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For: Lopes FS, Matsubara I, Almeida I, Dorairaj SK, Vessani RM, Paranhos A Jr, Prata TS. Structure-function relationships in glaucoma using enhanced depth imaging optical coherence tomography-derived parameters: a cross-sectional observational study. BMC Ophthalmol 2019;19:52. [PMID: 30770751 DOI: 10.1186/s12886-019-1054-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Christopher M, Bowd C, Belghith A, Goldbaum MH, Weinreb RN, Fazio MA, Girkin CA, Liebmann JM, Zangwill LM. Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps. Ophthalmology 2020;127:346-56. [PMID: 31718841 DOI: 10.1016/j.ophtha.2019.09.036] [Cited by in Crossref: 35] [Cited by in F6Publishing: 27] [Article Influence: 11.7] [Reference Citation Analysis]
2 Cho HK, Kee C. Comparison of Rate of Change between Bruch's Membrane Opening Minimum Rim Width and Retinal Nerve Fiber Layer in Eyes Showing Optic Disc Hemorrhage. Am J Ophthalmol 2020;217:27-37. [PMID: 32283093 DOI: 10.1016/j.ajo.2020.03.051] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
3 Xiong J, Li F, Song D, Tang G, He J, Gao K, Zhang H, Cheng W, Song Y, Lin F, Hu K, Wang P, Olivia Li JP, Aung T, Qiao Y, Zhang X, Ting D. Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy. Ophthalmology 2021:S0161-6420(21)00565-0. [PMID: 34339778 DOI: 10.1016/j.ophtha.2021.07.032] [Reference Citation Analysis]
4 Cho HK, Kee C. Characteristics of Patients Showing Discrepancy Between Bruch's Membrane Opening-Minimum Rim Width and Peripapillary Retinal Nerve Fiber Layer Thickness. J Clin Med 2019;8:E1362. [PMID: 31480634 DOI: 10.3390/jcm8091362] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
5 El Basty A, Gaber R, Elmaria A, Sabry M, Hussein TR. Correlation Between Changes in Lamina Cribrosa Structure and Visual Field in Primary Open-Angle Glaucoma. Clin Ophthalmol 2021;15:4715-22. [PMID: 34949912 DOI: 10.2147/OPTH.S343019] [Reference Citation Analysis]
6 Rocha JAG, Dias DT, Lemos MBC, Kanadani FN, Paranhos A Jr, Gracitelli CPB, Prata TS. Optic Nerve Head Hemoglobin Levels in Glaucoma: A Structural and Functional Correlation Study. J Ophthalmol 2021;2021:9916102. [PMID: 34659827 DOI: 10.1155/2021/9916102] [Reference Citation Analysis]
7 Andrade JCF, Kanadani FN, Furlanetto RL, Lopes FS, Ritch R, Prata TS. Elucidation of the role of the lamina cribrosa in glaucoma using optical coherence tomography. Surv Ophthalmol 2021:S0039-6257(21)00031-X. [PMID: 33548238 DOI: 10.1016/j.survophthal.2021.01.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Celebi ARC, Park EA, Verticchio Vercellin AC, Tsikata E, Lee R, Shieh E, Antar H, Freeman M, Zhang J, Que C, Simavli H, McClurkin M, Guo R, Elze T, de Boer JF, Chen TC. Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans. Transl Vis Sci Technol 2021;10:28. [PMID: 34019635 DOI: 10.1167/tvst.10.6.28] [Reference Citation Analysis]