SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric

no code implementations • NeurIPS Workshop Deep_Invers 2021 • Philip M Adamson, Beliz Gunel, Jeffrey Dominic, Arjun D Desai, Daniel Spielman, Shreyas Vasanawala, John M. Pauly, Akshay Chaudhari

Self-supervised learning (SSL) has become a popular pre-training tool due to its ability to capture generalizable and domain-specific feature representations of the underlying data for downstream tasks.

MRI Reconstruction Self-Supervised Learning +1