carsten marr

110 posts

carsten marr

@MarrCarsten

Analyzing and modeling single cells in biomedical data

Helmholtz Munich, GER เข้าร่วม Haziran 2018

128 กำลังติดตาม645 ผู้ติดตาม

carsten marr รีทวีตแล้ว

Helmholtz Munich | @HelmholtzMunich@HelmholtzMunich·28 May

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

Helmholtz Munich | @HelmholtzMunich tweet media

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carsten marr@MarrCarsten·30 Eyl

Great collaboration and great model design from @ValentinKoch_ !

Valentin Koch@ValentinKoch_

5/ Cool work together w/ Sabine Bauer from Heart Centre Munich, thanks to co-authors and advisors @VLupperger, Michael Joner, Heribert Schunkert, @ja_schnabel, Moritz von Scheidt and @MarrCarsten! preprint: arxiv.org/abs/2409.17775… 🤑 code: github.com/ValentinKoch/U… 🤓

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Eugenio F. Fornasiero@euforna·28 Mar

Proud of the first chapter, hopefully of many, of our collaboration with @JungmannLab published in @CellCellPress where SUM-PAINT was developed for imaging neurons. Kudos to Eduard Unterauer @jekriste @mahipal_ganji @l_masu @MarrCarsten @FelipeOpaz_o. sciencedirect.com/science/articl…

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Lennart Kuck, PhD@KuckLennart·2 Eyl

Difference in Piezo1-dependent Ca2+-influx, so what? To show "what", we teamed up with @MarrCarsten'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

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carsten marr@MarrCarsten·30 Eyl

Amazing collaboration indeed with generous funding from @VolkswagenSt

Christian Schroeter,@Schroeterfisch

Happy to share the outcome of a long-standing collaboration with @DrukkerMicha and @MarrCarsten on mechanisms of species-specific differentiation speed biorxiv.org/content/10.110… @mpimoph @HelmholtzMunich @LACDR A thread

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Valentin Koch@ValentinKoch_·18 Haz

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…

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Helmholtz Munich | @HelmholtzMunich@HelmholtzMunich·16 May

#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 @MarrCarsten

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carsten marr@MarrCarsten·12 Nis

Amazing work from @ValentinKoch_ and @sophiajwagner !!! Thank you both!

Valentin Koch@ValentinKoch_

Excited to introduce DinoBloom🦖🌺, an open-source foundation model family (Vit-S to G) for general cell embeddings in #hematology🩸 Trained w mod. #DINOv2 on 13 datasets w 380,000+ WBC images of blood & bonemarrow. Evaluated on AML subtype & cell classification (knn, lin probe)

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carsten marr@MarrCarsten·3 Nis

@JungmannLab @CellCellPress @EduardUnterauer Great to see the work of @EduardUnterauer , @Ali_S_Boushehri and the amazing team eventually published!

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Jungmann Lab@JungmannLab·28 Mar

30-COLOR DNA-PAINT at 3D sub-15 nm RESOLUTION. We are overly excited to announce the publication of our latest work “Spatial proteomics in neurons at single-protein resolution” in @CellCellPress. Huge collaborative effort led by @EduardUnterauer. 1/9 cell.com/cell/fulltext/…

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carsten marr@MarrCarsten·20 Mar

... how could I forget to tag @sophiajwagner (Hope you enjoy your research visit @AI4Pathology !) and Robert from @laion_ai (also in US right now?) ? Best regards from Munich!

Manuel Tran@TranManuel

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/…

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carsten marr@MarrCarsten·19 Mar

@TranManuel 's great work is built on the collaborative efforts of an amazing group of dedicated dermatologists, data analysts and machine learning experts @VLupperger @ValentinKoch_ @p_tingying ! Fun project, thanks everybody!

Manuel Tran@TranManuel

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carsten marr รีทวีตแล้ว

Manuel Tran@TranManuel·19 Mar

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Bastian Grossenbacher-Rieck@Pseudomanifold·15 Mar

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

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Bastian Grossenbacher-Rieck@Pseudomanifold·13 Mar

🎉@iclr_conf: 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

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Ewa Szczurek@ewa_szczurek·24 Oca

My new lab at the Institute of AI for Health at @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…

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carsten marr@MarrCarsten·9 Mar

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

Ewa Szczurek@ewa_szczurek

To future PhD students! My lab offers two super exciting positions to work on AI-driven antimicrobial peptide discovery. Please share and apply. Can't wait to work on this topic with you☺️! Both positions are funded by @ERC_Research. Check the ad here: jobs.helmholtz-muenchen.de/jobposting/82b…

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carsten marr รีทวีตแล้ว

Bjoern Eskofier@BjoernEskofier·15 Şub

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

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Sophia J. Wagner@sophiajwagner·11 Oca

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/

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Sophia J. Wagner@sophiajwagner·11 Oca

⚡️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 @roth_benedikt13, co-supervised with @ValentinKoch_ pre-print: arxiv.org/abs/2401.04720 code: github.com/beneroth13/din… 1/

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lea.schuh@SchuhLea·10 Oca

Check out the new promo video of my PhD program 📹👇🏼 Congratulations #EpiCrossBorders! 🇩🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @epigeneticsHMGU @HelmholtzMunich @EdinburghUni

Robert Schneider@robert_ife

Learn more about EpiCrossBorders ! Video featuring our #Epigentics focused international PhD program -joint btw. @HelmholtzMunich and @EdinburghUni - is now online . 👁️ and share: youtube.com/watch?v=SKSgsw…

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ค้นพบ

@ValentinKoch_ @JungmannLab @CellCellPress @jekriste @mahipal_ganji @l_masu @FelipeOpaz_o @VolkswagenSt