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Generating retinal flow maps from structural optical coherence tomography with artificial intelligence., , , , , , , , , and . CoRR, (2018)Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration., , and . CoRR, (2016)Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs., , , , , , and . CoRR, (2021)A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography., , , , , , , , , and 5 other author(s). CoRR, (2022)Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations., , and . BMC Bioinform., (2016)Forecasting Future Humphrey Visual Fields Using Deep Learning., , , , , , , and . CoRR, (2018)Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 30 (12): 1904-1914 (November 2023)