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

Joined August 2020
2 Photos and videos
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…

ALT Well Be Waiting James Dutton GIF

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Federated Tumor Segmentation (FeTS) Initiative retweeted
25 Mar 2024
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
16 Jan 2024
🌟 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
10 Jan 2024
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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We are having the Deep Learning Lab session led by @SarthakPati, @ujjwalbaid0408, @evancalabrese starting soon at #RSNA2023. @MLCommons
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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
17 Jul 2023
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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Federated Tumor Segmentation (FeTS) Initiative retweeted
Meeting Lee Cooper and discussing histopathology on the boat at #Lipari
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Federated Tumor Segmentation (FeTS) Initiative retweeted
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
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Federated Tumor Segmentation (FeTS) Initiative retweeted
Met the legendary @PTenigma at the Neuro Summer School at #Lipari.
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Federated Tumor Segmentation (FeTS) Initiative retweeted
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
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. nature.com/articles/s44172-0…
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Federated Tumor Segmentation (FeTS) Initiative retweeted
17 May 2023
Outstanding #BioIT23 plenary by @SpyridonBakas describing the largest #FederatedLearning study to date using @FeTS_AI, supported by #NCIITCR itcr.cancer.gov. Learn more about FeTS at med.upenn.edu/cbica/fets/
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