142 citations · 276 across the 6 of their papers we have counts for
6 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…
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh +6
Self supervised contrastive learning based pretraining allows development of robust and generalized deep learning models with small, labeled datasets, reducing the burden of label…
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…
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…
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…