Join me at my poster T59 at #MICCAI22 if you want to talk about #transformers for genetic alteration prediction in computational #pathology 🤖🔬, great work from Daniel Reisenbüchler and thanks to Tingying Peng!

It's not all about research at MICCAI, networking is also important. Seems the MIC guys are doing great here as well. 😎 @fschrmax Constantin Ulrich Manuel Tran T.Wald Michael Baumgartner Valentin Koch Sophia J. Wagner Iain Carmichael Andrew H. Song David Zimmerer @dominik_waibel

Sooo good! Networking with Michelin⭐️street food 🤩. Must do for all MICCAI MICCAI Students in Singapore!

Students sharing their PhD experience with each other at the final day of this year's MUDS retreat 🎓 😎 Sophia J. Wagner Till Richter Lorenz Lamm Oleg Vlasovets

Great success at our parallel Session 2b: "Applied AI" today! Thanks to our outstanding speakers Annika Bande, Yunfei Huang, Sophia J. Wagner for showcasing the infinite applications of AI 🙌 #HelmholtzAICon #AppliedAI

📝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

🚀 FIRST-EVER Marr & Peng Lab Hackathon in beautiful Oberammergau! 👩‍💻 Was a great time to kickstart some promising projects 🥳 thanks to all the participants, especially co-organizers Benedikt Mairhörmann Rushin Gindra and of course carsten marr and Tingying Peng for making it all possible!

Happy to share DinoBloom 🦖🌺 for generalizable cell embeddings of blood🩸and bone marrow💉smears in #hematology developed w Valentin Koch, take a look at this thread👀 preprint: arxiv.org/abs/2404.05022 github: github.com/marrlab/DinoBl… Helmholtz Munich | @HelmholtzMunich carsten marr Tingying Peng

I am tremendously excited to announce that my work on 3D computational pathology has been published in Cell !! 🥰🎉 This has been truly a wonderful journey for the past few years. I really want to thank my wonderful mentors Professors Faisal Mahmood and Jonathan Liu

Join us tomorrow at 9:45 at #ISBI Lecture hall if you want to get insights on how to train your custom #histopathology feature extractor with limited resources! 💾

What would you do with 1000+ spatial transcriptomics samples with corresponding H&E-stained whole-slide images? Meet HEST-1k, a collection of 1,108 ST samples assembled from 131 public and internal cohorts encompassing 25 organs, 2 species. HEST-1k includes over 1.5 million

⚡️📣Delighted to announce MMP, a prototype-based multimodal framework combining histology and transcriptomics for cancer outcome prediction, to appear in #ICML 2024 ICML Conference. Congratulations to our superstar postdoc Andrew H. Song and rest of the team who helped the study.