Xincheng Yao

Affiliations: 
Biomedical Engineering University of Alabama, Birmingham, Birmingham, AL, United States 
Area:
Optics Physics, Biomedical Engineering
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"Xincheng Yao"
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Publications

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Alam MN, Le D, Yao X. (2021) Differential artery-vein analysis in quantitative retinal imaging: a review. Quantitative Imaging in Medicine and Surgery. 11: 1102-1119
Lu Y, Son T, Kim TH, et al. (2021) Virtually structured detection enables super-resolution ophthalmoscopy of rod and cone photoreceptors in human retina. Quantitative Imaging in Medicine and Surgery. 11: 1060-1069
Ma G, Son T, Kim TH, et al. (2021) In vivo optoretinography of phototransduction activation and energy metabolism in retinal photoreceptors. Journal of Biophotonics. e202000462
Kim TH, Le D, Son T, et al. (2021) Vascular morphology and blood flow signatures for differential artery-vein analysis in optical coherence tomography of the retina. Biomedical Optics Express. 12: 367-379
Son T, Kim TH, Ma G, et al. (2020) Functional intrinsic optical signal imaging for objective optoretinography of human photoreceptors. Experimental Biology and Medicine (Maywood, N.J.). 1535370220978898
Toslak D, Son T, Erol MK, et al. (2020) Portable ultra-widefield fundus camera for multispectral imaging of the retina and choroid. Biomedical Optics Express. 11: 6281-6292
Yao X, Lu R, Wang B, et al. (2020) Super-resolution ophthalmoscopy: Virtually structured detection for resolution improvement in retinal imaging. Experimental Biology and Medicine (Maywood, N.J.). 1535370220970533
Kim TH, Wang B, Lu Y, et al. (2020) Functional optical coherence tomography enables optoretinography of photoreceptor dysfunction due to retinal degeneration. Biomedical Optics Express. 11: 5306-5320
Alam M, Le D, Son T, et al. (2020) AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography. Biomedical Optics Express. 11: 5249-5257
Le D, Alam M, Yao CK, et al. (2020) Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy. Translational Vision Science & Technology. 9: 35
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