Siyu Chen, Shiying Qiu, Haoran Li, Junhua Zhang, Xiaoqi Wu, Wenjie Zeng, Fuquan Huang
An integrated model for predicting pupils' acceptance of artificially intelligent robots as teachers
Education and information technologies
develop assess deep learning dl pipeline learn dynamic mr image reconstruction publicly available natural videos inter4k learning performed range dl architectures varnet 3d unet fastdvdnet corresponding sampling patterns cartesian radial spiral either true multicoil cardiac mr data n 692 synthetic mr data simulated inter4k natural videos n 588 realtime undersampled dynamic mr images reconstructed using dl networks trained cardiac data natural videos compressed sensing cs differences assessed simulations n 104 datasets terms mse psnr ssim prospectively cardiac cine short axis four chambers n 20 speech cine n 10 data terms subjective image quality ranking snr edge sharpness friedman chi square tests posthoc nemenyi analysis performed assess statistical significance simulated data dl networks trained cardiac data outperformed dl networks trained natural videos outperformed cs p 005 however prospective experiments dl reconstructions using training datasets ranked similarly higher cs presented statistical differences snr edge sharpness conditionsthe developed pipeline enabled learning dynamic mr reconstruction natural videos preserving dl reconstruction advantages high quality fast ultrafast reconstructions overcoming limitations data scarcity sharing natural video dataset code pretrained networks made readily available github