Open Access
ARTICLE
A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network
1 Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin, 150080, China
2 Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China
3 Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
* Corresponding Author: Xin Yang. Email: