178 citations · 246 across the 4 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
eess.IV2019★ 1 cited
FCN: Fully Channel-Concatenated Network for Single Image Super-Resolution
Xiaole Zhao, Ying Liao, Tian He +3
Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back pr…
cs.CV2019★ 2 cited
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network
Zhao Xiaole, Huali Zhang, Hangfei Liu +3
Spatial resolution is a critical imaging parameter in magnetic resonance imaging (MRI). Acquiring high resolution MRI data usually takes long scanning time and would subject to mot…