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Abstract #3531

Analysis of Deep Learning models for Diagnostic Image Quality Assessment in Magnetic Resonance Imaging. 

Jeffrey Ma1, Ukash Nakarmi1, Cedric Yue Sik Kin1, Joseph Y. Cheng1, Christopher Sandino2, Ali B Syed1, Peter Wei1, John M. Pauly2, and Shreyas S Vasanawala1
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States

In this abstract we investigate deep learning frameworks for medical image quality assessment and automatic classification of diagnostic and non-diagnostic quality images.

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