Ophthalmology An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship. April 12, 2023
Ophthalmology Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. November 2, 2022
Ophthalmology Semi-AI and Full-AI digitizer: The ways to digitalize visual field big data. May 29, 2021
Ophthalmology An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations. January 7, 2021
Ophthalmology | Radiology Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms. November 13, 2020
Cardiology | Geriatrics | Neurology | Ophthalmology Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images. March 13, 2020
Ophthalmology Scale-space approximated convolutional neural networks for retinal vessel segmentation. August 16, 2019
Ophthalmology Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images. July 8, 2019
Neurology | Radiology Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network. March 29, 2019
Ophthalmology A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training. January 31, 2019
Ophthalmology Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. December 17, 2018