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Congrats Scott and @dominik_waibel for this feat!!! A truly inspiring interdisciplinary work with Meier Lab - MiBioEng @ HPC between PioneerCampus Helmholtz Munich | @HelmholtzMunich and Computational Health Center at @HelmholtzMunich

📢 Our (Salome Kazeminia, carsten marr) paper on topologically regularized multiple instance learning (MIL) for rare anemia disorder classification is on arXiv! arxiv.org/abs/2307.14025 1/8

Check out the new promo video of my PhD program 📹👇🏼 Congratulations #EpiCrossBorders! 🇩🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 Epigenetics Research at Helmholtz Munich Helmholtz Munich | @HelmholtzMunich The University of Edinburgh

⚡️Want to save compute when training your feature extractor for histopathology?🔬💻#CPath Study on 1(!) GPU for 2 CRC tasks led by our fantastic master student Benedikt Roth, co-supervised with Valentin Koch pre-print: arxiv.org/abs/2401.04720 code: github.com/beneroth13/din… 1/

Takeaways: - finetuning can be achieved with low resources (we used 1 GPU only + batch size 32 was sufficient for training ViT-g) - even for small datasets finetuning strong CV foundation models might be better than histo-pre-trained feature extractors 3/

My new lab at the Institute of AI for Health at Helmholtz Munich | @HelmholtzMunich is looking for postdocs! Great projects in AI for discovery of antimicrobial peptides and Computational oncology. RT or apply! jobs.helmholtz-muenchen.de/jobposting/2b4…

Interested in #Foundation #Models in #Health / #Medicine? -> Consider stopping by: April 10, Helmholtz Munich | @HelmholtzMunich 3 #keynotes, an exciting scientific program, and networking opportunities await. Registration / abstract submission: events.hifis.net/event/1221/ Fabian Theis carsten marr

Great projects, great environment, great supervisor ;-). Pls share / apply!

🎉ICLR 2026: Simplicial Representation Learning w/ Neural k-Forms #Geometry #MachineLearning #ICLR2024 📜openreview.net/forum?id=Djw0X… TL;DR: Learnable differential forms = ꜰᴇᴀᴛᴜʀᴇ ᴍᴀᴘꜱ for combinatorial complexes (like graphs), enabling classification + more! 🧵1/n

🎉 Stoked that Ernst Röell's first Ph.D. work "Differentiable Euler Characteristic Transforms for Shape Classification" was accepted ICLR 2026 #ICLR2024 👉A new, super fast topological layer (based on Euler Characteristic Transform) #geometry #topology #MachineLearning 🧵1/n

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/…

... how could I forget to tag Sophia J. Wagner (Hope you enjoy your research visit Faisal Mahmood !) and Robert from LAION (also in US right now?) ? Best regards from Munich!

Proud of the first chapter, hopefully of many, of our collaboration with Jungmann Lab published in Cell where SUM-PAINT was developed for imaging neurons. Kudos to Eduard Unterauer Kristina Mahipal Ganji Luciano A. Masullo carsten marr Felipe Opazo. sciencedirect.com/science/articl…

Amazing work from Valentin Koch and Sophia J. Wagner !!! Thank you both!

#PositionPaper 🇩🇪 Experts offers solutions to navigate the complexities of using #patient #data in #medical #research, addressing privacy concerns while maximizing #AI's potential. 👉Read more about their recommendations t1p.de/yw7a6 #HelmholtzMunich carsten marr

Our innovation grant-winning study on AI-based OCT analysis post-PCI is on medRxiv! DeepNeo is a tool for neointima & stent analysis with a GUI (⬇️) ! It classifies neoint. w same acc as experts + strong segmentation of lumen, stent and neoint.🔬 1/6 medrxiv.org/cgi/content/sh…

Difference in Piezo1-dependent Ca2+-influx, so what? To show "what", we teamed up with carsten marr's lab, adopting their custom-developed RBC morphology analysis algorithm. Ca2+-influx causes K+-efflux and loss of water from RBC - cells shrink. 8/n

Amazing collaboration indeed with generous funding from VolkswagenStiftung

Great collaboration and great model design from Valentin Koch !

Introducing HistoGPT: A Foundation Model for AI-Powered Pathology Reports. 💡A new AI tool with the potential to transform dermatopathology by automating process of generating high-quality pathology reports from histology images. 🔗t1p.de/83o0a