Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Fabao Xu"'
Autor:
Longhui Li, Duoru Lin, Zhenzhe Lin, Mingyuan Li, Zhangkai Lian, Lanqin Zhao, Xiaohang Wu, Lixue Liu, Jiali Liu, Xiaoyue Wei, Mingjie Luo, Danqi Zeng, Anqi Yan, Wai Cheng Iao, Yuanjun Shang, Fabao Xu, Wei Xiang, Muchen He, Zhe Fu, Xueyu Wang, Yaru Deng, Xinyan Fan, Zhijun Ye, Meirong Wei, Jianping Zhang, Baohai Liu, Jianqiao Li, Xiaoyan Ding, Haotian Lin
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Image quality variation is a prominent cause of performance degradation for intelligent disease diagnostic models in clinical applications. Image quality issues are particularly prominent in infantile fundus photography due to poor patient c
Externí odkaz:
https://doaj.org/article/8da5cbb3d32f41a29f2b228d0a48acf3
Autor:
Fabao Xu, Zhiwen Li, Xueying Yang, Yang Gao, Zhiwei Li, Guihua Li, Shaopeng Wang, Xiaolin Ning, Jianqiao Li
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2023)
PurposeTo investigate the micro-vascular changes in choroidal structures in patients with pre- and early-stage clinical diabetic retinopathy (DR) using wide-field Swept-Source Optical Coherence Tomography Angiography (SS-OCTA).MethodThis observationa
Externí odkaz:
https://doaj.org/article/4e7aa9b2092543bfa392358c7ef0b703
Autor:
Fabao Xu, Xuechen Yu, Yang Gao, Xiaolin Ning, Ziyuan Huang, Min Wei, Weibin Zhai, Rui Zhang, Shaopeng Wang, Jianqiao Li
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
To generate and evaluate post-therapeutic optical coherence tomography (OCT) images based on pre-therapeutic images with generative adversarial network (GAN) to predict the short-term response of patients with retinal vein occlusion (RVO) to anti-vas
Externí odkaz:
https://doaj.org/article/bbf54b777a3544f68b06346d5283d2d7
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Diabetic retinopathy (DR) is an important complication with a high incidence of 34.6% in the diabetic populations. DR could finally lead to vision impairment without effective interventions, during which, diabetic macular edema (DME) is a key phase c
Externí odkaz:
https://doaj.org/article/bf602dcb899e4226ac374bf73685165c
Autor:
Zhongwen Li, Chong Guo, Danyao Nie, Duoru Lin, Yi Zhu, Chuan Chen, Lanqin Zhao, Xiaohang Wu, Meimei Dongye, Fabao Xu, Chenjin Jin, Ping Zhang, Yu Han, Pisong Yan, Haotian Lin
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Artificial intelligence (AI) based on deep learning has shown excellent diagnostic performance in detecting various diseases with good-quality clinical images. Recently, AI diagnostic systems developed from ultra-widefield fundus (UWF) image
Externí odkaz:
https://doaj.org/article/055ceb8e611d4d64b7457405ba2cacfa
Autor:
Kunbei Lai, Chuangxin Huang, Longhui Li, Yajun Gong, Fabao Xu, Xiaojing Zhong, Lin Lu, Chenjin Jin
Publikováno v:
BMC Ophthalmology, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background To evaluate the anatomical and functional responses in eyes with diabetic macular edema (DME) treated with ranibizumab under “1 + pro re nata (PRN)” regimen. Methods This prospective interventional case series included 69 eyes
Externí odkaz:
https://doaj.org/article/169cfaaddf594c9e98e0e394e8075fd4
Autor:
Ying Zhang, Fabao Xu, Zhenzhe Lin, Jiawei Wang, Chao Huang, Min Wei, Weibin Zhai, Jianqiao Li
Publikováno v:
Journal of Diabetes Research, Vol 2022 (2022)
Purpose. To predict visual acuity (VA) 1 month after anti-vascular endothelial growth factor (VEGF) therapy in patients with diabetic macular edema (DME) by using machine learning. Methods. This retrospective study included 281 eyes with DME receivin
Externí odkaz:
https://doaj.org/article/fc1d9f14b6974ba698bd569a55d7944b
Autor:
Fabao Xu, Shaopeng Liu, Yifan Xiang, Zhenzhe Lin, Cong Li, Lijun Zhou, Yajun Gong, Longhui Li, Zhongwen Li, Chong Guo, Chuangxin Huang, Kunbei Lai, Hongkun Zhao, Jiaming Hong, Haotian Lin, Chenjin Jin
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Subretinal fluid (SRF) can lead to irreversible visual loss in patients with central serous chorioretinopathy (CSC) if not absorbed in time. Early detection and intervention of SRF can help improve visual prognosis and reduce irreversible damage to t
Externí odkaz:
https://doaj.org/article/93b098124ef94205bc5407ce09325687
Autor:
Fabao Xu, Cheng Wan, Lanqin Zhao, Shaopeng Liu, Jiaming Hong, Yifan Xiang, Qijing You, Lijun Zhou, Zhongwen Li, Songjian Gong, Yi Zhu, Chuan Chen, Li Zhang, Yajun Gong, Longhui Li, Cong Li, Xiayin Zhang, Chong Guo, Kunbei Lai, Chuangxin Huang, Daniel Ting, Haotian Lin, Chenjin Jin
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
To predict visual acuity (VA) and post-therapeutic optical coherence tomography (OCT) images 1, 3, and 6 months after laser treatment in patients with central serous chorioretinopathy (CSC) by artificial intelligence (AI). Real-world clinical and ima
Externí odkaz:
https://doaj.org/article/77043c3c317c453187143675f523cdb3
Autor:
Fabao Xu, Cheng Wan, Lanqin Zhao, Qijing You, Yifan Xiang, Lijun Zhou, Zhongwen Li, Songjian Gong, Yi Zhu, Chuan Chen, Cong Li, Li Zhang, Chong Guo, Longhui Li, Yajun Gong, Xiayin Zhang, Kunbei Lai, Chuangxin Huang, Hongkun Zhao, Daniel Ting, Chenjin Jin, Haotian Lin
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Purpose: To predict central serous chorioretinopathy (CSC) recurrence 3 and 6 months after laser treatment by using machine learning.Methods: Clinical and imaging features of 461 patients (480 eyes) with CSC were collected at Zhongshan Ophthalmic Cen
Externí odkaz:
https://doaj.org/article/19b347d7827245babbc9eef69ce85087