4 papers
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…
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…
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…