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Jie Xu
Jie Xu
Beijing Institute of Ophthalmology
在 ucsd.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Identifying medical diagnoses and treatable diseases by image-based deep learning
DS Kermany, M Goldbaum, W Cai, CCS Valentim, H Liang, SL Baxter, ...
cell 172 (5), 1122-1131. e9, 2018
39762018
The practical implementation of artificial intelligence technologies in medicine
ZK He J, Baxter SL, Xu J, Xu J, Zhou X
Nature Medicinevolume 25 (1), 30-36, 2019
16702019
Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography
K Zhang, X Liu, J Shen, Z Li, Y Sang, X Wu, Y Zha, W Liang, C Wang, ...
Cell 181 (6), 1423-1433. e11, 2020
9352020
Subfoveal choroidal thickness: the Beijing eye study
WB Wei, L Xu, JB Jonas, L Shao, KF Du, S Wang, CX Chen, J Xu, ...
Ophthalmology 120 (1), 175-180, 2013
6432013
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
H Liang, BY Tsui, H Ni, CCS Valentim, SL Baxter, G Liu, W Cai, ...
Nature medicine 25 (3), 433-438, 2019
5622019
Subfoveal choroidal thickness in diabetes and diabetic retinopathy
J Xu, L Xu, KF Du, L Shao, CX Chen, JQ Zhou, YX Wang, QS You, ...
Ophthalmology 120 (10), 2023-2028, 2013
2482013
Prevalence and risk factors for diabetic retinopathy: the Beijing Communities Diabetes Study 6
J Xu, WB Wei, MX Yuan, SY Yuan, G Wan, YY Zheng, YB Li, S Wang, ...
Retina 32 (2), 322-329, 2012
1592012
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
K Zhang, X Liu, J Xu, J Yuan, W Cai, T Chen, K Wang, Y Gao, S Nie, X Xu, ...
Nature biomedical engineering 5 (6), 533-545, 2021
1572021
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models
Y Chai, H Liu, J Xu
Knowledge-Based Systems 161, 147-156, 2018
1572018
Ten-year progression of myopic maculopathy: the Beijing Eye Study 2001–2011
YN Yan, YX Wang, Y Yang, L Xu, J Xu, Q Wang, JY Yang, X Yang, ...
Ophthalmology 125 (8), 1253-1263, 2018
1282018
Fundus tessellation: prevalence and associated factors: the Beijing Eye Study 2011
YN Yan, YX Wang, L Xu, J Xu, WB Wei, JB Jonas
Ophthalmology 122 (9), 1873-1880, 2015
1042015
Current status and future trends of clinical diagnoses via image-based deep learning
J Xu, K Xue, K Zhang
Theranostics 9 (25), 7556, 2019
952019
Ten-year cumulative incidence of diabetic retinopathy. The Beijing Eye Study 2001/2011
J Xu, L Xu, YX Wang, QS You, JB Jonas, WB Wei
PLoS One 9 (10), e111320, 2014
802014
Asymptomatic polyvascular abnormalities in community (APAC) study in China: objectives, design and baseline characteristics
Y Zhou, Y Li, L Xu, J Xu, A Wang, X Gao, S Wu, WB Wei, X Zhao, ...
PloS one 8 (12), e84685, 2013
622013
Artificial intelligence for screening of multiple retinal and optic nerve diseases
L Dong, W He, R Zhang, Z Ge, YX Wang, J Zhou, J Xu, L Shao, Q Wang, ...
JAMA network open 5 (5), e229960-e229960, 2022
612022
Prevalence and associated factors of diabetic retinopathy in Beijing, China: a cross-sectional study
J Cui, JP Ren, DN Chen, Z Xin, MX Yuan, J Xu, QS You, JK Yang
BMJ open 7 (8), e015473, 2017
562017
Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography
B Li, H Chen, B Zhang, M Yuan, X Jin, B Lei, J Xu, W Gu, DCS Wong, ...
British Journal of Ophthalmology 106 (8), 1079-1086, 2022
472022
Polypoidal choroidal vasculopathy in adult chinese: the Beijing Eye Study
Y Li, QS You, WB Wei, J Xu, CX Chen, YX Wang, L Xu, JB Jonas
Ophthalmology 121 (11), 2290-2291, 2014
432014
Aberrant TGF-β1 signaling activation by MAF underlies pathological lens growth in high myopia
X Zhu, Y Du, D Li, J Xu, Q Wu, W He, K Zhang, J Zhu, L Guo, M Qi, A Liu, ...
Nature Communications 12 (1), 2102, 2021
412021
A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images
Y Chai, H Liu, J Xu
Applied Soft Computing 86, 105890, 2020
352020
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