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References from Quantification of Nonperfusion Area in Montaged Widefield OCT Angiography Using Deep Learning in Diabetic Retinopathy. Local targets link to admitted publications; unresolved targets remain external evidence.
Diabetic retinopathy severity and peripheral lesions are associated with nonperfusion on ultrawide field angiography
10.1016/j.ophtha.2015.07.034 · 2015 · External reference
Ultra-wide-field angiography improves the detection and classification of diabetic retinopathy
10.1097/iae.0b013e3182278b64 · 2012 · External reference
Quantification of retinal capillary nonperfusion in diabetics using wide-field optical coherence tomography angiography
10.1097/iae.0000000000002403 · 2020 · External reference
Optical coherence tomography angiography quality across three multicenter clinical studies of diabetic retinopathy
10.1167/tvst.10.3.2 · 2021 · External reference
Comparison between wide-angle OCT angiography and ultra-wide field fluorescein angiography for detecting non-perfusion areas and retinal neovascularization in eyes with diabetic retinopathy
10.1007/s00417-018-3992-y · 2018 · External reference
Ultra-wide optical coherence tomography angiography in diabetic retinopathy
10.21037/qims.2018.09.02 · 2018 · External reference
Diabetic nonperfused areas in macular and extramacular regions on wide-field optical coherence tomography angiography
10.1167/iovs.18-25108 · 2018 · External reference
Evaluation of retinal nonperfusion in branch retinal vein occlusion using wide-field optical coherence tomography angiography
10.1111/aos.14087 · 2019 · External reference
MEDnet, a neural network for automated detection of avascular area in OCT angiography
10.1364/boe.9.005147 · 2018 · External reference
Development and validation of a deep learning algorithm for distinguishing the nonperfusion area from signal reduction artifacts on OCT angiography
10.1364/boe.10.003257 · 2019 · External reference
Split-spectrum amplitude-decorrelation angiography with optical coherence tomography
10.1364/oe.20.004710 · 2012 · External reference
Grading diabetic retinopathy from stereoscopic color fundus photographs—an extension of the modified Airlie House classification: ETDRS report number 10
10.1016/s0161-6420(13)38012-9 · 1991 · External reference
Automated segmentation of retinal layer boundaries and capillary plexuses in wide-field optical coherence tomographic angiography
10.1364/boe.9.004429 · 2018 · External reference
Maximum value projection produces better en face OCT angiograms than mean value projection
10.1364/boe.9.006412 · 2018 · External reference
Inception-v4, inception-resnet and the impact of residual connections on learning. In: Thirty-First AAAI Conference on Artificial Intelligence.
10.1609/aaai.v31i1.11231 · 2017 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
Invariant features-based automated registration and montage for wide-field OCT angiography
10.1364/boe.10.000120 · 2019 · External reference
The quantitative measurements of foveal avascular zone using optical coherence tomography angiography in normal volunteers
2017 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Note on the sampling error of the difference between correlated proportions or percentages
10.1007/bf02295996 · 1947 · External reference
Better bootstrap confidence intervals
10.1080/01621459.1987.10478410 · 1987 · External reference
Nonperfusion area quantification in branch retinal vein occlusion
10.1097/iae.0000000000002999 · 2021 · External reference
Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography
10.1117/1.jbo.21.6.066008 · 2016 · External reference
Automated quantification of capillary nonperfusion using optical coherence tomography angiography in diabetic retinopathy
10.1001/jamaophthalmol.2015.5658 · 2016 · External reference
Ultra-widefield protocol enhances automated classification of diabetic retinopathy severity with OCT angiography
10.1016/j.oret.2019.10.018 · 2020 · External reference
Quantitative microvascular analysis with wide-field optical coherence tomography angiography in eyes with diabetic retinopathy
10.1001/jamanetworkopen.2019.19469 · 2020 · External reference
Artificial intelligence in OCT angiography
10.1016/j.preteyeres.2021.100965 · 2021 · External reference
Automated detection of shadow artifacts in optical coherence tomography angiography
10.1364/boe.10.001514 · 2019 · External reference
Quantitative OCT angiography of optic nerve head blood flow
10.1364/boe.3.003127 · 2012 · External reference
Regional comparisons of optical coherence tomography angiography vessel density in primary open-angle glaucoma
10.1016/j.ajo.2016.08.030 · 2016 · External reference
Foveal avascular zone area and parafoveal vessel density measurements in different stages of diabetic retinopathy by optical coherence tomography angiography
2017 · External reference
Detection of reduced retinal vessel density in eyes with geographic atrophy secondary to age-related macular degeneration using projection-resolved optical coherence tomography angiography
10.1016/j.ajo.2019.09.004 · 2020 · External reference
Signal strength reduction effects in OCT angiography
10.1016/j.oret.2019.04.029 · 2019 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · 2016 · External reference
Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
10.1167/iovs.16-19964 · 2016 · External reference
Fundus photographic risk factors for progression of diabetic retinopathy: ETDRS report number 12
10.1016/s0161-6420(13)38014-2 · 1991 · External reference
Quantification of retinal microvascular density in optical coherence tomographic angiography images in diabetic retinopathy
10.1001/jamaophthalmol.2017.0080 · 2017 · External reference
Automated quantification of nonperfusion in three retinal plexuses using projection-resolved optical coherence tomography angiography in diabetic retinopathy
10.1167/iovs.16-19776 · 2016 · External reference
Automated quantification of nonperfusion areas in 3 vascular plexuses with optical coherence tomography angiography in eyes of patients with diabetes
10.1001/jamaophthalmol.2018.2257 · 2018 · External reference
Three-dimensional structural and angiographic evaluation of foveal ischemia in diabetic retinopathy: method and validation
10.1364/boe.10.003522 · 2019 · External reference
Plexus-specific retinal vascular anatomy and pathologies as seen by projection-resolved optical coherence tomographic angiography
10.1016/j.preteyeres.2020.100878 · 2021 · External reference