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Till N.

@tillnitus.bsky.social

Doing stuff with big images and small computers for oncology research

27 Followers  |  70 Following  |  2 Posts  |  Joined: 10.02.2024  |  1.4502

Latest posts by tillnitus.bsky.social on Bluesky


Karolinska Institutet hiring 1-2 doktorander i beräkningspatologi och medicinsk artificiell intelligens in Stockholm, Stockholm County, Sweden | LinkedIn Posted 2:40:20 PM. Vill du bidra till medicinsk forskning av toppkvalitet? Att vara doktorand innebär att vara antagen…See this and similar jobs on LinkedIn.

Check out this amazing PhD position in Sweden. The PI is a really amazing person. Do you want to continue to apply AI to pathology? This may be the PhD for you.

24.01.2025 12:27 — 👍 2    🔁 1    💬 0    📌 0
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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
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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
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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
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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

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