Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Weibin Zhai"'
Autor:
Tianzi Jian, Fabao Xu, Guihua Li, Boxuan Song, Helei Wang, Xueying Yang, Weibin Zhai, Xiangchen Li, Zhiwen Li, Qi Feng, Shuqian Xu, John W. Semple, Li Zhang, Jun Peng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract It is now understood that hematological diseases can have detrimental effects on the retina, reducing retinal capillaries, compromising visual function, and potentially causing irreversible visual impairment. Over the years, there has been l
Externí odkaz:
https://doaj.org/article/22fe733e22ec4a749657fdc952814361
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
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, Jiaming, Hong, Jiawei, Wang, Zheyi, Shao, Rui, Zhang, Wenjuan, Zhao, Xuechen, Yu, Zhiwen, Li, Xueying, Yang, Yanshuang, Geng, Chunyan, Xiao, Min, Wei, Weibin, Zhai, Ying, Zhang, Shaopeng, Wang, Jianqiao, Li
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 10; Pages: 2878
Purpose: To generate and evaluate individualized post-therapeutic optical coherence tomography (OCT) images that could predict the short-term response of anti-vascular endothelial growth factor (VEGF) therapy for diabetic macular edema (DME) based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ad4b84cf822b797dd3c866d5402189
Autor:
Mengkang, Gao, Yang, Zhang, Bingxin, Wang, Ning, Guo, Lulian, Shao, Weibin, Zhai, Lei, Jiang, Qiang, Wang, Hai, Qian, Lin, Yan
Publikováno v:
Bioorganic Chemistry. 131:106335
Currently, the development of effective analgesic drugs with few side effects remains a great challenge. Studies have suggested that multi-target drug treatments show high efficacy and reduced side effects compared to single-target drug therapies. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9443b39fd0a2da443debd162bdfd4998
https://doi.org/10.1016/j.bioorg.2022.106335
https://doi.org/10.1016/j.bioorg.2022.106335
Autor:
Ying Zhang, Fabao Xu, Zhenzhe Lin, Jiawei Wang, Chao Huang, Min Wei, Weibin Zhai, Jianqiao Li
Publikováno v:
Journal of diabetes research. 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://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd72a0439d5ba0a50df33b51be427de
https://pubmed.ncbi.nlm.nih.gov/35493607
https://pubmed.ncbi.nlm.nih.gov/35493607