Li, Yu
Sun, Xueqin
Wang, Sukai
Qin, Yingwei
Pan, Jinxiao
Chen, Ping https://orcid.org/0000-0003-0684-9665
Funding for this research was provided by:
Provincial Natural Science Foundation of Shanxi (20210302124190)
National Nature Science Foundation of China (U23A20285)
State Key Laboratory of Dynamic Measurement Technology, North University of China (2022-SYSJJ-08)
Article Title: Generation model meets swin transformer for unsupervised low-dose CT reconstruction
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-12-19
Date Accepted: 2024-03-22
Online publication date: 2024-04-04