Federated Tumor Segmentation (FeTS) Initiative @FeTS_AI
The FeTS initiative describes the on-going development of the largest international federation of healthcare institutions for identifying tumor boundaries. fets.ai Philadelphia, PA Joined August 2020-
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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:syn5…
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!!!
🌟 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 🩺✨
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/s4417… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
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/s4417… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: nature.com/articles/s4417… This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org
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
We are having the Deep Learning Lab session led by @SarthakPati, @ujjwalbaid0408, @evancalabrese starting soon at #RSNA2023. @MLCommons
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
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
Keynote by Patrick Foley from @intel at the DeCaF workshop of #MICCAI2023 calling out the @FeTS_AI initiative. @SpyridonBakas @IUMedSchool
The Federated Tumor Segmentation Tool (including BraTS-winning algorithms + FeTS Consensus Models) is now available as a Docker: github.com/FeTS-AI/Front-…
📢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.
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.
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/s4225… #machinelearning #ArtificialIntelligence #medperf #HealthcareInnovation #HealthTech
Meeting Lee Cooper and discussing histopathology on the boat at #Lipari
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
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/s4417…
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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FeTS Challenge @FeTS_Challenge
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Prashant Shah @prashantpdx
193 Followers 876 Following I'm not active on Twitter anymore. Follow me on @sprashant.bsky.social
Juli Klemm @jklemm
672 Followers 277 Following Program Director in the NCI Center for Strategic Scientific Initiatives. Views are my own.
Sarthak Pati @SarthakPati
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Intel AI @IntelAI
29K Followers 432 Following Bringing AI everywhere, from the cloud and data center to the edge and PC. Intel® AI can transform your business strategy, performance, and value.
BraTS @BraTS_challenge
745 Followers 31 Following Official page of the International BraTS challenge.
CBICA Announcements @CBICAannounce
373 Followers 88 Following The Center for Biomedical Image Computing and Analytics (CBICA) is devoted to the development & application of computational methods to clinical research.









