PUBLICATIoNS 

Full list: Google Scholar

1. Cheng Y, Chu Z, Wang RK. Robust three-dimensional registration on optical coherence tomography angiography for speckle reduction and visualization. Quantitative Imaging in Medicine and Surgery. 2021 Mar;11(3):879.

2. Cheng Y, Guo L, Pan C, Lu T, Hong T, Ding Z, Li P. Statistical analysis of motion contrast in optical coherence tomography angiography. Journal of biomedical optics. 2015 Nov 1;20(11):116004-.

3. Cheng Y et al. Calcified drusen prevent the detection of the underlying choriocapillaris using swept-source optical coherence tomography angiography. IOVS, 2024

4. Cheng Y et al. Comparison between OCT B-scan and En Face Imaging for the Diagnosis of Early Macular Atrophy in Age-Related Macular Degeneration.(In submission)

5. Rosenfeld PJ, Cheng Y, Shen M, Gregori G, Wang RK. Unleashing the power of optical attenuation coefficients to facilitate segmentation strategies in OCT imaging of age-related macular degeneration: perspective. Biomedical optics express. 2023 Sep 1;14(9):4947-63. (Review paper)

6. Chu Z, Cheng Y, Zhang Q, Zhou H, Dai Y, Shi Y, Gregori G, Rosenfeld PJ, Wang RK. Quantification of choriocapillaris with phansalkar local thresholding: pitfalls to avoid. American journal of ophthalmology. 2020 May 1;213:161-76.

7. Lu J, Cheng Y, Hiya FE, Shen M, Herrera G, Zhang Q, Gregori G, Rosenfeld PJ, Wang RK. Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both swept-source and spectral-domain OCT imaging. Biomedical Optics Express. 2024 Jan 1;15(1):413-27.

8. Mehta N*, Cheng Y*, Alibhai AY, Duker JS, Wang RK, Waheed NK. Optical coherence tomography angiography distortion correction in widefield montage images. Quantitative Imaging in Medicine and Surgery. 2021 Mar;11(3):928.

9. Li P, Cheng Y, Zhou L, Pan C, Ding Z, Li P. Single-shot angular compounded optical coherence tomography angiography by splitting full-space B-scan modulation spectrum for flow contrast enhancement. Optics Letters. 2016 Mar 1;41(5):1058-61.

10. Lu J, Cheng Y, Hiya FE, Shen M, Herrera G, Zhang Q, Gregori G, Rosenfeld PJ, Wang RK. Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both swept-source and spectral-domain OCT imaging. Biomedical Optics Express. 2024 Jan 1;15(1):413-27.

1.  Y. Cheng et. al Deep network for retinal disease classification based on limited clinical OCT angiography datasets. SPIE Photonics West, 2018 (Oral)

2. Y. Cheng et. al. A universal three-dimensional registration algorithm on OCT/OCTA for speckle reduction and visualization. ARVO Imaging in the Eye Conference 2019 (Oral)

3. Y. Cheng et. al. The Impact of scattering tail artifacts on the detection of choriocapillaris flow deficits in OCT imaging. ARVO Imaging in the Eye Conference 2023 (Oral)

4.  Y. Cheng et. al.  Automated Detection of Choroidal Hypertransmission Defects with Both SD-OCTA and SS-OCTA Scans. Angiogenesis, Exudation, and Degeneration 2024 (Invited Talk)

5. Y. Cheng et. al. Fast three-dimensional registration on OCT angiography for speckle reduction and visualization SPIE Photonics West, 2018

6. Y. Cheng et.al. Automated double-layer-sign detection in patients with age-related macular degeneration using deep learning algorithms applied to OCT scans. ARVO 2019

7. Y. Cheng et. al. Automatic segmentation of geographic atrophy in OCT scans using deep learning. ARVO 2022

8. Y. Cheng et. al. A fully automated segmentation algorithm of hyperreflective foci in SS and SD-OCT scans ARVO 2023

9. Y. Cheng et. Al. Calcification of drusen prevent the detection of the underlying choriocapillaris using swept-source optical coherence tomography angiography. ARVO 2024

• Li, Peng, Pei Li, Yuxuan Cheng, Liping Zhou, and Zhihua Ding. "Microangiography method and system based on full-space modulation spectrum splitting and angle compounding." U.S. Patent 10,667,707, issued June 2, 2020.

• 一种光学微血管造影图像分割及评价方法    CN201510278169.8

• 基于全空间调制谱分割角度复合的微血管造影方法与系统    CN201610080511.8