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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