59 citations · 123 across the 10 of their papers we have counts for
4 papers · 1 filter
Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
Jinyi Hao, Jie Wang, Liqin Gao +8
Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making R…
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map
Pengxiao Zang, Tristan T. Hormel, Jie Wang +6
Deep learning classifiers provide the most accurate means of automatically diagnosing diabetic retinopathy (DR) based on optical coherence tomography (OCT) and its angiography (OCT…
Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning
Yukun Guo, Tristan T. Hormel, Honglian Xiong +3
Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid Segmentation Network (ReF-Net) to segment volumetric retinal fluid on optical coherence tomograp…
Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning
Min Gao, Yukun Guo, Tristan T. Hormel +3
Typical optical coherence tomographic angiography (OCTA) acquisition areas on commercial devices are 3x3- or 6x6-mm. Compared to 3x3-mm angiograms with proper sampling density, 6x6…