #AI , scientists from #HelmholtzMunich & TU Dresden boost #precision #medicine in #oncology : Novel model for #biomarker detection helps to analyze tissue quicker, speeding up treatment decisions.
👉more insights: t1p.de/pmcs0
Jakob Nikolas Kather

Fruitful collaboration outcome and a super cool start point for our shared Humboldt postdoctoral Alaa Bessadok

Group retreat to Neuschwanstein and photo just before the storm comes

It is great pleasure to present our early accepted #MICCAI paper “Bcos aligned transformer ” from Manuel Tran , which results in more interpretable attention than normal vision transformer for biomedical images.

That’s a wrap! We are looking forward to meeting you again next year for our #HelmholtzImaging Conference.

#DontBeAStranger 👉 Stay up-to-date with our activities! Sign up for our newsletter: bit.ly/Subscribe-HI-N…

#HIConference2023

DESY Tour organized by #helmholtzimageconference

Today is #diversity day !
Do you know what aspects of #diversity are actuallly meant?
👶👩👵Age
🌍Ethnic original & nationality
🌈Gender & gender identity
💪Physical & mental abilities
🛐Religion
👬Sexual orientation
🪜Social background

#GDD23 #flagfordiversity #unitedindiversity

Kick off the statistical learning lecture by Fabian Theis . Looking forward to the this course of summer semester 2023 organized by the amazing team of carsten marr Leon Hetzel and Bastian Grossenbacher-Rieck @ ICLR 2024

Yeni bilimsel çalışmamız online🤗. Tüm fareyi boyamak için antikorlar kullandık. Bu sayede ilk kez tüm vücut sinir ve damar bağlantı haritaları ortaya çıktı. Bu yöntem nörodejenerasyon ve kanser gibi hastalıkları daha iyi anlamamıza yardımcı olacak 💪🏻💪🏻💪🏻.

Our BEN (brain extraction network) for mri finally show up in eLife - the journal. Another fruitful outcome for the collaboration with the team of Xiao-Yong Zhang

Congratulations to Dr. Alaa Bessadok on her Humboldt Fellowship! 🎉 Alaa will be joining Helmholtz Munich | @HelmholtzMunich as a postdoc, working on cell death and #drugdiscovery using #AI . Learn about her project in her own words! 👉 bit.ly/3PueLtm