Work

Magnetic resonance image denoising for Rician noise using a novel hybrid transformer‐CNN network (HTC‐net) and self‐supervised pretraining

Year: 2024

Type: article

Source: Medical Physics

DOI: 10.1002/mp.17562

Authors: Shengjie Shi, Cheng Wang, Sa Xiao, Haidong Li, Xiuchao Zhao, Fumin Guo, Lei Shi, Xin Zhou

Institutions: Wuhan Institute of Physics and Mathematics, Wuhan National Laboratory for Optoelectronics, Innovation Academy for Precision Measurement Science and Technology, CAS, Huazhong University of Science and Technology, Yangtze University, University of Chinese Academy of Sciences, Hainan University

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Hubei Province, National Key Research and Development Program of China

Awards: G4118492077, G59208991, G6156610561, G7060559012, G8358754598, G930103520

OpenAlex ID: W4405106560

FWCI: 1.82

Cites: 43

Cited by: 13

Related to: 10