고정된 트윗
The largest #FederatedLearning study to date. 71 medical institutions across 6 continents. Stay tuned for more.
arxiv.org/abs/2204.10836
@CBICAannounce @FeTS_Challenge @PennRadiology @PennMedicine @SpyridonBakas
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Federated Tumor Segmentation (FeTS) Initiative
83 posts
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.
Philadelphia, PA 가입일 Ağustos 2020
11 팔로잉156 팔로워
Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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…
GIF
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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 리트윗함
🌟 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 리트윗함
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
Sarthak Pati@SarthakPati
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: #Sec4" target="_blank" rel="nofollow noopener">nature.com/articles/s4417…
This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org English
Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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: #Sec4" target="_blank" rel="nofollow noopener">nature.com/articles/s4417…
This recognition for our work is truly humbling 🙌. #GaNDLF #NatComEng #EditorChoice Find out more at gandlf.org English
Federated Tumor Segmentation (FeTS) Initiative 리트윗함
Happy end of the year indeed! 🎉 Thrilled to share that GaNDLF was featured as an editor's choice in Nature @CommsEng: #Sec4" target="_blank" rel="nofollow noopener">nature.com/articles/s4417…
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 리트윗함
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 리트윗함
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 리트윗함
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 리트윗함
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-…
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
📢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
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.
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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
Lipari, Sicily 🇮🇹 English
Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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. nature.com/articles/s4417…
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Federated Tumor Segmentation (FeTS) Initiative 리트윗함
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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