It's somewhat funny reading hot takes that generative AI doesn't pose any real ecological challenges because the marginal energy cost of calling simpler trained models is low.
23.01.2025 14:07 — 👍 226 🔁 78 💬 4 📌 1
Our paper on Tissue Concepts is finally out in JCompBiomed 🥳: Supervised pre-training of foundation models needs fewer data and less compute/energy to analyze pathology whole-slide images.
How? Read more here: doi.org/10.1016/j.co...
🧵1/5
10.01.2025 11:43 — 👍 7 🔁 2 💬 1 📌 0
Tissue concepts: Supervised foundation models in computational pathology
Due to the increasing workload of pathologists, the need for automation to support diagnostic tasks and quantitative biomarker evaluation is becoming …
Happy to share our work on sample efficient foundation models. „Tissue Concepts“ shows better (or same) performance on cancer subtyping tasks compared to other foundation models. All while only using 6% of the training data. Find out how —>
www.sciencedirect.com/science/arti...
10.01.2025 08:48 — 👍 1 🔁 1 💬 0 📌 0
What is the main difference between using an individual doi for your code vs using the doi from the paper you have published it with?
24.11.2024 07:59 — 👍 0 🔁 0 💬 1 📌 0
Our medical image foundation model is recently published in Nature Computational Science: "Overcoming data scarcity in biomedical imaging with a foundational multi-task model" 🎉.
We developed a *supervised* foundational training strategy and pretrained a model (UMedPT) …
14.11.2024 21:33 — 👍 3 🔁 2 💬 1 📌 0
Book: https://thecon.ai
Web: https://faculty.washington.edu/ebender
PathologyOutlines.com is a free, no-registration site with a unique, comprehensive, regularly updated textbook of surgical and clinical pathology, providing useful professional content for practicing pathologists and lab personnel, in 15 seconds or less.
Director of the Public Good Narrative Project. Served as a Director at the UN, Oxfam, ActionAid & Save the Children. Fellow at Bellagio, Notre Dame & Bosch. Wrote How to Fight Inequality. Writing a new book.
European Research Council, set up by the EU, funds top researchers of any nationality, helping them pursue great ideas at the frontiers of knowledge. #HorizonEU
Genomics, Bioinformatics.
github.com/tobiasrausch
Physiker, Autor, Wissenschaftserklärer, Kolumnist. Wien, Europa, Milchstraße & Umgebung. Glaube nicht alles, was du denkst!
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Machine Learning in Biomedical Imaging
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Professor @ Unal Engineering Bogotá #OrgulloUN
AI/ML⚡️& ChemE 🧪 @ Stanford.
Past: founder Plume Labs (acquired by AccuWeather).
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I’m still I’m still @rlacombe on X (and here).
-> https://romainlacombe.com
Machine learning in Python • Open Source
https://scikit-learn.org
Group leader @ Uni Göttingen for Computational Cell Analytics. Working on AI for biology and medicine with a focus on microscopy image analysis with deep learning.
https://user.informatik.uni-goettingen.de/~pape41/
AI @ OpenAI, Tesla, Stanford
Director of Imaging AI & Sr. Group Leader @czbiohub SF. Researcher at the meeting point of #AI, #Microscopy, and #Biology using #zebrafish as model — co-creator of @napari_imaging and #Omega. #devbio #zebrahub #deeplearning #lightsheet #Imaging #dataviz
Biomedical Computer Vision & Language Models, scads.ai / Leipzig University, also NFDI4BIOIMAGE, NEUBIAS/GloBIAS, GPUs, AI, ML 🔬🖥️🚀 views:mine
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Personal Account
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