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112. Y. Huang, Q. Zhang, M.R. Thorell et al., Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms. Ophthalmic
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(2011)
116. V. Parisi, G. Manni, M. Spadaro, G. Colacino, R. Restuccia et al., Correlation between morphological and functional retinal impairment in multiple sclerosis patients. Invest. Ophthalmol.
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117. V. Pueyo, J. Martin, J. Fernandez, C. Almarcegui, J. Ara et al., Axonal loss in the retinal nerve
fiber layer in patients with multiple sclerosis. Multiple Scler. 14, 609–614 (2008)
118. J. Sepulcre, M. Murie-Fernandez, A. Salinas-Alaman, A. Garcia-Layana, B. Bejarano et al.,
Diagnostic accuracy of retinal abnormalities in predicting disease activity in MS. Neurology
68, 1488–1494 (2007)
119. H. Tegetmeyer, E. Kühn, Quantitative analysis of changes in macular layers following optic
neuritis. Neuro-Ophthalmology 35, 101–107 (2011)
120. B.M. Burkholder, B. Osborne, M.J. Loguidice, E. Bisker, T.C. Frohman et al., Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple
sclerosis. Arch. Neurol. 66, 1366–1372 (2009)
121. S. Saidha, S.B. Syc, M.K. Durbin, C. Eckstein, J.D. Oakley et al., Visual dysfunction in
multiple sclerosis correlates better with optical coherence tomography derived estimates of
macular ganglion cell layer thickness than peripapillary retinal nerve fiber layer thickness.
Multiple Scler. 17(12), 1449–14463 (2011)
D. Cabrera DeBuc et al.
102. J.M. Lopes de Faria, H. Russ, V.P. Costa, Retinal nerve fibre layer loss in patients with type
1 diabetes mellitus without retinopathy. Br. J. Ophthalmol. 86, 725–728 (2002)
103. A. Verma, P.K. Rani, R. Raman et al., Is neuronal dysfunction an early sign of diabetic
retinopathy? Microperimetry and spectral domain optical coherence tomography (SD-OCT)
study in individuals with diabetes, but no diabetic retinopathy. Eye (Lond.) 23, 1824–1830
(2009)
104. Y. Wang, A. Fawzi, O. Tan et al., Retinal blood flow detection in diabetic patients by Doppler
Fourier domain optical coherence tomography. Opt. Express 17, 4061–4073 (2009)
105. H.W. van Dijk, P.H. Kok, M. Garvin et al., Selective loss of inner retinal layer thickness in
type 1 diabetic patients with minimal diabetic retinopathy. Invest. Ophthalmol. Vis. Sci. 50,
3404–3409 (2009)
106. S. Makita, Y. Hong, M. Yamanari, T. Yatagai, Y. Yasuno, Optical coherence angiography.
Opt. Express 14(17), 7821–7840 (2006)
107. R.K. Wang, S. Jackes, Z. Ma et al., Three dimensional optical angiography. Opt. Express 15,
4083–4097 (2007)
108. Y. Yasuno, Y. Hong, S. Makita et al., In vivo high-contrast imaging of deep posterior eye by 1mm swept source optical coherence tomography and scattering optical coherence angiography.
Opt. Express 15, 6121–6139 (2007)
109. Y. Jia, O. Tan, J. Tokayer et al., Split-spectrum amplitude-decorrelation angiography with
optical coherence tomography. Opt. Express 20, 4710–4725 (2012)
110. E. Moult, W. Choi, N.K. Waheed et al., Ultrahigh-speed swept-source OCT angiography in
exudative AMD. Ophthalmic Surg. Lasers Imaging Retina 45(6), 496–505 (2014)
111. M.R. Thorell, Q. Zhang, Y. Huang et al., Swept-source OCT angiography of macular telangiectasia type 2. Ophthalmic Surg. Lasers Imaging Retina 45(5), 369–380 (2014)
112. Y. Huang, Q. Zhang, M.R. Thorell et al., Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms. Ophthalmic
Surg. Lasers Imaging Retina 45(5), 382–389 (2014)
113. T.S. Hwang, Y. Jia, S.S. Gao, S.T. Bailey, A.K. Lauer, C.J. Flaxel, D.J. Wilson, D. Huang,
Optical coherence tomography angiography features of diabetic retinopathy. Retina 35(11),
2371–2376 (2015). https://doi.org/10.1097/iae.0000000000000716
114. E. Silber, M.K. Sharief, Axonal degeneration in the pathogenesis of multiple sclerosis. J.
Neurol. Sci. 170, 11–18 (1999)
115. C. Fjeldstad, M. Bemben, G. Pardo, Reduced retinal nerve fiber layer and macular thickness in
patients with multiple sclerosis with no history of optic neuritis identified by the use of spectral domain high-definition optical coherence tomography. J. Clin. Neurosci. 18, 1469–1472
(2011)
116. V. Parisi, G. Manni, M. Spadaro, G. Colacino, R. Restuccia et al., Correlation between morphological and functional retinal impairment in multiple sclerosis patients. Invest. Ophthalmol.
Vis. Sci. 40, 2520–2527 (1999)
117. V. Pueyo, J. Martin, J. Fernandez, C. Almarcegui, J. Ara et al., Axonal loss in the retinal nerve
fiber layer in patients with multiple sclerosis. Multiple Scler. 14, 609–614 (2008)
118. J. Sepulcre, M. Murie-Fernandez, A. Salinas-Alaman, A. Garcia-Layana, B. Bejarano et al.,
Diagnostic accuracy of retinal abnormalities in predicting disease activity in MS. Neurology
68, 1488–1494 (2007)
119. H. Tegetmeyer, E. Kühn, Quantitative analysis of changes in macular layers following optic
neuritis. Neuro-Ophthalmology 35, 101–107 (2011)
120. B.M. Burkholder, B. Osborne, M.J. Loguidice, E. Bisker, T.C. Frohman et al., Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple
sclerosis. Arch. Neurol. 66, 1366–1372 (2009)
121. S. Saidha, S.B. Syc, M.K. Durbin, C. Eckstein, J.D. Oakley et al., Visual dysfunction in
multiple sclerosis correlates better with optical coherence tomography derived estimates of
macular ganglion cell layer thickness than peripapillary retinal nerve fiber layer thickness.
Multiple Scler. 17(12), 1449–14463 (2011)
