Auh QS - Search Results

1

Author Correction: Automatic detection and visualization of temporomandibular joint effusion with deep neural network.

Lee YH, Jeon S, Won JH, Auh QS, Noh YK. Lee YH, et al. Among authors: auh qs. Sci Rep. 2024 Dec 17;14(1):30535. doi: 10.1038/s41598-024-83143-7. Sci Rep. 2024. PMID: 39690195 Free PMC article. No abstract available.

2

Age-group determination of living individuals using first molar images based on artificial intelligence.

Kim S, Lee YH, Noh YK, Park FC, Auh QS. Kim S, et al. Among authors: auh qs. Sci Rep. 2021 Jan 13;11(1):1073. doi: 10.1038/s41598-020-80182-8. Sci Rep. 2021. PMID: 33441753 Free PMC article.

3

Author Correction: Age-group determination of living individuals using first molar images based on artificial intelligence.

Kim S, Lee YH, Noh YK, Park FC, Auh QS. Kim S, et al. Among authors: auh qs. Sci Rep. 2022 Feb 7;12(1):2332. doi: 10.1038/s41598-022-06543-7. Sci Rep. 2022. PMID: 35132161 Free PMC article. No abstract available.

4

Comparison of sleep quality deterioration by subgroup of painful temporomandibular disorder based on diagnostic criteria for temporomandibular disorders.

Lee YH, Auh QS. Lee YH, et al. Among authors: auh qs. Sci Rep. 2022 May 30;12(1):9026. doi: 10.1038/s41598-022-12976-x. Sci Rep. 2022. PMID: 35637258 Free PMC article.

5

Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.

Lee YH, Won JH, Kim S, Auh QS, Noh YK. Lee YH, et al. Among authors: auh qs. Sci Rep. 2022 Jul 5;12(1):11352. doi: 10.1038/s41598-022-15231-5. Sci Rep. 2022. PMID: 35790841 Free PMC article.

6

Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms.

Lee YH, Won JH, Auh QS, Noh YK. Lee YH, et al. Among authors: auh qs. Sci Rep. 2022 Jul 9;12(1):11703. doi: 10.1038/s41598-022-15691-9. Sci Rep. 2022. PMID: 35810213 Free PMC article.

7

Clinical factors affecting depression in patients with painful temporomandibular disorders during the COVID-19 pandemic.

Lee YH, Auh QS. Lee YH, et al. Among authors: auh qs. Sci Rep. 2022 Aug 29;12(1):14667. doi: 10.1038/s41598-022-18745-0. Sci Rep. 2022. PMID: 36038574 Free PMC article.

8

Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning.

Lee YH, Won JH, Auh QS, Noh YK, Lee SW. Lee YH, et al. Among authors: auh qs. Sci Rep. 2024 Feb 10;14(1):3423. doi: 10.1038/s41598-024-54120-x. Sci Rep. 2024. PMID: 38341514 Free PMC article.

9

Automatic detection and visualization of temporomandibular joint effusion with deep neural network.

Lee YH, Jeon S, Won JH, Auh QS, Noh YK. Lee YH, et al. Among authors: auh qs. Sci Rep. 2024 Aug 14;14(1):18865. doi: 10.1038/s41598-024-69848-9. Sci Rep. 2024. PMID: 39143180 Free PMC article.

10

Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learning.

Lee YH, Jeon S, Auh QS, Chung EJ. Lee YH, et al. Among authors: auh qs. Sci Rep. 2024 Aug 21;14(1):19362. doi: 10.1038/s41598-024-70432-4. Sci Rep. 2024. PMID: 39169169 Free PMC article.

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