Federated Tumor Segmentation (FeTS) Initiative

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

[Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI]

The largest #FederatedLearning study to date. 71 medical institutions across 6 continents. Stay tuned for more.

https://t.co/SoHu6YA5x1

@CBICAannounce @FeTS_Challenge @PennRadiology @PennMedicine @SpyridonBakas

[VerySafe.AI @VerySafeAI]

The UK's NCSC says no product can fully mitigate prompt injection. So limit what an agent can reach, and record what it did.

https://t.co/9YPQN0RBAl

[VerySafe.AI @VerySafeAI]

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: https://t.co/zZ4WjFMCDx

[VerySafe.AI @VerySafeAI]

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.

https://t.co/nhsZJB2phP

[VerySafe.AI @VerySafeAI]

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. 🛡️🤖

https://t.co/MNoom7CqK9

[Vaiyu Solutions @VaiyuSolutions]

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: https://t.co/RdFK1FmwLL

[Sarthak Pati, Ph.D. @SarthakPati]

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

[FeTS Challenge @FeTS_Challenge]

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!

https://t.co/W0e53Q7KxG

[BraTS @BraTS_challenge]

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!!!

[dipy @dipymri]

🌟 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 🩺✨

[MLCommons @MLCommons]

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

[IU Division of Computational Pathology @IUCompPath]

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.

[Sarthak Pati, Ph.D. @SarthakPati]

Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: https://t.co/OZdCNRGMxi

This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice

Find out more at https://t.co/jLWunjoWPi

[IU Division of Computational Pathology @IUCompPath]

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

[Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI]

We are having the Deep Learning Lab session led by @SarthakPati, @ujjwalbaid0408, @evancalabrese starting soon at #RSNA2023.

@MLCommons

[Spyridon Bakas @SpyridonBakas]

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

[Sarthak Pati, Ph.D. @SarthakPati]

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

[Sarthak Pati, Ph.D. @SarthakPati]

Keynote by Patrick Foley from @intel at the DeCaF workshop of #MICCAI2023 calling out the @FeTS_AI initiative. @SpyridonBakas @IUMedSchool

[Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI]

The Federated Tumor Segmentation Tool (including BraTS-winning algorithms + FeTS Consensus Models) is now available as a Docker: https://t.co/mDGlpkN20I

[Duke Radiology @DukeRadiology]

📢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.

[Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI]

FeTS2.0 is ready to go!

#RANO together with @ecalabr and @SpyridonBakas are coordinating a #FederatedLearning study for post-operative gliomas! More info: https://t.co/mCMNGANw06

[Duke Radiology @DukeRadiology]

📢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.