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Deep learning-based imaging reconstruction for MRI after neoadjuvant chemoradiotherapy for rectal cancer: effects on image quality and assessment of treatment response

Crossref DOI link: https://doi.org/10.1007/s00261-022-03701-3

Published Online: 2022-10-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Bona https://orcid.org/0000-0001-8281-3897
Lee, Chul-min https://orcid.org/0000-0001-7621-3377
Jang, Jong Keon https://orcid.org/0000-0002-2938-6635
Kim, Jihun https://orcid.org/0000-0002-8694-4365
Lim, Seok-Byung https://orcid.org/0000-0001-8824-4808
Kim, Ah Young https://orcid.org/0000-0003-2527-0560
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Text and Data Mining valid from 2022-10-19

Version of Record valid from 2022-10-19
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Article History

Received: 13 August 2022

Revised: 1 October 2022

Accepted: 3 October 2022

First Online: 19 October 2022

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

: This retrospective study was approved by the institutional review board in our center, and the requirement for written informed consent was waived.

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