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

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2022

Masked Autoencoders for Low dose CT denoising

Dayang Wang, Yongshun Xu, Shuo Han +1

Low-dose computed tomography (LDCT) reduces the X-ray radiation but compromises image quality with more noises and artifacts. A plethora of transformer models have been developed r…

cs.CV2022★ 2 cited

SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction

Dayang Wang, Boce Zhang, Yongshun Xu +2

Packaged fresh-cut lettuce is widely consumed as a major component of vegetable salad owing to its high nutrition, freshness, and convenience. However, enzymatic browning discolora…

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…