Ophthalmology Deep learning-based correction of cataract-induced influence on macular pigment optical density measurement by autofluorescence spectroscopy. February 13, 2024
Ophthalmology Sex determination using color fundus parameters in older adults of Kumejima population study. March 1, 2023
Ophthalmology A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT. October 17, 2022
Ophthalmology Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field. November 23, 2021
Ophthalmology Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning. May 18, 2021
Ophthalmology Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort. February 12, 2021
Ophthalmology Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images. January 27, 2021
Ophthalmology Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms. August 20, 2020
Ophthalmology Improving visual field trend analysis with optical coherence tomography and deeply-regularized latent-space linear regression. August 13, 2020
Ophthalmology Improving the Structure-Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning-Based Noise Reduction Approach. July 17, 2020
Ophthalmology Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma. June 28, 2020
Ophthalmology The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields. May 13, 2020