From: NeurIPS.cc/2021/Workshop/Deep_Inverse/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper proposes using a 3-way split (train-test-val) of available k-space measurements for zero-shot MRI reconstruction to establish a stopping criterion in order to avoid overfitting to the single sample. The proposed technique is an extension of an existing 2-way split self-supervised reconstruction algorithm. The methodology for transfer learning experiments is unclear (was the source model pre-trained on the same dataset that includes the sample to be reconstructed?). I recommend changing 'database' to 'dataset' in the paper which might be more standard for NeurIPS community.