FeTS Challenge

The profile for the first ever computational Federated Learning Challenge @MICCAI

#FeTS #FeTS2022

[MLCommons @MLCommons]

Federated Learning in Healthcare tutorial at #ISBI2024 explored COFE, an ecosystem for clinical AI/ML development. @MLCommons Medical WG presented #GaNDLF, #MedPerf, & #OpenFL for secure, multi-institution AI training & evaluation.
https://t.co/1Bp2pC87Xo
#BiomedicalImaging

[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!!!

[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 @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

[Spyridon Bakas @SpyridonBakas]

It is a right & a duty to vote! To shape the future of the @MICCAI_Society you belong & care about!
Select your #MICCAI Board representative!
I am a candidate.

Cover pages & Voting: https://t.co/blJPIfKMcA
Deadline: Dec 20
@MiccaiStudents @WomenInMICCAI @bias_sig @miccai_sigbir

[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

[Sarthak Pati @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

[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

[MLCommons @MLCommons]

Announcing MedPerf an open benchmarking platform for medical AI. Learn more about Federated Benchmarking of Medical AI with MedPerf in Nature Machine Intelligence. https://t.co/Mj5CF4bGDC
#machinelearning #ArtificialIntelligence #medperf #HealthcareInnovation #HealthTech

[Sarthak Pati @SarthakPati]

Met the legendary @PTenigma at the Neuro Summer School at #Lipari.

[Aly Abayazeed, MD, MS, CIIP @AlyRad_ai]

Day#2 of @SanoScience and @PennMedicine NeuroScience Summer School was a success 👌🏾Sponsored by @Neosoma_ai. @SpyrosBakas @SarthakPati @EANOassociation @Dr_Alex_Crimi @intel @MLCommons @linuxfoundation

[Sarthak Pati @SarthakPati]

Meeting Lee Cooper and discussing histopathology on the boat at #Lipari

[Prashant Shah @prashantpdx]

Our new #nature publication on #GaNDLF: an e2e no/low code framework for reproducible #healthcare AI. GANDLF is integrated with #OpenFL #federatedlearning & #OpenVINO
Congrats @SpyridonBakas @SarthakPati & the @PennMedicine team for leading + the extended @MLCommons contributors

[Communications Engineering @CommsEng]

A study in @commseng reports a community-driven open-source framework to enable deep learning-based analysis of healthcare data without requiring extensive computational experience. The framework facilitates the integration of AI into clinical workflows. https://t.co/wnTvXflMRi

[MLCommons @MLCommons]

Enable zero/low-code scalable & deployable healthcare AI with GaNDLF. Read more in Nature Communications Engineering. @CommsEng @NaturePortfolio
https://t.co/GmpgWKt93c
#Machinelearning #deeplearning #healthtech

[Sarthak Pati @SarthakPati]

Thanks for talking about GaNDLF in your talk, @ecalabr!

For anyone who is interested, find out more at https://t.co/jLWunjooZK

@MLCommons @CBICAannounce @FeTS_AI @SpyridonBakas

[Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI]

The FL framework that we have been using/co-developing is now part of the #LinuxFoundation!

See more at https://t.co/7hrWSKvF9j

#FederatedLearning #opensource

[Spyridon Bakas @SpyridonBakas]

Thrilled to see our @NatureComms article on #Federated #MachineLearning featured at @NIH #Research #Matters!

Post: https://t.co/IyYvEGYVN7

#NCIITCR @NCIDataSci @theNCI
@Penn @PennRadiology @PennMedNews @IntelAI @IntelNews @SarthakPati @UjjwalBaid0408 @PrashantPDX @nsxfreddy