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Editorial
. 2023 Jan;66(1):1-2.
doi: 10.3340/jkns.2022.0279. Epub 2022 Dec 30.

Editors' Pick in January 2023

Hee-Jin Yang  1 , Sang-Dae Kim  2 , In Bok Chang  3
Affiliations
Editorial

Editors' Pick in January 2023

Hee-Jin Yang et al. J Korean Neurosurg Soc. 2023 Jan.
No abstract available

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Conflict of interest statement

Conflicts of interest

No other potential conflict of interest relevant to this article was reported.

References

    1. Ahn JH, Kim HC, Rhim JK, Park JJ, Sigmund D, Park MC, et al. Multiview convolutional neural networks in rupture risk assessment of small, unruptured intracranial aneurysms. J Pers Med. 2021;11:239. - PMC - PubMed
    1. Jeong TS, Yee GT, Kim KG, Kim YJ, Lee SG, Kim WK. Automatically diagnosing skull fractures using an object detection method and deep learning algorithm in plain radiography images. J Korean Neurosurg Soc. 2023;66:53–62. - PMC - PubMed
    1. Kim HC, Rhim JK, Ahn JH, Park JJ, Moon JU, Hong EP, et al. Machine learning application for rupture risk assessment in small-sized intracranial aneurysm. J Clin Med. 2019;8:683. - PMC - PubMed
    1. Seo SH, Hwang K, Ji SY, Han JH, Kim CY. Surgical management and long-term results of rathke’s cleft cyst. J Korean Neurosurg Soc. 2023;66:82–89. - PMC - PubMed

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