Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint-Reference-Cited by-同舟云学术

Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint

Author:

Jiang Caiwen¹^ORCID,Pan Yongsheng¹^ORCID,Cui Zhiming¹^ORCID,Nie Dong²^ORCID,Shen Dinggang³^ORCID

Affiliation:

1. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

2. Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

3. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China,

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Key Research and Development Program of Guangdong Province, China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference65 articles.

2. TotalSegmentator: Robust segmentation of 104 anatomical structures in CT images;wasserthal;arXiv 2208 05868,2022

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