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Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach

Crossref DOI link: https://doi.org/10.1007/s00586-024-08409-0

Published Online: 2024-07-15

Published Print: 2024-08

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

Authors

Tao, Qiuying https://orcid.org/0000-0002-2207-8576
Wang, Kaiyu https://orcid.org/0000-0002-9300-7265
Wen, Baohong https://orcid.org/0000-0003-4566-7565
Kang, Yimeng https://orcid.org/0000-0002-7598-9066
Dang, Jinghan https://orcid.org/0009-0001-6460-6533
Sun, Jieping https://orcid.org/0009-0000-1119-3694
Niu, Xiaoyu https://orcid.org/0000-0002-5056-3878
Zhang, Mengzhe https://orcid.org/0000-0001-7796-2580
Liu, Zijun https://orcid.org/0009-0002-8794-3476
Wang, Weijian https://orcid.org/0000-0001-9691-6395
Zhang, Yong https://orcid.org/0000-0003-4892-6614
Cheng, Jingliang https://orcid.org/0000-0002-6996-329X
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Text and Data Mining valid from 2024-07-15

Version of Record valid from 2024-07-15
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Article History

Received: 20 October 2023

Revised: 5 March 2024

Accepted: 9 July 2024

First Online: 15 July 2024

Declarations

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: The datasets generated or analyzed during the study are included in this published article and its supplement.

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