6 citations · 13 across the 4 of their papers we have counts for
5 papers
A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs
Qinghua He, Hongyang Jiang, Danqi Fang +7
Diabetic macular ischemia (DMI), marked by the loss of retinal capillaries in the macular area, contributes to vision impairment in patients with diabetes. Although color fundus ph…
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN
Weiwen Zhang, Dawei Yang, Haoxuan Che +3
For optical coherence tomography angiography (OCTA) images, a limited scanning rate leads to a trade-off between field-of-view (FOV) and imaging resolution. Although larger FOV ima…
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation
Yuyan Ruan, Dawei Yang, Ziqi Tang +3
Optical coherence tomography angiography (OCTA) is a new imaging modality to visualize retinal microvasculature and has been readily adopted in clinics. High-resolution OCT angiogr…
Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks
Erfan Noury, Suria S. Mannil, Robert T. Chang +10
We describe a new approach to automated Glaucoma detection in 3D Spectral Domain Optical Coherence Tomography (OCT) optic nerve scans. First, we gathered a unique and diverse multi…
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Xi Wang, Hao Chen, Luyang Luo +5
Optical Coherence Tomography (OCT) imaging plays an important role in glaucoma diagnosis in clinical practice. Early detection and timely treatment can prevent glaucoma patients fr…