FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution-Reference-Cited by-同舟云学术

FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution

Published:2021-09 Issue: Volume:92 Page:101969
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Jiang Mingfeng,Zhi Minghao,Wei Liying,Yang Xiaocheng,Zhang Jucheng,Li Yongming,Wang Pin,Huang Jiahao^ORCID,Yang Guang^ORCID

Funder

UK Research and Innovation

British Heart Foundation

National Natural Science Foundation of China

Innovative Medicines Initiative

European Research Council

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference43 articles.

1. Retrospective correction of rigid and Non-rigid MR motion artifacts using GANs;Armanious,2019

2. Attention augmented convolutional networks;Bello,2019

3. Learning a deep convolutional network for image super-resolution;Dong,2014

4. Learning a deep convolutional network for image super-resolution;Dong,2014

5. Image super-resolution using deep convolutional networks;Dong;IEEE Trans. Pattern Anal. Mach. Intell.,2016

Cited by 72 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization test function synthesis with generative adversarial networks and adaptive neuro-fuzzy systems;Information Sciences;2025-01

2. C2 LOG-GAN: Concave convex and local global attention based generative adversarial network for super resolution MRI reconstruction;Biomedical Signal Processing and Control;2024-10

3. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion;Artificial Intelligence in Medicine;2024-09

4. Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution;IEEE Transactions on Neural Networks and Learning Systems;2024-09

5. CytoGAN: Unpaired staining transfer by structure preservation for cytopathology image analysis;Computers in Biology and Medicine;2024-09