most citedSRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 2 cited

SRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data

Jiaxin Xiao, Zihan Li, Berkin Bilgic +3

Neural network (NN) based approaches for super-resolution MRI typically require high-SNR high-resolution reference data acquired in many subjects, which is time consuming and a bar…

cs.AR2022

SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG

Chao Zhang, Zijian Tang, Taoming Guo +5

This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG). A bias-driven p…