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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

Automated fluid volume detection is associated with 1-year treatment requirements in eyes with diabetic macular edema

Thomas S Hwang; kotaro tsuboi; Yukun Guo; JIE WANG; Christina J Flaxel; Steven T Bailey; David Huang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2524 – F0250. doi:

ARVO Annual Meeting Abstract June 2022

Automated macular fluid volume as a treatment indicator for diabetic macular edema

kotaro tsuboi; Qisheng You; Yukun Guo; JIE WANG; Christina J Flaxel; Steven T Bailey; David Huang; Yali Jia; Thomas S Hwang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3853. doi:

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

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:

Retina December 2021

Geographic Atrophy Progression Is Associated With Choriocapillaris Flow Deficits Measured With Optical Coherence Tomographic Angiography

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Qi Sheng You; Acner Camino; Jie Wang; Yukun Guo; Christina J. Flaxel; Thomas S. Hwang; David Huang; Yali Jia; Steven T. Bailey
TAGS: angiogram, atrophy, chief complaint, fluid flow, optical coherence tomography, hypertrophy, perfusion
Invest. Ophthalmol. Vis. Sci.. 2021; 62(15):28. doi: https://doi.org/10.1167/iovs.62.15.28

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

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

Three-dimensional quantification of intraretinal cystoid space in patients with macular hole

kotaro tsuboi; Yukun Guo; JIE WANG; Motohiro Kamei; David Huang; Yali Jia; Thomas S Hwang; Steven T Bailey

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1890. doi:

ARVO Annual Meeting Abstract June 2021

Quantitative evaluation of type 1 and type 2 choroidal neovascularization components under treatment with projection-resolved optical coherence tomography angiography

Steven T Bailey; kotaro tsuboi; Qisheng You; Jie Wang; Yukun Guo; Christina J Flaxel; Thomas S Hwang; David Huang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):644. doi:

ARVO Annual Meeting Abstract June 2021

Predictive model for visual acuity in diabetic retinopathy using OCT and OCTA parameters

Bingjie Wang; Qisheng You; Shaohua Pi; Yukun Guo; Thomas S Hwang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2483. 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

Automated central macular fluid volume as a treatment indication for diabetic macular edema

Qisheng You; kotaro tsuboi; Yukun Guo; Christina J Flaxel; Steven Bailey; David Huang; Yali Jia; Thomas S Hwang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2451. doi:

ARVO Annual Meeting Abstract June 2021

Monitoring proliferative diabetic retinopathy with optical coherence tomography angiography

Thomas S Hwang; Qisheng You; Yukun Guo; Christina J Flaxel; Steven Bailey; David Huang; Yali Jia

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1097. 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

Extending interoperability in ophthalmology through Fast Healthcare Interoperability Resource (FHIR)

Ashley Kras; Warren Oliver; Mark C Gillies; Michael Mair; Stephen Chu; Nigel Morlet; Michael Mbagwu; Thomas S Hwang; Matthew Roe; Theordore Leng

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1708. 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

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

Automated fluid volume detection is associated with 1-year treatment requirements in eyes with diabetic macular edema

Automated macular fluid volume as a treatment indicator for diabetic macular edema

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

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

Geographic Atrophy Progression Is Associated With Choriocapillaris Flow Deficits Measured With Optical Coherence Tomographic Angiography

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

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

Three-dimensional quantification of intraretinal cystoid space in patients with macular hole

Quantitative evaluation of type 1 and type 2 choroidal neovascularization components under treatment with projection-resolved optical coherence tomography angiography

Predictive model for visual acuity in diabetic retinopathy using OCT and OCTA parameters

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

Automated central macular fluid volume as a treatment indication for diabetic macular edema

Monitoring proliferative diabetic retinopathy with optical coherence tomography angiography

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

Extending interoperability in ophthalmology through Fast Healthcare Interoperability Resource (FHIR)

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

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