Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction

Lv, J; Zhu, J; Yang, G

Lv, J (corresponding author), Yantai Univ, Sch Comp & Control Engn, Yantai, Peoples R China.; Yang, G (corresponding author), Royal Brompton Hosp, Cardiovasc Res Ctr, London SW3 6NP, England.; Yang, G (corresponding author), Imperial Coll London, Natl Heart & Lung Inst, London SW7 2AZ, England.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2021; 379 (2200):

Abstract

Fast magnetic resonance imaging (MRI) is crucial for clinical applications that can alleviate motion artefacts and increase patient throughput. K-spac......

Full Text Link


Links

期刊讨论 | 中国SCI论文 | 期刊主页 | 投稿经验 | 杂志官网 | 投稿链接 | 作者需知 | PMC链接 | Pubmed全文检索