Computing and Mathematical Sciences student Zihui (Ray) Wu has won the Best Paper Award at the ML4Health Conference. The paper is titled "End-to-End Sequential Sampling and Reconstruction for MR Imaging", and studies how to use learning to jointly co-optimize both sensing and reconstruction for costly imaging tasks such as MRI.
Written by
Briana Ticehurst
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