activity
20192022
most citedTransfer Learning for Automated OCTA Detection of Diabetic Retinopathy

142 citations · 286 across the 8 of their papers we have counts for

collaborators

8 papers

physics.med-ph2022★ 5 cited

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…

physics.med-ph2022★ 6 cited

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…

eess.IV2022★ 4 cited

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…

q-bio.QM2021★ 1 cited

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…

cs.NI2021★ 1 cited

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…

eess.IV2020★ 5 cited

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…