1. Xincheng Yao

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    1. Mentioned In 30 Articles

    2. Supervised Machine Learning Based Multi-Task Artificial Intelligence Classification of Retinopathies

      Supervised Machine Learning Based Multi-Task Artificial Intelligence Classification of Retinopathies
      Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which suffer from lack of access to experienced ophthalmologists may particularly benefit from this technology. Quantitative optical coherence tomography angiography (OCTA) imaging provides excellent capability to identify subtle vascular distortions, which are useful for classifying retinovascular diseases. However, application of AI for differentiation and classification of multiple ...
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      Mentions: Xincheng Yao
    3. Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy

      Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy
      This study is to establish quantitative features of vascular geometry in optical coherence tomography angiography (OCTA) and validate them for the objective classification of diabetic retinopathy (DR). Six geometric features, including total vessel branching angle (VBA: ), child branching angles (CBAs: 1 and 2), vessel branching coefficient (VBC), and children-to-parent vessel width ratios (VWR1 and VWR2), were automatically derived from each vessel branch in OCTA. Comparative analysis of heathy control, diabetes ...
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      Mentions: Xincheng Yao
    4. Supervised machine learning based multi-task artificial intelligence classification of retinopathies

      Supervised machine learning based multi-task artificial intelligence classification of retinopathies
      Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which suffer from lack of access to experienced ophthalmologists may particularly benefit from this technology. Quantitative optical coherence tomography angiography (OCTA) imaging provides excellent capability to identify subtle vascular distortions, which are useful for classifying retinovascular diseases. However, application of AI for differentiation and classification of multiple ...
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      Mentions: Xincheng Yao
    5. Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography

      Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography
      Differential arteryvein analysis is valuable for early detection of diabetic retinopathy and other eye diseases. As a new optical coherence tomography imaging modality, optical coherence tomography angiography provides capillary level resolution for accurate examination of retinal vasculatures. However, differential arteryvein analysis in optical coherence tomography angiography particularly for macular region in which blood vessels are small is challenging. In coordination with an automatic vessel tracking algorithm, we report here the ...
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      Mentions: Xincheng Yao
    6. OCT feature analysis guided artery-vein differentiation in OCTA

      OCT feature analysis guided artery-vein differentiation in OCTA
      Differential artery-vein analysis promises better sensitivity for retinal disease detection and classification. However, clinical optical coherence tomography angiography (OCTA) instruments lack the function of artery-vein differentiation. This study aims to verify the feasibility of using OCT intensity feature analysis to guide artery-vein differentiation in OCTA. Four OCT intensity profile features, including i) ratio of vessel width to central reflex, ii) average of maximum profile brightness, iii) average of median profile ...
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    7. Comparative Optical Coherence Tomography Angiography of Wild-Type and rd10 Mouse Retinas

      Comparative Optical Coherence Tomography Angiography of Wild-Type and rd10 Mouse Retinas
      Purpose : To conduct longitudinal optical coherence tomography angiography (OCTA) to characterize dynamic changes of trilaminar vascular plexuses in wild-type (WT) and retinal degeneration 10 (rd10) mouse retinas. Methods : Longitudinal in vivo OCT/OCTA measurements of WT and rd10 mouse retinas were conducted at postnatal day 14 (P14), P17, P21, P24, and P28. OCT images were used to quantify retinal thickness changes, while OCTA images were used to investigate vascular dynamics ...
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      Mentions: Xincheng Yao
    8. Functional optical coherence tomography of retinal photoreceptors

      Functional optical coherence tomography of retinal photoreceptors
      Age-related macular degeneration (AMD) is the leading cause of severe vision loss and legal blindness. It is known that retinal photoreceptors are the primary target of AMD. Therefore, a reliable method for objective assessment of photoreceptor function is needed for early detection and reliable treatment evaluation of AMD and other eye diseases such as retinitis pigmentosa that are known to cause photoreceptor dysfunctions. Stimulus-evoked intrinsic optical signal (IOS) changes promise ...
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      Mentions: Xincheng Yao
    9. QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY

      QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY
      Purpose: This study aims to characterize quantitative optical coherence tomography angiography (OCTA) features of nonproliferative diabetic retinopathy (NPDR) and to validate them for computer-aided NPDR staging. Methods: One hundred and twenty OCTA images from 60 NPDR (mild, moderate, and severe stages) patients and 40 images from 20 control subjects were used for this study conducted in a tertiary, subspecialty, academic practice. Both eyes were photographed and all the OCTAs were ...
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    10. Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography

      Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography
      Purpose : This study aimed to develop a method for automated artery-vein classification in optical coherence tomography angiography (OCTA), and to verify that differential artery-vein analysis can improve the sensitivity of OCTA detection and staging of diabetic retinopathy (DR). Methods : For each patient, the color fundus image was used to guide the artery-vein differentiation in the OCTA image. Traditional mean blood vessel caliber (m-BVC) and mean blood vessel tortuosity (m-BVT) in ...
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    11. Functional optical coherence tomography of neurovascular coupling interactions in the retina

      Functional optical coherence tomography of neurovascular coupling interactions in the retina
      Quantitative evaluation of retinal neurovascular coupling is essential for a better understanding of visual function and early detection of eye diseases. However, there is no established method to monitor coherent interactions between stimulus‐evoked neural activity and hemodynamic responses at high resolution. Here we report a multi‐modal functional optical coherence tomography (OCT) imaging methodology to enable concurrent intrinsic optical signal (IOS) imaging of stimulus‐evoked neural activity and hemodynamic ...
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    12. Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

      Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography
      As a new optical coherence tomography (OCT) imaging modality, there is no standardized quantitative interpretation of OCT angiography (OCTA) characteristics of sickle cell retinopathy (SCR). This study is to demonstrate computer-aided SCR classification using quantitative OCTA features, i.e., blood vessel tortuosity (BVT), blood vessel diameter (BVD), vessel perimeter index (VPI), foveal avascular zone (FAZ) area, FAZ contour irregularity, parafoveal avascular density (PAD). It was observed that combined features show ...
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    13. University of Illinois at Chicago Receives NIH Grant for Functional Imaging of Retinal Photoreceptors

      University of Illinois at Chicago Receives NIH Grant  for Functional Imaging of Retinal Photoreceptors
      The University of Illinois at Chicago Received at 2017 NIH Grant for $299,044 for Functional Imaging of Retinal Photoreceptoers. The principal investigator is Zincheng Yao. The program began in 2014 and ends in 2019. Below is a summary of the proposed work. Many eye diseases, such as age-related macular degeneration (AMD), diabetic retinopathy (DR) and glaucoma, involve pathological changes in retinal photoreceptors and/or inner retinal neurons. It is ...
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  2. About Xincheng Yao

    Xincheng Yao

    Xincheng Yao is an Assistant Professor in the Department of Biomedical Engineering at the University of Alabama.

  3. Quotes

    1. We can’t use functional OCT/OCTA in the brain to look at neurovascular coupling at the cellular level because the brain is surrounded by the skull, and fine resolution isn’t possible...But we can use functional OCT/OCTA to examine the interactions between individual photoreceptors and their blood vessels in the retina, which is much more accessible in the eye.
      In Detecting eye and brain disease earlier