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[Crossref]
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P. Coupé, P. Hellier, C. Kervrann, and C. Barillot, “Nonlocal means-based speckle filtering for ultrasound images,” IEEE Trans. Image Process. 18(10), 2221–2229 (2009).

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[Crossref]

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[Crossref]

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[Crossref]
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[Crossref]

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[Crossref]
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L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
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[Crossref]
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[Crossref]
[PubMed]

Y. Du, G. Liu, G. Feng, and Z. Chen, “Speckle reduction in optical coherence tomography images based on wave atoms,” J. Biomed. Opt. 19(5), 056009 (2014).

[Crossref]
[PubMed]

M. Pircher, E. Götzinger, R. A. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, “Speckle reduction in optical coherence tomography by frequency compounding,” J. Biomed. Opt. 8(3), 565–569 (2003).

[Crossref]
[PubMed]

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[Crossref]
[PubMed]

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[Crossref]
[PubMed]

H. Chen, S. Fu, H. Wang, H. Lv, and C. Zhang, “Speckle attenuation by adaptive singular value shrinking with generalized likelihood matching in optical coherence tomography,” J. Biomed. Opt. 23(3), 036014 (2018).

[Crossref]

H. Lv, S. Fu, C. Zhang, and L. Zhai, “Speckle noise reduction for optical coherence tomography based on adaptive 2D dictionary,” Laser Phys. Lett. 15(5), 055401 (2018).

[Crossref]

M. Pircher, E. Götzinger, R. A. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, “Speckle reduction in optical coherence tomography by frequency compounding,” J. Biomed. Opt. 8(3), 565–569 (2003).

[Crossref]
[PubMed]

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[Crossref]
[PubMed]

M. Pircher, E. Götzinger, R. A. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, “Speckle reduction in optical coherence tomography by frequency compounding,” J. Biomed. Opt. 8(3), 565–569 (2003).

[Crossref]
[PubMed]

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[Crossref]
[PubMed]

T. Bajraszewski, M. Wojtkowski, M. Szkulmowski, A. Szkulmowska, R. Huber, and A. Kowalczyk, “Improved spectral optical coherence tomography using optical frequency comb,” Opt. Express 16(6), 4163–4176 (2008).

[Crossref]
[PubMed]

L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
[PubMed]

L. Fang, S. Li, Q. Nie, J. A. Izatt, C. A. Toth, and S. Farsiu, “Sparsity based denoising of spectral domain optical coherence tomography images,” Biomed. Opt. Express 3(5), 927–942 (2012).

[Crossref]
[PubMed]

Z. Jian, L. Yu, B. Rao, B. J. Troberg, and Z. Chen, “Three-dimensional speckle suppression in optical coherence tomography based on the curvelet transform,” Opt. Express 18(2), 1024–1032 (2010).

[Crossref]
[PubMed]

Z. Jian, Z. Yu, L. Yu, B. Rao, Z. Chen, and B. J. Tromberg, “Speckle attenuation in optical coherence tomography by curvelet shrinkage,” Opt. Lett. 34(10), 1516–1518 (2009).

[Crossref]
[PubMed]

R. Kafieh, H. Rabbani, and I. Selesnick, “Three dimensional data-driven multi scale atomic representation of optical coherence tomography,” IEEE Trans. Med. Imaging 34(5), 1042–1062 (2015).

[Crossref]
[PubMed]

P. Coupé, P. Hellier, C. Kervrann, and C. Barillot, “Nonlocal means-based speckle filtering for ultrasound images,” IEEE Trans. Image Process. 18(10), 2221–2229 (2009).

[Crossref]
[PubMed]

H. Kong, L. Wang, E. K. Teoh, X. Li, J. G. Wang, and R. Venkateswarlu, “Generalized 2D principal component analysis for face image representation and recognition,” Neural Networks 18(5–6), 585–594 (2005).

[Crossref]
[PubMed]

L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
[PubMed]

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Reduction of speckle noise from optical coherence tomography images using multi-frame weighted nuclear norm minimization method,” J. Mod. Opt. 62(21), 1856–1864 (2015).

[Crossref]

J. Xu, H. Ou, C. Sun, P. C. Chui, V. X. Yang, E. Y. Lam, and K. K. Wong, “Wavelet domain compounding for speckle reduction in optical coherence tomography,” J. Biomed. Opt. 18(9), 096002 (2013).

