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Investigative Ophthalmology & Visual Science|July 30, 2020
Retinal Neurovascular Impairment in Patients with Essential Hypertension: An Optical Coherence Tomography Angiography StudyQingsheng Peng, Yijun Hu, Manqing Huang, et al.American Journal of Ophthalmology|July 19, 2022
Peripapillary Microvasculature Predicts the Incidence and Development of Diabetic Retinopathy: An SS-OCTA StudyMeng Yuan, Wei Wang, Shimao Kang, et al.Clinical & Experimental Ophthalmology|August 30, 2020
Retinal microvasculature impairment in patients with congenital heart disease investigated by optical coherence tomography angiographyCong Li, Pingting Zhong, Haiyun Yuan, et al.Journal of Atherosclerosis and Thrombosis|March 22, 2021
Development and Validation of Retinal Vasculature Nomogram in Suspected Angina Due to Coronary Artery DiseasePingting Zhong, Jie Qin, Zhixi Li, et al.Frontiers in Neuroscience|December 6, 2021
Retinal Neurovascular Impairment in Non-diabetic and Non-dialytic Chronic Kidney Disease PatientsXiaomin Zeng, Yijun Hu, Yuanhan Chen, et al.Frontiers in Aging Neuroscience|April 30, 2021
Reduced Retinal Microvascular Perfusion in Patients With Stroke Detected by Optical Coherence Tomography AngiographyBaoyi Liu, Yijun Hu, Guixian Ma, et al.Retina (Philadelphia, Pa.)|October 8, 2020
DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGESQiaowei Wu, Bin Zhang, Yijun Hu, et al.Microvascular Research|April 2, 2023
Impaired retinal microcirculation in patients with non-obstructive coronary artery diseaseYun Ren, Yijun Hu, Cong Li, et al.Annals of Translational Medicine|February 8, 2021
Automatic prediction of treatment outcomes in patients with diabetic macular edema using ensemble machine learningBaoyi Liu, Bin Zhang, Yijun Hu, et al.Nature Medicine|July 19, 2024
Integrated image-based deep learning and language models for primary diabetes careJiajia Li, Zhouyu Guan, Jing Wang, et al.Pageof 3