5 papers
Deep Learning-assisted AMD Staging based on OCT and OCT Angiography
Yukun Guo, Tristan T. Hormel, An-Lun Wu +4
To develop and evaluate deep learning models for automated grading of age-related macular degeneration (AMD) severity using optical coherence tomography (OCT) and OCT angiography (…
Three-Dimensional Retinal Microvasculature Restoration in OCT Angiography
Yukun Guo, Min Gao, Tristan T. Hormel +3
Optical coherence tomographic angiography (OCTA) is a powerful technique for imaging retinal microvasculature. However, acquiring reliable quantification of retinal blood flow and…
Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
Jinyi Hao, Jie Wang, Liqin Gao +8
Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making R…
AI-derived layer-specific OCT biomarkers for classification of geographic atrophy
Yukun Guo, An-Lun Wu, Tristan T. Hormel +5
Geographic atrophy (GA) is a key biomarker of dry age-related macular degeneration (AMD) traditionally identified through color fundus photography. Hyper-transmission defects (hype…
Nonperfused Retinal Capillaries -- A New Method Developed on OCT and OCTA
Min Gao, Yukun Guo, Tristan T. Hormel +6
To develop a new method to quantify nonperfused retinal capillaries (NPCs) by using co-registered optical coherence tomography (OCT) and OCT angiography (OCTA), and to evaluate NPC…