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102. M. Mayer, R. Tornow, R. Bock, J. Hornegger, F. Kruse, Automatic nerve fiber layer segmentation and geometry correction on spectral domain OCT images using fuzzy C-means
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103. M. Baroni, P. Fortunato, A. La Torre, Towards quantitative analysis of retinal features in
optical coherence tomography. Med. Eng. Phys. 29, 432–441 (2007)
104. D.L. Marks, T.S. Ralston, S.A. Boppart, Speckle reduction by I-divergence regularization in
optical coherence tomography. JOSA A 22, 2366–2371 (2005)
105. A. Wong, A. Mishra, K. Bizheva, D.A. Clausi, General Bayesian estimation for speckle noise
reduction in optical coherence tomography retinal imagery. Opt. Express 18, 8338–8352
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106. F. Leyuan, L. Shutao, R.P. McNabb, N. Qing, A.N. Kuo, C.A. Toth et al., Fast acquisition
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107. G. Quellec, K. Lee, M. Dolejsi, M.K. Garvin, M.D. Abràmoff, M. Sonka, Three-dimensional
analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula.
IEEE Trans. Med. Imaging 29, 1321–1330 (2010)
108. M. Forouzanfar, H. Moghaddam, A directional multiscale approach for speckle reduction
in optical coherence tomography images, in IEEE International Conference on Electrical
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109. M.D. Abràmoff, K. Lee, M. Niemeijer, W.L. Alward, E.C. Greenlee, M.K. Garvin et al.,
Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve
head. Invest. Ophthalmol. Vis. Sci. 50, 5778–5784 (2009)
110. A. Yazdanpanah, G. Hamarneh, B. Smith, M. Sarunic, Intra-retinal layer segmentation in
optical coherence tomography using an active contour approach, in Medical Image Computing
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111. Q. Yang, C.A. Reisman, Z. Wang, Y. Fukuma, M. Hangai, N. Yoshimura et al., Automated layer
segmentation of macular OCT images using dual-scale gradient information. Opt. Express
18, 21293 (2010)
112. R. Kafieh, H. Rabbani, M.D. Abramoff, M. Sonka, Intra-retinal layer segmentation of 3D
optical coherence tomography using coarse grained diffusion map. Med. Image Anal. (2013)
113. H. Bogunovic, M. Sonka, Y. Kwon, P. Kemp, M. Abramoff, X. Wu, Multi-surface and multifield co-segmentation of 3-D retinal optical coherence tomography. IEEE Trans. Med. Imaging
99, 247–253 (2014)
114. F. Rathke, S. Schmidt, C. Schnörr, Probabilistic intra-retinal layer segmentation in 3-D OCT
images using global shape regularization. Med. Image Anal. 18, 781–794 (2014)
115. D.J. George A, A. Weber, A. Pechereau, Optical coherence tomography image processing.
Investigat. Ophthalmol. Vis. Sci. 41, 165–173 (2000)
116. A. Herzog, K.L. Boyer, C. Roberts, Robust extraction of the optic nerve head in optical coherence tomography, in Computer Vision and Mathematical Methods in Medical and Biomedical
Image Analysis (Springer, Berlin, 2004), pp. 395–407
Z. Amini et al.
100. K. Lee, M.D. Abràmoff, M. Niemeijer, M.K. Garvin, M. Sonka, 3-D segmentation of retinal
blood vessels in spectral-domain OCT volumes of the optic nerve head, Presented at the
Proceedings of SPIE Medical Imaging: Biomedical Applications in Molecular, Structural,
and Functional Imaging (2010)
101. H. Ishikawa, D.M. Stein, G. Wollstein, S. Beaton, J.G. Fujimoto, J.S. Schuman, Macular
segmentation with optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 46, 2012–2017
(2005)
102. M. Mayer, R. Tornow, R. Bock, J. Hornegger, F. Kruse, Automatic nerve fiber layer segmentation and geometry correction on spectral domain OCT images using fuzzy C-means
clustering. Invest. Ophthalmol. Vis. Sci. 49, pp. E-Abstract 1880 (2008)
103. M. Baroni, P. Fortunato, A. La Torre, Towards quantitative analysis of retinal features in
optical coherence tomography. Med. Eng. Phys. 29, 432–441 (2007)
104. D.L. Marks, T.S. Ralston, S.A. Boppart, Speckle reduction by I-divergence regularization in
optical coherence tomography. JOSA A 22, 2366–2371 (2005)
105. A. Wong, A. Mishra, K. Bizheva, D.A. Clausi, General Bayesian estimation for speckle noise
reduction in optical coherence tomography retinal imagery. Opt. Express 18, 8338–8352
(2010)
106. F. Leyuan, L. Shutao, R.P. McNabb, N. Qing, A.N. Kuo, C.A. Toth et al., Fast acquisition
and reconstruction of optical coherence tomography images via sparse representation. IEEE
Trans. Med. Imaging 32, 2034–2049 (2013)
107. G. Quellec, K. Lee, M. Dolejsi, M.K. Garvin, M.D. Abràmoff, M. Sonka, Three-dimensional
analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula.
IEEE Trans. Med. Imaging 29, 1321–1330 (2010)
108. M. Forouzanfar, H. Moghaddam, A directional multiscale approach for speckle reduction
in optical coherence tomography images, in IEEE International Conference on Electrical
Engineering, ICEE’07, Lahore (2007), pp. 1–6
109. M.D. Abràmoff, K. Lee, M. Niemeijer, W.L. Alward, E.C. Greenlee, M.K. Garvin et al.,
Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve
head. Invest. Ophthalmol. Vis. Sci. 50, 5778–5784 (2009)
110. A. Yazdanpanah, G. Hamarneh, B. Smith, M. Sarunic, Intra-retinal layer segmentation in
optical coherence tomography using an active contour approach, in Medical Image Computing
and Computer-Assisted Intervention–MICCAI 2009 (Springer, Berlin, 2009), pp. 649–656
111. Q. Yang, C.A. Reisman, Z. Wang, Y. Fukuma, M. Hangai, N. Yoshimura et al., Automated layer
segmentation of macular OCT images using dual-scale gradient information. Opt. Express
18, 21293 (2010)
112. R. Kafieh, H. Rabbani, M.D. Abramoff, M. Sonka, Intra-retinal layer segmentation of 3D
optical coherence tomography using coarse grained diffusion map. Med. Image Anal. (2013)
113. H. Bogunovic, M. Sonka, Y. Kwon, P. Kemp, M. Abramoff, X. Wu, Multi-surface and multifield co-segmentation of 3-D retinal optical coherence tomography. IEEE Trans. Med. Imaging
99, 247–253 (2014)
114. F. Rathke, S. Schmidt, C. Schnörr, Probabilistic intra-retinal layer segmentation in 3-D OCT
images using global shape regularization. Med. Image Anal. 18, 781–794 (2014)
115. D.J. George A, A. Weber, A. Pechereau, Optical coherence tomography image processing.
Investigat. Ophthalmol. Vis. Sci. 41, 165–173 (2000)
116. A. Herzog, K.L. Boyer, C. Roberts, Robust extraction of the optic nerve head in optical coherence tomography, in Computer Vision and Mathematical Methods in Medical and Biomedical
Image Analysis (Springer, Berlin, 2004), pp. 395–407
