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7/10/2020 6:02:07 AM | Browse: 386 | Download: 1083
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Received |
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2020-05-07 10:32 |
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Peer-Review Started |
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2020-05-07 10:33 |
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To Make the First Decision |
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Return for Revision |
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2020-05-15 02:08 |
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Revised |
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2020-06-09 08:43 |
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Second Decision |
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2020-06-16 09:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-06-16 22:53 |
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Articles in Press |
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2020-06-16 22:53 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-06-22 20:25 |
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Typeset the Manuscript |
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2020-07-03 02:12 |
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Publish the Manuscript Online |
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2020-07-10 05:53 |
ISSN |
2644-3260 (online) |
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/ |
Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Engineering, Biomedical |
Manuscript Type |
Editorial |
Article Title |
Rising role of artificial intelligence in image reconstruction for biomedical imaging
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Manuscript Source |
Invited Manuscript |
All Author List |
Xue-Li Chen, Tian-Yu Yan, Nan Wang and Karen M von Deneen |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
National Key R&D Program of China |
2018YFC0910600 |
National Natural Science Foundation of China (Major Program) |
81627807 |
National Natural Science Foundation of China (Major Program) |
11727813 |
Shaanxi Science Funds for Distinguished Young Scholars |
2020JC-27 |
Fok Ying Tung Education Foundation |
161104 |
Program for the Young Top-notch Talent of Shaanxi Province |
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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, 266 Xinglong Section of Xifeng Road, Xi’an 710126, Shaanxi Province, China. xlchen@xidian.edu.cn |
Key Words |
Biomedical imaging; Image reconstruction; Artificial intelligence; Machine learning; Deep learning; Tomography |
Core Tip |
Three-dimensional biomedical imaging plays an important role in biology and medicine. We review recent progress on the applications of artificial intelligence (AI) in image reconstruction for biomedical imaging. We specifically focus on how to use AI technology to improve the performance of biomedical image reconstruction, and prospect possible future directions in this field. We believe that, with further development, AI technology will play an increasingly important role in biomedical image reconstruction. |
Publish Date |
2020-07-10 05:53 |
Citation |
Chen XL, Yan TY, Wang N, von Deneen KM. Rising role of artificial intelligence in image reconstruction for biomedical imaging. Artif Intell Med Imaging 2020; 1(1): 1-5 |
URL |
https://www.wjgnet.com/2644-3260/full/v1/i1/1.htm |
DOI |
https://dx.doi.org/10.35711/aimi.v1.i1.1 |
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