Automated Retinal Layer Segmentation Using Graph-based Algorithm Incorporating Deep-learning-derived Information
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[1] Srinivas R. Sadda,et al. Deep learning for automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration , 2019, Medical Imaging.
[2] David Alonso-Caneiro,et al. Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search. , 2018, Biomedical optics express.
[3] Chong Wang,et al. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. , 2017, Biomedical optics express.
[4] Nassir Navab,et al. ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network , 2017, Biomedical optics express.
[5] Gábor Márk Somfai,et al. Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region , 2015, PloS one.
[6] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[7] L. Ayton,et al. Reticular pseudodrusen: a risk factor for geographic atrophy in fellow eyes of individuals with unilateral choroidal neovascularization. , 2014, Ophthalmology.
[8] Alauddin Bhuiyan,et al. Progress on retinal image analysis for age related macular degeneration , 2014, Progress in Retinal and Eye Research.
[9] Qiang Chen,et al. Automated drusen segmentation and quantification in SD-OCT images , 2013, Medical Image Anal..
[10] K Bailey Freund,et al. Association between geographic atrophy progression and reticular pseudodrusen in eyes with dry age-related macular degeneration. , 2013, Investigative ophthalmology & visual science.
[11] Pang-yu Teng,et al. Caserel - An Open Source Software for Computer-aided Segmentation of Retinal Layers in Optical Coherence Tomography Images , 2013 .
[12] P. Rosenfeld,et al. SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY IMAGING OF DRUSENOID PIGMENT EPITHELIAL DETACHMENTS , 2013, Retina.
[13] Zhihong Hu,et al. Multiple layer segmentation and analysis in three-dimensional spectral-domain optical coherence tomography volume scans , 2013, Journal of biomedical optics.
[14] Xiaodong Wu,et al. Semiautomated segmentation of the choroid in spectral-domain optical coherence tomography volume scans. , 2013, Investigative Ophthalmology and Visual Science.
[15] Robert N Weinreb,et al. Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: patterns of retinal nerve fiber layer progression. , 2012, Ophthalmology.
[16] E. Souied,et al. Analysis of progression of reticular pseudodrusen by spectral domain-optical coherence tomography. , 2012, Investigative ophthalmology & visual science.
[17] Sina Farsiu,et al. Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images. , 2012, Investigative ophthalmology & visual science.
[18] R. T. Smith,et al. Image registration and multimodal imaging of reticular pseudodrusen. , 2011, Investigative ophthalmology & visual science.
[19] B. Lujan,et al. Spectral domain optical coherence tomography imaging of drusen in nonexudative age-related macular degeneration. , 2011, Ophthalmology (Rochester, Minn.).
[20] Se Woong Kang,et al. Choroidal thickness in polypoidal choroidal vasculopathy and exudative age-related macular degeneration. , 2011, Ophthalmology.
[21] Joseph A. Izatt,et al. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation , 2010, Optics express.
[22] E. Agrón,et al. Natural history of drusenoid pigment epithelial detachment in age-related macular degeneration: Age-Related Eye Disease Study Report No. 28. , 2010, Ophthalmology.
[23] C. Curcio,et al. Reticular pseudodrusen are subretinal drusenoid deposits. , 2010, Ophthalmology.
[24] Ghassan Hamarneh,et al. Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach , 2009, MICCAI.
[25] Xiaodong Wu,et al. Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images , 2009, IEEE Transactions on Medical Imaging.
[26] Milan Sonka,et al. Automated segmentation of the optic disc margin in 3-D optical coherence tomography images using a graph-theoretic approach , 2009, Medical Imaging.
[27] M. Sandberg,et al. Visual acuity is related to parafoveal retinal thickness in patients with retinitis pigmentosa and macular cysts. , 2008, Investigative ophthalmology & visual science.
[28] Wolfgang Drexler,et al. State-of-the-art retinal optical coherence tomography , 2008, Progress in Retinal and Eye Research.
[29] Jens Dreyhaupt,et al. Progression of geographic atrophy and impact of fundus autofluorescence patterns in age-related macular degeneration. , 2007, American journal of ophthalmology.
[30] Ronald Klein,et al. Changes in visual acuity in a population over a 15-year period: the Beaver Dam Eye Study. , 2006, American journal of ophthalmology.
[31] Ronald Klein,et al. A simplified severity scale for age-related macular degeneration: AREDS Report No. 18. , 2005, Archives of ophthalmology.
[32] Zhihong Hu,et al. Semiautomated segmentation and analysis of retinal layers in three-dimensional spectral-domain optical coherence tomography images of patients with atrophic age-related macular degeneration , 2017, Neurophotonics.
[33] Eric L Yuan,et al. Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography. , 2014, Ophthalmology.
[34] Xiaodong Wu,et al. Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.