Gao Z - Search Results

1

End-to-end diabetic retinopathy grading based on fundus fluorescein angiography images using deep learning.

Gao Z, Jin K, Yan Y, Liu X, Shi Y, Ge Y, Pan X, Lu Y, Wu J, Wang Y, Ye J. Gao Z, et al. Graefes Arch Clin Exp Ophthalmol. 2022 May;260(5):1663-1673. doi: 10.1007/s00417-021-05503-7. Epub 2022 Jan 23. Graefes Arch Clin Exp Ophthalmol. 2022. PMID: 35066704

2

Socioeconomic inequality in the global burden of refraction disorders: results from the Global Burden of Diseases Study 2017.

Tang X, Lou L, Xu Y, Jin K, Cao J, Shao J, Gao Z, Yao K. Tang X, et al. Among authors: gao z. Acta Ophthalmol. 2020 Nov;98(7):e864-e869. doi: 10.1111/aos.14391. Epub 2020 Mar 1. Acta Ophthalmol. 2020. PMID: 32115906 Free article.

3

A Novel Automatic Morphologic Analysis of Eyelids Based on Deep Learning Methods.

Cao J, Lou L, You K, Gao Z, Jin K, Shao J, Ye J. Cao J, et al. Among authors: gao z. Curr Eye Res. 2021 Oct;46(10):1495-1502. doi: 10.1080/02713683.2021.1908569. Epub 2021 Jun 14. Curr Eye Res. 2021. PMID: 33827341

4

Attention-based deep learning system for automated diagnoses of age-related macular degeneration in optical coherence tomography images.

Yan Y, Jin K, Gao Z, Huang X, Wang F, Wang Y, Ye J. Yan Y, et al. Among authors: gao z. Med Phys. 2021 Sep;48(9):4926-4934. doi: 10.1002/mp.15002. Epub 2021 Aug 9. Med Phys. 2021. PMID: 34042194

5

Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery.

Lou L, Cao J, Wang Y, Gao Z, Jin K, Xu Z, Zhang Q, Huang X, Ye J. Lou L, et al. Among authors: gao z. Ann Med. 2021 Dec;53(1):2278-2285. doi: 10.1080/07853890.2021.2009127. Ann Med. 2021. PMID: 34844503 Free PMC article.

6

Automated diagnosis of age-related macular degeneration using multi-modal vertical plane feature fusion via deep learning.

Chen M, Jin K, Yan Y, Liu X, Huang X, Gao Z, Wang Y, Wang S, Ye J. Chen M, et al. Among authors: gao z. Med Phys. 2022 Apr;49(4):2324-2333. doi: 10.1002/mp.15541. Epub 2022 Mar 11. Med Phys. 2022. PMID: 35172022

7

Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning.

Gao Z, Pan X, Shao J, Jiang X, Su Z, Jin K, Ye J. Gao Z, et al. Br J Ophthalmol. 2023 Nov 22;107(12):1852-1858. doi: 10.1136/bjo-2022-321472. Br J Ophthalmol. 2023. PMID: 36171054

8

MSHF: A Multi-Source Heterogeneous Fundus (MSHF) Dataset for Image Quality Assessment.

Jin K, Gao Z, Jiang X, Wang Y, Ma X, Li Y, Ye J. Jin K, et al. Among authors: gao z. Sci Data. 2023 May 17;10(1):286. doi: 10.1038/s41597-023-02188-x. Sci Data. 2023. PMID: 37198230 Free PMC article.

9

Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists.

Yan Y, Huang X, Jiang X, Gao Z, Liu X, Jin K, Ye J. Yan Y, et al. Among authors: gao z. Eye (Lond). 2024 Mar;38(4):730-736. doi: 10.1038/s41433-023-02765-9. Epub 2023 Oct 17. Eye (Lond). 2024. PMID: 37848677

10

Automated interpretation of retinal vein occlusion based on fundus fluorescein angiography images using deep learning: A retrospective, multi-center study.

Huang S, Jin K, Gao Z, Yang B, Shi X, Zhou J, Grzybowski A, Gawecki M, Ye J. Huang S, et al. Among authors: gao z. Heliyon. 2024 Jun 19;10(13):e33108. doi: 10.1016/j.heliyon.2024.e33108. eCollection 2024 Jul 15. Heliyon. 2024. PMID: 39027617 Free PMC article.

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