The FeTS initiative describes the on-going development of the largest international federation of healthcare institutions for identifying tumor boundaries.

Philadelphia, PA
Joined August 2020
Federated Tumor Segmentation (FeTS) Initiative retweeted
MAS's final AI guidelines ask for an AI inventory, an oversight record that counts near misses, and red teaming. Phased in 2027 and 2028. Read more: verysafe.ai/blog/20261020_ma…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
A green status is a claim and a screenshot is a file. Neither is evidence until an outsider can check it. Four questions that turn an artifact into evidence: who produced it, what period, which version, can someone else repeat it. verysafe.ai/blog/20261013_as…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Big news! We have joined @nvidia #Inception, a program designed to nurture startups revolutionizing industries with AI. We’ll be partnering with NVIDIA to accelerate our mission of delivering secure, enterprise-grade AI governance. 🛡️🤖 verysafe.ai/blog/20261006_ve…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Announcing that we have been named an @OpenAI Select Partner. For the work of getting AI into production where it has to survive an auditor, an ethics board, and a long operational lifecycle. Full details: vaiyu.solutions/announcement…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Karp's two complaints are one problem: nothing is verifiable. You can't price outcomes you can't prove, and owning GPUs doesn't govern what runs on them. The gap is verifiable compute: policy-routed, cryptographically attested runs. Building it @VerySafeAI
Man. What Palantir's CEO just said about OpenAI and Anthropic on national television is way deeper than most people realize. Alex Karp went on national television and said every enterprise in America is furious. Not frustrated. Furious. They are paying for tokens that create no value. And in exchange they are handing over the most valuable thing they own. Their data. Their workflows. Their strategy. Their competitive edge. Here is the question he asked that nobody in Silicon Valley wants to answer. If frontier AI models truly delivered the value the labs claim, why are they charging per token? Every high value firm in the world prices on outcomes. Lawyers charge for the case. Bankers take a percentage of the deal. Consultants charge for the result. OpenAI and Anthropic charge for the compute. That is not value pricing. That is compute pricing dressed up as value pricing. And Karp called it exactly what it is. The moment an enterprise runs its confidential documents, customer conversations, and financial models through a frontier model, it is potentially teaching that model how to replace them. The vendor collects the token fee. And the compounding intelligence about that business. But here is the part nobody is connecting. Karp did not invest in OpenAI or Anthropic. He invested in NVIDIA. Because NVIDIA sells you the hardware and walks away. They do not see your data. They do not cache your prompts. They do not retrain on your workflows. You own the compute. You own the weights. You own the data pipeline. You own the alpha. That is the full stack of control enterprises actually want. The debate inside most companies right now is still about which frontier model gives the best tokens per dollar. That is the wrong question entirely. The right question is who owns the means of production after the deal is signed. And right now the answer for most enterprises is not them.
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Federated Tumor Segmentation (FeTS) Initiative retweeted
You asked for it and we listened. After public demand, we're excited to be hosting FeTS 2024 🥳 Join 22 registered participants and give us your innovative aggregation algorithms! synapse.org/#!Synapse:syn540…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Excited to announce that the @BraTS_Challenge willl take place again at the annual meeting of the @MICCAI_Society #MICCAI24 in #Marrakesh. Even more exciting are the newly introduced #openscience #benchmarks/#challenges releasing new #data. @MiccaiStudents @bias_sig Stay tuned!!!
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Federated Tumor Segmentation (FeTS) Initiative retweeted
🌟 Exciting News! 🌟 Join us on a thrilling exploration of neuroimaging and medical analysis in Python at our upcoming workshop! 🧠🐍 . Renowned speakers are speaking on a plethora of topics such as modeling, segmentation, and bundle analytics. 🚀 Save the date: March 11-15. 🗓️ Don't miss out on this incredible journey! #ArtificialIntelligence #opensource #Python #AIinMedicine #MedicalAnalysis 🩺✨
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Congrats to the @MLCommons Medical working group for your @Nature recognition of the #GaNDLF framework, which combines AI with medical research enabling medical professionals to better diagnose and treat patients. #medicalai #ArtificialInteligence #healthtech
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: nature.com/articles/s44172-0… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
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Federated Tumor Segmentation (FeTS) Initiative retweeted
The zero-code Generally Nuanced #DeepLearning Framework (#GaNDLF) is featured as an Editors’ Choice Research Highlight of @Nature Communications Engineering @CommsEng! Kudos to our #software architect @SarthakPati for leading this industry-academia #OpenSource @MLCommons effort.
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: nature.com/articles/s44172-0… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: nature.com/articles/s44172-0… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Our own @SarthakPati & @UjjwalBaid gave a hands-on tutorial to clinicians at #RSNA2023 in Chicago showcasing the Comprehensive Open Federated Ecosystem (COFE). #MachineLearning from diverse data while preserving #privacy, without coding! @MLCommons, @FeTS_AI, @IUMedSchool, @RSNA
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Excited to report new NOA: $3.7M 5yr grant on #Federated #MachineLearning/#AI for #BreastCancer #Risk Assessment, based on the largest multi-site & diverse data ever reported, while developing #opensource privacy-preservation tools @NIH @theNCI #NCIITCR @NCIDataSci @IUMedSchool
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Discussing the major pain points for a practical, large scale federation deployment. A lot of these are taken care of using #MedPerf with our partnership with @MLCommons #opensource #OpenScience
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Keynote by Patrick Foley from @intel at the DeCaF workshop of #MICCAI2023 calling out the @FeTS_AI initiative. @SpyridonBakas @IUMedSchool
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The Federated Tumor Segmentation Tool (including BraTS-winning algorithms + FeTS Consensus Models) is now available as a Docker: github.com/FeTS-AI/Front-End…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
📢Calling all brain tumor researchers! Join our global federated learning study for automated volumetric response assessment in post-operative glioblastoma led by Dr. Evan Calabrese (@ecalabr) here at #DukeRadiology.
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FeTS2.0 is ready to go! #RANO together with @ecalabr and @SpyridonBakas are coordinating a #FederatedLearning study for post-operative gliomas! More info: fets-ai.github.io/FL-PoST
📢Calling all brain tumor researchers! Join our global federated learning study for automated volumetric response assessment in post-operative glioblastoma led by Dr. Evan Calabrese (@ecalabr) here at #DukeRadiology.
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Announcing MedPerf an open benchmarking platform for medical AI. Learn more about Federated Benchmarking of Medical AI with MedPerf in Nature Machine Intelligence. nature.com/articles/s42256-0… #machinelearning #ArtificialIntelligence #medperf #HealthcareInnovation #HealthTech
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