23 citations · 25 across the 7 of their papers we have counts for
4 papers · 1 filter
Automated Volumetric Segmentation of Microaneurysms on OCT Using Artificial Intelligence
Min Gao, Yukun Guo, Tristan T. Hormel +5
Purpose: To develop and validate a deep learning-based method for the automated identification and volumetric segmentation of microaneurysms (MAs) in diabetic retinopathy (DR) usin…
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…
Perfused and Nonperfused Microaneurysms Identified and Characterized by Structural and Angiographic OCT
Min Gao, Tristan T. Hormel, Yukun Guo +5
Purpose: Microaneurysms (MAs) have distinct, oval-shaped, hyperreflective walls on structural OCT, and inconsistent flow signal in the lumen with OCT angiography (OCTA). Their rela…