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of 941
pro vyhledávání: '"Wai, T."'
Autor:
Wenxin Ma, Lian Zhao, Biying Xu, Robert N Fariss, T Michael Redmond, Jizhong Zou, Wai T Wong, Wei Li
Publikováno v:
eLife, Vol 12 (2024)
Microglia exhibit both maladaptive and adaptive roles in the pathogenesis of neurodegenerative diseases and have emerged as a cellular target for central nervous system (CNS) disorders, including those affecting the retina. Replacing maladaptive micr
Externí odkaz:
https://doaj.org/article/12594187b8344dc9a8f0930111bf17cf
Autor:
Chen, Qingyu, Keenan, Tiarnan D. L., Allot, Alexis, Peng, Yifan, Agrón, Elvira, Domalpally, Amitha, Klaver, Caroline C. W., Luttikhuizen, Daniel T., Colyer, Marcus H., Cukras, Catherine A., Wiley, Henry E., Magone, M. Teresa, Cousineau-Krieger, Chantal, Wong, Wai T., Zhu, Yingying, Chew, Emily Y., Lu, Zhiyong
Objective Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and typically require advanced imaging modalities such as fundus autofluo
Externí odkaz:
http://arxiv.org/abs/2011.05142
Autor:
Peng, Yifan, Keenan, Tiarnan D., Chen, Qingyu, Agrón, Elvira, Allot, Alexis, Wong, Wai T., Chew, Emily Y., Lu, Zhiyong
By 2040, age-related macular degeneration (AMD) will affect approximately 288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-threatening stage, is critical for clinical actions, including medical
Externí odkaz:
http://arxiv.org/abs/2007.09550
Autor:
Yong Zeng, Shasha Gao, Yichao Li, Dario Marangoni, Tharindu De Silva, Wai T. Wong, Emily Y. Chew, Xun Sun, Tiansen Li, Paul A. Sieving, Haohua Qian
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 449 (2024)
Optical coherence tomography (OCT) is widely used to probe retinal structure and function. This study investigated the outer retina band (ORB) pattern and reflective intensity for the region between bands 2 and 3 (Dip) in three mouse models of inheri
Externí odkaz:
https://doaj.org/article/f03fe0017b6b4d25b49be8d7ecd9e453
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
Autor:
Keenan, Tiarnan D., Dharssi, Shazia, Peng, Yifan, Chen, Qingyu, Agrón, Elvira, Wong, Wai T., Lu, Zhiyong, Chew, Emily Y.
Purpose: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting central GA (CGA). Design: A deep learning model was developed to detect
Externí odkaz:
http://arxiv.org/abs/1906.03153
A child is considered to have faltered growth when increases in their height or weight starts to decline relative to a suitable comparison population. However, there is currently a lack of consensus on both the choice of anthropometric indexes for ch
Externí odkaz:
http://arxiv.org/abs/1812.05903
Autor:
Chen, Qingyu, Peng, Yifan, Keenan, Tiarnan, Dharssi, Shazia, Agron, Elvira, Wong, Wai T., Chew, Emily Y., Lu, Zhiyong
Age-related Macular Degeneration (AMD) is a leading cause of blindness. Although the Age-Related Eye Disease Study group previously developed a 9-step AMD severity scale for manual classification of AMD severity from color fundus images, manual gradi
Externí odkaz:
http://arxiv.org/abs/1812.00422
Autor:
Peng, Yifan, Dharssi, Shazia, Chen, Qingyu, Keenan, Tiarnan D., Agrón, Elvira, Wong, Wai T., Chew, Emily Y., Lu, Zhiyong
Publikováno v:
Ophthalmology. 2018 Nov 22. pii: S0161-6420(18)32185-7
In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming participation o
Externí odkaz:
http://arxiv.org/abs/1811.07492
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