[Crossref]
[PubMed]

J. Xu, H. Ou, E. Y. Lam, P. C. Chui, and K. K. Wong, “Speckle reduction of retinal optical coherence tomography based on contourlet shrinkage,” Opt. Lett. 38(15), 2900–2903 (2013).

[Crossref]
[PubMed]

M. Pircher, E. Götzinger, R. A. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, “Speckle reduction in optical coherence tomography by frequency compounding,” J. Biomed. Opt. 8(3), 565–569 (2003).

[Crossref]
[PubMed]

L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
[PubMed]

L. Fang, S. Li, Q. Nie, J. A. Izatt, C. A. Toth, and S. Farsiu, “Sparsity based denoising of spectral domain optical coherence tomography images,” Biomed. Opt. Express 3(5), 927–942 (2012).

[Crossref]
[PubMed]

H. Kong, L. Wang, E. K. Teoh, X. Li, J. G. Wang, and R. Venkateswarlu, “Generalized 2D principal component analysis for face image representation and recognition,” Neural Networks 18(5–6), 585–594 (2005).

[Crossref]
[PubMed]

Y. Du, G. Liu, G. Feng, and Z. Chen, “Speckle reduction in optical coherence tomography images based on wave atoms,” J. Biomed. Opt. 19(5), 056009 (2014).

[Crossref]
[PubMed]

H. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, “MPCA: Multilinear principal component analysis of tensor objects,” IEEE Trans. Neural Networks. 19(1), 18–39 (2008).

[Crossref]
[PubMed]

H. Lv, S. Fu, C. Zhang, and L. Zhai, “Speckle noise reduction for optical coherence tomography based on adaptive 2D dictionary,” Laser Phys. Lett. 15(5), 055401 (2018).

[Crossref]

H. Chen, S. Fu, H. Wang, H. Lv, and C. Zhang, “Speckle attenuation by adaptive singular value shrinking with generalized likelihood matching in optical coherence tomography,” J. Biomed. Opt. 23(3), 036014 (2018).

[Crossref]

R. Bernardes, C. Maduro, P. Serranho, A. Araújo, S. Barbeiro, and J. Cunha-Vaz, “Improved adaptive complex diffusion despeckling filter,” Opt. Express 18(23), 24084–24059 (2010).

[Crossref]

L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
[PubMed]

L. Fang, S. Li, R. P. McNabb, Q. Nie, A. N. Kuo, C. A. Toth, J. A. Izatt, and S. Farsiu, “Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation,” IEEE Trans. Med. Imaging 32(11), 2034–2049 (2013).

[Crossref]
[PubMed]

L. Fang, S. Li, Q. Nie, J. A. Izatt, C. A. Toth, and S. Farsiu, “Sparsity based denoising of spectral domain optical coherence tomography images,” Biomed. Opt. Express 3(5), 927–942 (2012).

[Crossref]
[PubMed]

J. Xu, H. Ou, C. Sun, P. C. Chui, V. X. Yang, E. Y. Lam, and K. K. Wong, “Wavelet domain compounding for speckle reduction in optical coherence tomography,” J. Biomed. Opt. 18(9), 096002 (2013).

[Crossref]
[PubMed]

J. Xu, H. Ou, E. Y. Lam, P. C. Chui, and K. K. Wong, “Speckle reduction of retinal optical coherence tomography based on contourlet shrinkage,” Opt. Lett. 38(15), 2900–2903 (2013).

[Crossref]
[PubMed]

M. Pircher, E. Götzinger, R. A. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, “Speckle reduction in optical coherence tomography by frequency compounding,” J. Biomed. Opt. 8(3), 565–569 (2003).

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A. Baghaie, R. M. D’souza, and Z. Yu, “Sparse and low rank decomposition based batch image alignment for speckle reduction of retinal OCT images,” in Proceedings of IEEE International Symposimum on Biomedical Imaging (IEEE, 2015), pp. 226–230.

D. Arthur and S. Vassilvitskii, “k-means++: The advantages of careful seeding,” in Proceedings of ACM-SIAM symposium on Discrete algorithms (SIAM, 2007), pp. 1027–1035.