142 citations · 286 across the 8 of their papers we have counts for
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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…
q-bio.QM2019★ 142 cited
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…
q-bio.QM2019★ 122 cited
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…