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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)Detection of reticular pseudodrusen using deep learning., , , , , , , , , and . AMIA, AMIA, (2020)Robust convolutional neural networks against adversarial attacks on medical images., , , , , , , , , and . Pattern Recognit., (2022)Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows., , , , , , , , , and 16 other author(s). AMIA, AMIA, (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)