XINCHENG YAO

Richard & Loan Hill Professor

University of Chicago

United States

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About

Dr. Xincheng Yao is the Richard & Loan Hill Professor at the University of Illinois at Chicago, USA. His research focuses on advanced imaging techniques in ophthalmology, particularly using optical coherence tomography (OCT) and its applications in diabetic macular edema, retinal dynamics, and pediatric retinal examinations. He has contributed to various studies examining the interplay between retinal vasculature and disease, as well as novel imaging methodologies to enhance diagnostic accuracy.

Articles (25)

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2025

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2022

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2022

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2022

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2021

Collaborators (4)

Mojtaba Rahimi

University of Chicago

UNITED STATES

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Michael J Heiferman

University of Chicago

UNITED STATES

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Yushun Zeng

University of Southern California

UNITED STATES

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TaeYun Son

Research Assistant Professor

University of Illinois Chicago (UIC)

UNITED STATES

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XINCHENG YAO

Research Interests

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About

Articles (25)

Doppler OCT verifies pulsation-induced anisotropic vessel lumen dynamics in the human retina

Differential artery-vein analysis in OCTA for predicting the anti-VEGF treatment outcome of diabetic macular edema

High dynamic range widefield fundus photography with transcranial illumination: a contrast agent-free method for non-mydriatic choroidal imaging

Polarization-resolved analysis of outer retinal bands: investigating ballistic and multiply scattered photons using full-field swept-source optical coherence tomography

Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy

Colour fusion effect on deep learning classification of uveal melanoma

Functional OCT reveals anisotropic changes of retinal flicker-evoked vasodilation

Integrating a Fundus Camera with High-Frequency Ultrasound for Precise Ocular Lesion Assessment

Senescence and Stress Signaling Pathways in Corneal Cells After Nitrogen Mustard Injury

Affordable ultra-widefield smartphone PedCam for comprehensive pediatric retinal examination

OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography

Optimizing the OCTA layer fusion option for deep learning classification of diabetic retinopathy

Deep learning for artery–vein classification in optical coherence tomography angiography

An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography

Ultrasound in ocular oncology: Technical advances, clinical applications, and limitations

Portable widefield fundus camera with high dynamic range imaging capability

Adaptive vessel tracing and segmentation in OCT enables the robust detection of wall-to-lumen ratio abnormalities in 5xFAD mice

Evaluating spatial dependency of the spectral efficiency in trans-palpebral illumination for widefield fundus photography

Preserving polarization maintaining photons for enhanced contrast imaging of the retina

Intrinsic signal optoretinography revealing AD-induced retinal photoreceptor hyperexcitability before a detectable morphological abnormality

MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography

Optical coherence elastography for assessing the influence of intraocular pressure on elastic wave dispersion in the cornea

Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina

Developing portable widefield fundus camera for teleophthalmology: Technical challenges and potential solutions

Machine learning in optical coherence tomography angiography

Collaborators (4)

Mojtaba Rahimi

Michael J Heiferman

Yushun Zeng

TaeYun Son

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