Valentin Koch

93 posts

Valentin Koch

Valentin Koch

@ValentinKoch_

Tech Lead AI squad @ Floy | previously PhD Candidate at Helmholtz Institute of AI for Health & TUM @ Munich School of Data Science (@MunichDS)

Katılım Ekim 2021
275 Takip Edilen188 Takipçiler
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Valentin Koch
Valentin Koch@ValentinKoch_·
🧬 Histopathology just got smarter! CellPilot is an open-source framework for cell & gland segmentation, trained on 675,000+ masks 🚀 it combines automatic segmentation w interactive refinement. Perfect for creating large-scale datasets! 🌟 1/
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Bryan Johnson
Bryan Johnson@bryan_johnson·
I think this explains the AI situation: “Anyone not confused doesn’t really understand the situation.” -Murrow
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Fabian Isensee
Fabian Isensee@FabianIsensee1·
HD-BET just became a lot more powerful and robust thanks to nnU-Net (+some data augmentation tweaks) 🥳 Install with `pip install -U hd-bet` or via our GitHub repository: github.com/MIC-DKFZ/hd-bet Happy brain extraction 💀!
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Valentin Koch
Valentin Koch@ValentinKoch_·
🧬 Histopathology just got smarter! CellPilot is an open-source framework for cell & gland segmentation, trained on 675,000+ masks 🚀 it combines automatic segmentation w interactive refinement. Perfect for creating large-scale datasets! 🌟 1/
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Sophia J. Wagner
Sophia J. Wagner@sophiajwagner·
Excited to share TITAN, a multimodal foundation model for pathology trained on >330k WSIs, synthetic captions, and reports🔬⚡ co-lead w @TongDing99 @GreatAndrew90 @richardjchen Thanks to @AI4Pathology @p_tingying! Preprint: arxiv.org/abs/2411.19666 Model: huggingface.co/MahmoodLab/TIT…
Faisal Mahmood@AI4Pathology

⚡️📣After the success of our previous pathology foundation models UNI (rdcu.be/dBMgh) and CONCH (rdcu.be/dBMf6), we are now announcing TITAN (arxiv.org/abs/2411.19666), a new state-of-the-art whole slide level foundation model trained on >330k pathology slides using a diverse set of neoplastic, infectious, and inflammatory cases and corresponding captions synthetically generated via PathChat (nature.com/articles/s4158…) our generative AI co-pilot for pathology. Preprint: arxiv.org/pdf/2411.19666 Code: github.com/mahmoodlab/TIT… Download Model: huggingface.co/MahmoodLab/TIT… Blog from @TongDing99: lnkd.in/eRdbpjAM Congratulations to our superstar trainees: @TongDing99 @sophiajwagner @GreatAndrew90 @richardjchen

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Andrej Karpathy
Andrej Karpathy@karpathy·
The reality of the Turing test
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Tingying Peng
Tingying Peng@p_tingying·
I’m thrilled to introduce MemBrain V2(github.com/teamtomo/membr…), our latest research tool developed by @LorenzLamm and co-supervised by @bengeliscious, right here at the beautiful Princeton campus. It’s exciting to see how widely it’s being adopted by the community!
Princeton Materials Institute@PrincetonMSE

Tingying Peng (@p_tingying) of @HelmholtzMunich presented MemBrain v2, “an end-to-end tool for analysis of membranes in cryo-electron tomography” #FEMPL3

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Valentin Koch
Valentin Koch@ValentinKoch_·
1/ 🧵Introducing UNICORN,🦄 the first #AI model for integrating multi-stain #histopathology images for classification, designed to tackle missing data during both training and inference. Great colab between @HelmholtzMunich & @TU_Muenchen German Heart Centre! the architecture ⬇️
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Valentin Koch
Valentin Koch@ValentinKoch_·
4/ Another cool visualization (single stain shown here): Combining attention rollout & prediction scores per patch gives extremely focussed highlights on decision regions that we call "class attention". 🎯
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Deedy
Deedy@deedydas·
Quitting your $300k job as Senior Software Engineer in BigTech to become Founder of the 1000th AI-powered copilot and raising a modest seed is Silicon Valley’s version of joining a gym in January
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Valentin Koch
Valentin Koch@ValentinKoch_·
@_sajad_tavakoli thanks :) currently we are happy with the amount of data. but happy to get feedback if you have been using our models!
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sajad
sajad@_sajad_tavakoli·
@ValentinKoch_ Great work! Happy to see that our database has been helpful for your research :D, please let me know if you need any help with using more data if needed
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Valentin Koch
Valentin Koch@ValentinKoch_·
Celebrating the 100th download of our models and #MICCAI2024 acceptance! Check also out our github where we also list even more publicly available #hematology datasets: github.com/marrlab/DinoBl…
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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Roger Grosse
Roger Grosse@RogerGrosse·
A strange but plausible future is one where 2028-era AIs can autonomously spit out NeurIPS papers and this results in no discernible speedup in scientific progress.
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Keşfet

@FabianIsensee1 @HelmholtzMunich @TU_Muenchen @MarrCarsten @ja_schnabel @TongDing99 @GreatAndrew90 @richardjchen