Work

Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction

Year: 2024

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2024.3395348

Authors: Jianjia Zhang, Haiyang Mao, Dingyue Chang, Hengyong Yu, Weiwen Wu, Dinggang Shen

Institutions: Sun Yat-sen University, China Academy of Engineering Physics, University of Massachusetts Lowell, ShanghaiTech University, United Imaging Intelligence (China)

Language: English

Topic: Advanced X-ray and CT Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1277628216, G1814629215, G2577808569, G2690246104, G5503080200, G7301348781, G8550767882, G952677848

OpenAlex ID: W4396523237

FWCI: 1.047

Cites: 60

Cited by: 10

Related to: 10