142 citations · 330 across the 13 of their papers we have counts for
13 papers
Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy
Albert K. Dadzie, David Le, Mansour Abtahi +4
Purpose: To evaluate the sensitivity of normalized blood flow index (NBFI) for detecting early diabetic retinopathy (DR). Methods: Optical coherence tomography angiography (OCTA) i…
A portable widefield fundus camera with high dynamic range imaging capability
Alfa Rossi, Mojtaba Rahimi, David Le +4
Fundus photography is indispensable for clinical detection and management of eye diseases. Limited image contrast and field of view (FOV) are common limitations of conventional fun…
Intrinsic signal optoretinography of dark adaptation abnormality due to rod degeneration
Jie Ding, Tae-Hoon Kim, Guangying Ma +1
Significance: Multiple eye diseases such as age-related macular degeneration, diabetic retinopathy, and retinitis pigmentosa can cause photoreceptor dysfunction. Rod photoreceptors…
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…
Intrinsic signal optoretinography of dark adaptation kinetics
Tae-Hoon Kim, Jie Ding, Xincheng Yao
Delayed dark adaptation due to impaired rod photoreceptor homeostasis has been reported as the earliest symptom of eye diseases such as age-related macular degeneration, diabetic r…
Quantitative optical coherence tomography reveals rod photoreceptor degeneration in early diabetic retinopathy
David Le, Taeyoon Son, Jennifer I. Lim +1
Purpose: This study is to test the feasibility of optical coherence tomography (OCT) detection of photoreceptor abnormality and to verify the photoreceptor abnormality is rod predo…
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity
David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour +2
Federated learning (FL) has emerged as a popular technique for distributing machine learning across wireless edge devices. We examine FL under two salient properties of contemporar…
Understanding the relationship between visual-angle and eye-angle for reliable determination of the field-of-view in ultra-wide field fundus photography
Xincheng Yao, Devrim Toslak, Taeyoon Son +1
Abstract: Visual-angle has been used as the conventional unit to determine the field-of-view (FOV) in traditional fundus photography. Recently emerging usage of eye-angle as the un…
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…
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
David Le, Minhaj Alam, Cham Yao +4
Purpose: To test the feasibility of using deep learning for optical coherence tomography angiography (OCTA) detection of diabetic retinopathy (DR). Methods: A deep learning convolu…
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…