122 citations · 131 across the 5 of their papers we have counts for
5 papers
Functional Optical Coherence Tomography for Intrinsic Signal Optoretinography: Recent Developments and Deployment Challenges
Tae-Hoon Kim, Guangying Ma, Taeyoon Son +1
Intrinsic optical signal (IOS) imaging of the retina, also termed as optoretinography (ORG), promises a noninvasive method for objective assessment of retinal function. By providin…
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography
Shaiban Ahmed, David Le, Taeyoon Son +6
Chromatic dispersion is a common problem to degrade the system resolution in optical coherence tomography (OCT). This study is to develop a deep learning network for automated disp…
AV-Net: Deep learning for fully automated artery-vein classification in optical coherence tomography angiography
Minhaj Alam, David Le, Taeyoon Son +2
This study is to demonstrate deep learning for automated artery-vein (AV) classification in optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional netwo…
Trans-pars-planar illumination enables 200° ultra-wide field pediatric fundus photography for easy examination of the retina
Devrim Toslak, Felix Chau, Muhammet Kazim Erol +4
This study is to test the feasibility of using trans-pars-planar illumination for ultrawide field pediatric fundus photography. Fundus examination of the peripheral retina is essen…
Supervised machine learning based multi-task artificial intelligence classification of retinopathies
Minhaj Alam, David Le, Jennifer I. Lim +2
Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which su…