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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

Today is #diversityday! 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

DESY Tour organized by #helmholtzimageconference

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

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.

Group retreat to Neuschwanstein and photo just before the storm comes

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

📝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

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

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 :) #ICCV2025 Tingying Peng Jakob Nikolas Kather

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

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

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 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/…

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 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.

Exciting to advertise Tomas’ low light enhancement tool which works both for game of thrones and bioluminescent microscopy images x.com/ifelsetom/stat…

I’m thrilled to introduce MemBrain V2(github.com/teamtomo/membr…), our latest research tool developed by Lorenz Lamm and co-supervised by Ben Engel, right here at the beautiful Princeton campus. It’s exciting to see how widely it’s being adopted by the community!

Excited to share TITAN, a multimodal foundation model for pathology trained on >330k WSIs, synthetic captions, and reports🔬⚡ co-lead w Tong Ding Andrew H. Song Richard J. Chen Thanks to Faisal Mahmood Tingying Peng! Preprint: arxiv.org/abs/2411.19666 Model: huggingface.co/MahmoodLab/TIT…