CBICA Announcements

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CBICA Announcements

CBICA Announcements

@CBICAannounce

The Center for Biomedical Image Computing and Analytics (CBICA) is devoted to the development & application of computational methods to clinical research.

Philadelphia, PA เข้าร่วม Ocak 2017
88 กำลังติดตาม372 ผู้ติดตาม
CBICA Announcements รีทวีตแล้ว
Evan Calabrese, MD PhD
Evan Calabrese, MD PhD@ecalabr·
We recently released a multi-sequence, multi-institution MRI dataset of over 1000 patients with intracranial meningiomas as part of the BraTS meningioma challenge. We also include tumor grade. AI model for predicting meningioma grade? You can build it! rdcu.be/dHZOb
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CBICA Announcements รีทวีตแล้ว
FeTS Challenge
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! synapse.org/#!Synapse:syn5…
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CBICA Announcements รีทวีตแล้ว
dipy
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 🩺✨
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CBICA Announcements รีทวีตแล้ว
IU Division of Computational Pathology
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: #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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CBICA Announcements รีทวีตแล้ว
Sarthak Pati
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
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CBICA Announcements รีทวีตแล้ว
Federated Tumor Segmentation (FeTS) Initiative
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: 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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CBICA Announcements รีทวีตแล้ว
Duke Radiology
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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CBICA Announcements รีทวีตแล้ว
Prashant Shah
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. nature.com/articles/s4417…

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CBICA Announcements รีทวีตแล้ว
Communications Engineering
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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