Ophthalmology Distinct Clinical Effects of Two RP1L1 Hotspots in East Asian Patients With Occult Macular Dystrophy (Miyake Disease): EAOMD Report 4. January 24, 2024
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 Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images. February 4, 2022
Ophthalmology Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study. January 11, 2022
Ophthalmology Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography. April 30, 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
Ophthalmology Optical coherence tomography-based deep-learning model for detecting central serous chorioretinopathy. November 3, 2020
Cardiology | Geriatrics | Neurology | Ophthalmology Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images. March 13, 2020
Ophthalmology Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images. July 8, 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