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Artificial Intelligence July 2022

A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography

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Pengxiao Zang; Tristan T. Hormel; Xiaogang Wang; Kotaro Tsuboi; David Huang; Thomas S. Hwang; Yali Jia
TAGS: angiogram, deep learning, diabetic retinopathy, eye, fundus photography, maps, cell adhesion molecules
Trans. Vis. Sci. Tech.. 2022; 11(7):10. doi: https://doi.org/10.1167/tvst.11.7.10

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2022

A Deep Learning-based Method for Retinal Layer and Drusen Segmentation on Optical Coherence Tomography

Yukun Guo; Tristan Hormel; Min Gao; Thomas S Hwang; Steven T Bailey; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3001 – F0271. doi:

ARVO Annual Meeting Abstract June 2022

Artificial Intelligence-assisted Projection-resolved Optical Coherence Tomographic Angiography (aiPR-OCTA)

JIE WANG; Tristan Hormel; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2910 – F0063. doi:

ARVO Annual Meeting Abstract June 2022

Identification and characterization of microaneurysm in OCT and OCT angiography

Min Gao; Tristan Hormel; Yukun Guo; Steven T. Bailey; Christina J Flaxel; David Huang; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2899 – F0052. doi:

ARVO Annual Meeting Abstract June 2022

Generative-adversarial-learning-based biomarker activation map for improving the interpretability of deep-learning-aided diabetic retinopathy screening

Pengxiao Zang; Tristan Hormel; Jie Wang; Steven T. Bailey; Christina J Flaxel; David Huang; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):211 – F0058. doi:

ARVO Annual Meeting Abstract June 2022

A Comparison of OCT Angiography Non-Perfusion Area Measurements Made With a Rules-Based Approach and Artificial Intelligence

Tristan Hormel; Jie Wang; Yukun Guo; Thomas S Hwang; David Huang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1158. doi:

Articles November 2021

An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses

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Min Gao; Tristan T. Hormel; Jie Wang; Yukun Guo; Steven T. Bailey; Thomas S. Hwang; Yali Jia
TAGS: angiogram, blood capillaries, reconstructive surgical procedures, deep learning, noise
Trans. Vis. Sci. Tech.. 2021; 10(13):13. doi: https://doi.org/10.1167/tvst.10.13.13

ARVO Imaging in the Eye Conference Abstract August 2021

Polyp Detection from Structural and Angiographic OCT Using Deep Learning

Tristan Hormel; Nida Wongchaisuwat; Nopasak Phasukkijwatana; Xiaoyan Ding; Steven T. Bailey; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):82. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Classification of arteries and veins in montaged wild-field OCT angiograms using convolutional neural network

Min Gao; Yukun Guo; Tristan Hormel; George Pacheco; David Poole; Steven T. Bailey; Christina J. Flaxel; Thomas S. Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):81. doi:

ARVO Annual Meeting Abstract June 2021

Deep-learning-aided Detection of Referable and Vision Threatening Diabetic Retinopathy based on Structural and Angiographic Optical Coherence Tomography

Pengxiao Zang; Tristan T. Hormel; Yukun Guo; Xiaogang Wang; Christina J Flaxel; Steven Bailey; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2116. doi:

ARVO Annual Meeting Abstract June 2021

Reconstruction of high-resolution OCT angiograms of retinal intermediate and deep capillary plexuses using deep learning

Min Gao; Tristan T. Hormel; Jie Wang; Yukun Guo; Steven Bailey; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1032. doi:

ARVO Annual Meeting Abstract June 2021

Nonperfusion area segmentation in three retinal plexuses on wide-field OCT angiography using a deep convolutional neural network

Yukun Guo; Tristan T. Hormel; Min Gao; Qisheng You; Jie Wang; Christina J Flaxel; Steven Bailey; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2163. doi:

ARVO Annual Meeting Abstract June 2021

Diagnosing and segmenting choroidal neovascularization in optical coherence tomographic angiography using deep learning

JIE WANG; Tristan T. Hormel; kotaro tsuboi; Xiaogang Wang; Xiaoyan Ding; Xiaoyan Peng; Steven T Bailey; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2159. doi:

Special Issue October 2020

Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning

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Yukun Guo; Tristan T. Hormel; Honglian Xiong; Jie Wang; Thomas S. Hwang; Yali Jia
TAGS: angiogram, deep learning, optical coherence tomography, artifacts, convolutional neural networks
Trans. Vis. Sci. Tech.. 2020; 9(2):54. doi: https://doi.org/10.1167/tvst.9.2.54

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract July 2020

An end-to-end network for segmenting the vasculature of three retinal capillary plexuses from OCT angiographic volume

Yukun Guo; Tristan T Hormel; Shaohua Pi; Xiang Wei; Min Gao; John Morrison; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00119. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Self-tracking high-resolution wide-field OCT angiography

Xiang Wei; Tristan T Hormel; Yukun Guo; Thomas Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PP0022. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

In vivo retinal neuronal cells visualization with visible light OCT

Shaohua Pi; Tristan T Hormel; Xiang Wei; William Cepurna; John Morrison; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PP003. doi:

ARVO Annual Meeting Abstract June 2020

Automated nonperfusion area segmentation on wide-field optical coherence tomography angiography using deep learning

Yukun Guo; Tristan Hormel; Liqin Gao; Bingjie Wang; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1618. doi:

ARVO Annual Meeting Abstract June 2020

DcardNet : Multi-Depth Diabetic Retinopathy Classification based on Structural and Angiographic Optical Coherence Tomography

Pengxiao Zang; Liqin Gao; Tristan Hormel; Jie Wang; Qisheng You; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1147. doi:

ARVO Annual Meeting Abstract June 2020

Blood Oxygen Saturation in Retinal Microcirculation

Shaohua Pi; Tristan Hormel; Xiang Wei; William O. Cepurna; Bingjie Wang; John C Morrison; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2536. doi:

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A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography

A Deep Learning-based Method for Retinal Layer and Drusen Segmentation on Optical Coherence Tomography

Artificial Intelligence-assisted Projection-resolved Optical Coherence Tomographic Angiography (aiPR-OCTA)

Identification and characterization of microaneurysm in OCT and OCT angiography

Generative-adversarial-learning-based biomarker activation map for improving the interpretability of deep-learning-aided diabetic retinopathy screening

A Comparison of OCT Angiography Non-Perfusion Area Measurements Made With a Rules-Based Approach and Artificial Intelligence

An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses

Polyp Detection from Structural and Angiographic OCT Using Deep Learning

Classification of arteries and veins in montaged wild-field OCT angiograms using convolutional neural network

Deep-learning-aided Detection of Referable and Vision Threatening Diabetic Retinopathy based on Structural and Angiographic Optical Coherence Tomography

Reconstruction of high-resolution OCT angiograms of retinal intermediate and deep capillary plexuses using deep learning

Nonperfusion area segmentation in three retinal plexuses on wide-field OCT angiography using a deep convolutional neural network

Diagnosing and segmenting choroidal neovascularization in optical coherence tomographic angiography using deep learning

Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning

An end-to-end network for segmenting the vasculature of three retinal capillary plexuses from OCT angiographic volume

Self-tracking high-resolution wide-field OCT angiography

In vivo retinal neuronal cells visualization with visible light OCT

Automated nonperfusion area segmentation on wide-field optical coherence tomography angiography using deep learning

DcardNet : Multi-Depth Diabetic Retinopathy Classification based on Structural and Angiographic Optical Coherence Tomography

Blood Oxygen Saturation in Retinal Microcirculation

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