Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based methods have been shown to produce superior performance on MR image reconstruction. However, these methods require large amounts...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Ročník 2021; s. 2423 - 2432
Hlavní autori:	Guo, Pengfei, Wang, Puyang, Zhou, Jinyuan, Jiang, Shanshan, Patel, Vishal M.
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2021
Predmet:	Collaboration Collaborative work Data models Data privacy Magnetic resonance Protocols Sensor phenomena and characterization
ISSN:	1063-6919, 1063-6919
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