[HTML][HTML] Optical coherence tomography angiography in diabetic retinopathy

NK Waheed, RB Rosen, Y Jia, MR Munk… - Progress in retinal and …, 2023 - Elsevier
There remain many unanswered questions on how to assess and treat the pathology and
complications that arise from diabetic retinopathy (DR). Optical coherence tomography …

Artificial intelligence in OCT angiography

TT Hormel, TS Hwang, ST Bailey, DJ Wilson… - Progress in Retinal and …, 2021 - Elsevier
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Deep learning in optical coherence tomography angiography: Current progress, challenges, and future directions

D Yang, AR Ran, TX Nguyen, TPH Lin, H Chen… - Diagnostics, 2023 - mdpi.com
Optical coherence tomography angiography (OCT-A) provides depth-resolved visualization
of the retinal microvasculature without intravenous dye injection. It facilitates investigations …

OCT angiography and its retinal biomarkers

TT Hormel, Y Jia - Biomedical Optics Express, 2023 - opg.optica.org
Optical coherence tomography angiography (OCTA) is a high-resolution, depth-resolved
imaging modality with important applications in ophthalmic practice. An extension of …

A neural network method for time-dependent inverse source problem with limited-aperture data

P Zhang, P Meng, W Yin, H Liu - Journal of Computational and Applied …, 2023 - Elsevier
This paper is concerned with the mathematical design of a novel gesture-based
input/instruction device with identification and prediction using a moving emitter. The emitter …

Optical coherence tomography (OCT) angiolytics: a review of OCT angiography quantitative biomarkers

G Kalra, J Zarranz-Ventura, R Chahal… - Survey of …, 2022 - Elsevier
Optical coherence tomography angiography (OCTA) provides a non-invasive method to
obtain angiography of the chorioretinal vasculature leading to its recent widespread …

[HTML][HTML] A deep learning network for classifying arteries and veins in montaged widefield OCT angiograms

M Gao, Y Guo, TT Hormel, K Tsuboi, G Pacheco… - Ophthalmology …, 2022 - Elsevier
Purpose To propose a deep-learning− based method to differentiate arteries from veins in
montaged widefield OCT angiography (OCTA). Design Cross-sectional study. Participants A …

[HTML][HTML] Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning

Y Guo, TT Hormel, H **ong, J Wang… - … vision science & …, 2020 - iovs.arvojournals.org
Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid
Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) …

Machine learning in optical coherence tomography angiography

D Le, T Son, X Yao - Experimental Biology and Medicine, 2021 - journals.sagepub.com
Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution
for imaging retinal vasculatures at the capillary level resolution. In principle, improved …

OCTA-500: a retinal dataset for optical coherence tomography angiography study

M Li, K Huang, Q Xu, J Yang, Y Zhang, Z Ji, K **e… - Medical image …, 2024 - Elsevier
Optical coherence tomography angiography (OCTA) is a novel imaging modality that has
been widely utilized in ophthalmology and neuroscience studies to observe retinal vessels …