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

no code implementations • 10 Nov 2022 • Jiaxin Xiao, Zihan Li, Berkin Bilgic, Jonathan R. Polimeni, Susie Huang, Qiyuan Tian

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 barrier to feasible and accessible implementation.

Denoising Super-Resolution

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

no code implementations • 3 Sep 2022 • Chao Zhang, Zijian Tang, Taoming Guo, Jiaxin Lei, Jiaxin Xiao, Anhe Wang, Shuo Bai, Milin Zhang

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

Clustering EEG +2