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Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment.

, , , , , , , , and . IEEE Access, (2019)

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Registration of OCT Fundus Images with Color Fundus Images Based on Invariant Features., , , and . ICCCS (2), volume 10603 of Lecture Notes in Computer Science, page 471-482. Springer, (2017)Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images., , , , , , , , , and . Computer Methods and Programs in Biomedicine, (2019)Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images., , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 372-380. Springer, (2018)Automated choroid segmentation of three-dimensional SD-OCT images by incorporating EDI-OCT images., , , , , , and . Computer Methods and Programs in Biomedicine, (2018)Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy., , , , , , and . IEEE J. Biomedical and Health Informatics, 23 (1): 283-295 (2019)Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging., , , , , , and . IEEE Trans. Biomed. Engineering, 65 (1): 87-95 (2018)Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images., , , , , , , and . Inf. Sci., (2016)Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images., , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 381-388. Springer, (2018)Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment., , , , , , , , and . IEEE Access, (2019)Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs., , , , and . IEEE J. Biomed. Health Informatics, 26 (1): 115-126 (2022)