Rising role of artificial intelligence in image reconstruction for biomedical imaging
Xue-Li Chen, Tian-Yu Yan, Nan Wang, Karen M von Deneen, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an 710126, Shaanxi Province, China
Author contributions: Chen XL designed the overall outline of the manuscript; Yan TY and Wang N performed the literature review and summary; Chen XL contributed to the writing and editing of the manuscript; von Deneen KM polished the language of the paper.
Supported by The National Key R& D Program of China, No. 2018YFC0910600; the National Natural Science Foundation of China No. 81627807 and 11727813; Shaanxi Science Funds for Distinguished Young Scholars, No. 2020JC-27; the Fok Ying Tung Education Foundation, No. 161104; and Program for the Young Top-notch Talent of Shaanxi Province.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Xue-Li Chen, PhD, Professor, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, No. 266, Xinglong Section of Xifeng Road, Xi’an 710126, Shaanxi Province, China. email@example.com
Received: May 7, 2020
Peer-review started: May 7, 2020
First decision: May 15, 2020
Revised: June 9, 2020
Accepted: June 17, 2020
Article in press: June 17, 2020
Published online: June 28, 2020