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FFT multichannel interpolation and application to image super-resolution Journal article
Cheng,Dong, Kou,Kit Ian. FFT multichannel interpolation and application to image super-resolution[J]. Signal Processing, 2019, 162, 21-34.
Authors:  Cheng,Dong;  Kou,Kit Ian
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:3.4/3.8 | Submit date：2021/03/11
Error Analysis  Hilbert Transform  Image Super-resolution  Multichannel Interpolation  Sampling Theorem  Signal Reconstruction  
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction Journal article
Liu, Chang, Wu, Xi, Yu, Xi, Tang, YuanYan, Zhang, Jian, Zhou, JiLiu. Fusing multi-scale information in convolution network for MR image super-resolution reconstruction[J]. BIOMEDICAL ENGINEERING ONLINE, 2018, 17.
Authors:  Liu, Chang;  Wu, Xi;  Yu, Xi;  Tang, YuanYan;  Zhang, Jian; et al.
Favorite | TC[WOS]:29 TC[Scopus]:31  IF:2.9/3.5 | Submit date：2018/10/30
Super-resolution Reconstruction  Multi-scale Information Fusion  Convolution Network  Magnetic Resonance Imaging  
Super resolution reconstruction of brain MR image based on convolution sparse network Conference paper
Liu C., Wu X., Tang Y.Y., Yu X., Zhao W., Zhang L.. Super resolution reconstruction of brain MR image based on convolution sparse network[C], 2017, 275-278.
Authors:  Liu C.;  Wu X.;  Tang Y.Y.;  Yu X.;  Zhao W.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2019/02/11
Convolution Neural Network  Magnetic Resonance Image  Super Resolution Reconstruction