Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning

25 April 2022

Papers citing "Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning"

5 / 5 papers shown

Title
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 176 3,740 0 01 Sep 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 105 4,333 0 08 Jul 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,325 0 24 Feb 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,247 0 25 Jul 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 340 5,243 0 16 Sep 2016