Ophthalmology Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography. April 30, 2021
Ophthalmology Deep learning and ensemble stacking technique for differentiating polypoidal choroidal vasculopathy from neovascular age-related macular degeneration. March 31, 2021
Ophthalmology Predicting incremental and future visual change in neovascular age-related macular degeneration using deep learning. January 31, 2021
Ophthalmology Analysis of Fluid Volume and its Impact on Visual Acuity in the FLUID Study as Quantified with Deep Learning. November 24, 2020
Ophthalmology Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning. September 27, 2020
Ophthalmology Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography. September 25, 2020
Ophthalmology Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm. September 10, 2020
Ophthalmology Application of Automated Quantification of Fluid Volumes to Anti-VEGF Therapy of Neovascular Age-Related Macular Degeneration. April 24, 2020
Ophthalmology TOPOGRAPHIC ANALYSIS OF PHOTORECEPTOR LOSS CORRELATED WITH DISEASE MORPHOLOGY IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION. December 16, 2019
Ophthalmology SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY, FLUORESCEIN ANGIOGRAPHY, AND INDOCYANINE GREEN ANGIOGRAPHY COMPARISONS REVISITED: Using a Novel Deep-Learning-Assisted Approach for Image Registration. December 4, 2019
Ophthalmology Development and validation of a deep learning algorithm for the detection of neovascular age-related macular degeneration from color fundus photographs. June 19, 2019