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Items: 1 to 20 of 392

1.

Intra-retinal layer segmentation in optical coherence tomography images.

Mishra A, Wong A, Bizheva K, Clausi DA.

Opt Express. 2009 Dec 21;17(26):23719-28. doi: 10.1364/OE.17.023719.

PMID:
20052083
2.

Intra-retinal layer segmentation in optical coherence tomography using an active contour approach.

Yazdanpanah A, Hamarneh G, Smith B, Sarunic M.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):649-56.

PMID:
20426167
3.

Delineating fluid-filled region boundaries in optical coherence tomography images of the retina.

Fernández DC.

IEEE Trans Med Imaging. 2005 Aug;24(8):929-45.

PMID:
16092326
4.

Segmentation of the surfaces of the retinal layer from OCT images.

Haeker M, Abràmoff M, Kardon R, Sonka M.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):800-7.

PMID:
17354964
5.

Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach.

Yazdanpanah A, Hamarneh G, Smith BR, Sarunic MV.

IEEE Trans Med Imaging. 2011 Feb;30(2):484-96. doi: 10.1109/TMI.2010.2087390. Epub 2010 Oct 14.

PMID:
20952331
6.

Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration--method and clinical examples.

Jørgensen TM, Thomadsen J, Christensen U, Soliman W, Sander B.

J Biomed Opt. 2007 Jul-Aug;12(4):041208.

PMID:
17867797
7.

Automated segmentation of the macula by optical coherence tomography.

Fabritius T, Makita S, Miura M, Myllylä R, Yasuno Y.

Opt Express. 2009 Aug 31;17(18):15659-69. doi: 10.1364/OE.17.015659.

PMID:
19724565
8.

Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies.

Szkulmowski M, Wojtkowski M, Sikorski B, Bajraszewski T, Srinivasan VJ, Szkulmowska A, Kałuzny JJ, Fujimoto JG, Kowalczyk A.

J Biomed Opt. 2007 Jul-Aug;12(4):041207.

PMID:
17867796
9.

A generative model for OCT retinal layer segmentation by integrating graph-based multi-surface searching and image registration.

Zheng Y, Xiao R, Wang Y, Gee JC.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):428-35.

10.

Exact surface registration of retinal surfaces from 3-D optical coherence tomography images.

Lee S, Lebed E, Sarunic MV, Beg MF.

IEEE Trans Biomed Eng. 2015 Feb;62(2):609-17. doi: 10.1109/TBME.2014.2361778. Epub 2014 Oct 8.

PMID:
25312906
11.

Segmentation of optical coherence tomography images for differentiation of the cavernous nerves from the prostate gland.

Chitchian S, Weldon TP, Fried NM.

J Biomed Opt. 2009 Jul-Aug;14(4):044033. doi: 10.1117/1.3210767.

PMID:
19725744
12.

General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery.

Wong A, Mishra A, Bizheva K, Clausi DA.

Opt Express. 2010 Apr 12;18(8):8338-52. doi: 10.1364/OE.18.008338.

PMID:
20588679
13.

Evaluation of potential image acquisition pitfalls during optical coherence tomography and their influence on retinal image segmentation.

Somfai GM, Salinas HM, Puliafito CA, Fernández DC.

J Biomed Opt. 2007 Jul-Aug;12(4):041209.

PMID:
17867798
14.
15.

In vivo three-dimensional high-resolution imaging of rodent retina with spectral-domain optical coherence tomography.

Ruggeri M, Wehbe H, Jiao S, Gregori G, Jockovich ME, Hackam A, Duan Y, Puliafito CA.

Invest Ophthalmol Vis Sci. 2007 Apr;48(4):1808-14.

PMID:
17389515
16.

Longitudinal study of retinal degeneration in a rat using spectral domain optical coherence tomography.

Sarunic MV, Yazdanpanah A, Gibson E, Xu J, Bai Y, Lee S, Saragovi HU, Beg MF.

Opt Express. 2010 Oct 25;18(22):23435-41. doi: 10.1364/OE.18.023435.

PMID:
21164686
17.

Method for optical coherence tomography image classification using local features and earth mover's distance.

Sun Y, Lei M.

J Biomed Opt. 2009 Sep-Oct;14(5):054037. doi: 10.1117/1.3251059.

PMID:
19895138
18.

Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint.

Niu S, Chen Q, de Sisternes L, Rubin DL, Zhang W, Liu Q.

Comput Biol Med. 2014 Nov;54:116-28. doi: 10.1016/j.compbiomed.2014.08.028. Epub 2014 Sep 6.

PMID:
25240102
19.

Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images.

Haeker M, Abràmoff MD, Wu X, Kardon R, Sonka M.

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):244-51.

PMID:
18051065
20.

Automated layer segmentation of optical coherence tomography images.

Lu S, Cheung CY, Liu J, Lim JH, Leung CK, Wong TY.

IEEE Trans Biomed Eng. 2010 Oct;57(10):2605-8. doi: 10.1109/TBME.2010.2055057. Epub 2010 Jun 28.

PMID:
20595078

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