2.13 Retina and retinal nerve fibre layer (237)

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82494 Profile of retinal nerve fibre layer symmetry in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study
Tao Y
British Journal of Ophthalmology 2019; 0:
82393 Topographic correlation and asymmetry analysis of ganglion cell layer thinning and the retinal nerve fiber layer with localized visual field defects
Casado A
PLoS ONE 2019; 14: e0222347
82185 Location of Retinal Nerve Fiber Layer Defects in Open-angle Glaucoma and Associated Factors
Kim HU
Korean Journal of Ophthalmology 2019; 33: 379-385
82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Chiquet C
Acta Ophthalmologica 2020; 98: e88-e93
82039 Temporal change of retinal nerve fiber layer reflectance speckle in normal and hypertensive retinas
Huang XR
Experimental Eye Research 2019; 186: 107738
82299 Effect of Foveal Location on Retinal Nerve Fiber Layer Thickness Profile in Superior Oblique Palsy Eyes
Akbari M
Journal of Glaucoma 2019; 28: 916-921
82557 Assessment of Ganglion Cell Complex and Peripapillary Retinal Nerve Fiber Layer Changes following Cataract Surgery in Patients with Pseudoexfoliation Glaucoma
Abdelghany AA
Journal of Ophthalmology 2019; 2019: 8162825
82764 Does Retinal Ganglion Cell Loss Precede Visual Field Loss in Glaucoma?
Hood DC
Journal of Glaucoma 2019; 28: 945-951
82707 Potential Impact of DARC Technology in Neuroprotective Therapies
Pahlitzsch M
Klinische Monatsblätter für Augenheilkunde 2020; 237: 140-142
82618 Within-subject variability in human retinal nerve fiber bundle width
Swanson WH
PLoS ONE 2019; 14: e0223350
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0:
81842 Diagnostic Capability of 3D Peripapillary Retinal Volume for Glaucoma Using Optical Coherence Tomography Customized Software
Liu Y
Journal of Glaucoma 2019; 28: 708-717
82723 Qualitative evaluation of neuroretinal rim and retinal nerve fibre layer on optical coherence tomography to detect glaucomatous damage
Wu Z
British Journal of Ophthalmology 2019; 0:
82531 Diurnal Stability Of Peripapillary Vessel Density And Nerve Fiber Layer Thickness On Optical Coherence Tomography Angiography In Healthy, Ocular Hypertension And Glaucoma Eyes
Bochicchio S
Clinical Ophthalmology 2019; 13: 1823-1832
82610 Influence of Epiretinal Membranes on the Retinal Nerve Fiber Layer Thickness Measured by Spectral Domain Optical Coherence Tomography in Glaucoma
Kim JM
Korean Journal of Ophthalmology 2019; 33: 422-429
82340 Characteristics of Patients Showing Discrepancy Between Bruch's Membrane Opening-Minimum Rim Width and Peripapillary Retinal Nerve Fiber Layer Thickness
Cho HK
Journal of clinical medicine 2019; 8:
82394 OCT Angiography: Measurement of Retinal Macular Microvasculature with Spectralis II OCT Angiography - Reliability and Reproducibility
Hosari S
Ophthalmologica 2020; 243: 75-84
82063 An Examination of the Frequency of Paravascular Defects and Epiretinal Membranes in Eyes With Early Glaucoma Using En-face Slab OCT Images
Mavrommatis MA
Journal of Glaucoma 2019; 0:
82523 Structure-function Relationship in Advanced Glaucoma After Reaching the RNFL Floor
Sung MS
Journal of Glaucoma 2019; 28: 1006-1011
82674 Structural evaluation of preperimetric and perimetric glaucoma
Deshpande G
Indian Journal of Ophthalmology 2019; 67: 1843-1849
82686 Tetrahedral framework nucleic acids prevent retina ischemia-reperfusion injury from oxidative stress via activating the Akt/Nrf2 pathway
Qin X
Nanoscale 2019; 11: 20667-20675
82305 The correlation between the thickness of the inner macular layers and the mean deviation of the visual field in children with primary congenital glaucoma
Nieves-Moreno M
Archivos de la Sociedad Española de Oftalmologia 2019; 94: 536-539
82364 Analysis of the Optic Disc and Peripapillary Structures in Monozygotic Twins
Park DY
Journal of Glaucoma 2019; 28: 969-973
82088 Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE 2019; 14: e0220132
82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica 2020; 98: e94-e100

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