142 citations · 272 across the 11 of their papers we have counts for
3 papers · 1 filter
Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy
Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim +2
Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, highlighting the need for accurate and accessible screening tools. Optical Coherence Tomography (OCT) p…
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…
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…