3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis-Reference-Cited by-同舟云学术

3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis

Published:2022-08 Issue:8 Volume:41 Page:2092-2104
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhou Yang¹^ORCID,Yang Zhiwen¹^ORCID,Zhang Hui²,Chang Eric I-Chao³,Fan Yubo¹^ORCID,Xu Yan¹^ORCID

Affiliation:

1. State Key Laboratory of Software Development Environment, Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Research Institute of Beihang University in Shenzhen, Beihang University, Beijing, China

2. Department of Biomedical Engineering, Tsinghua University, Beijing, China

3. Microsoft Research, Beijing, China

Funder

National Science and Technology Major Project of the Ministry of Science and Technology in China

National Natural Science Foundation of China

SinoUnion Healthcare Inc., under the eHealth Program

Fundamental Research Funds for the Central Universities of China from the State Key Laboratory of Software Development Environment in Beihang University in China

111 Project in China

High Performance Computing (HPC) Resources at Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/9847115/09727148.pdf?arnumber=9727148

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