most citedDual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

4 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2021★ 2 cited

TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

Dayang Wang, Zhan Wu, Hengyong Yu

Low dose computed tomography is a mainstream for clinical applications. How-ever, compared to normal dose CT, in the low dose CT (LDCT) images, there are stronger noise and more ar…

physics.med-ph2020★ 4 cited

Dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

Tianling Lyu, Zhan Wu, Yikun Zhang +3

Dual-energy computed tomography (DECT) is of great significance for clinical practice due to its huge potential to provide material-specific information. However, DECT scanners are…