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Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration., , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132Z. SPIE, (2020)Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images., , , , , , , and . IEEE Trans. Medical Imaging, 40 (10): 2820-2831 (2021)Hybrid transformer for lesion segmentation on adaptive optics retinal images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration., , , , , , , , , and 7 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1135-1148 (2021)Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration., , , , , , , , , and 7 other author(s). CoRR, (2020)