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eess.IV2026
Algorithmic statistics of retinal images
Loan Huynh, Ronald Zambrano, Layton Aho +4
There has been a tremendous amount of image processing and machine learning research to measure and classify disease progression from live optical coherence tomography (OCT) imagin…
eess.IV2023
Self-supervised OCT Image Denoising with Slice-to-Slice Registration and Reconstruction
Shijie Li, Palaiologos Alexopoulos, Anse Vellappally +3
Strong speckle noise is inherent to optical coherence tomography (OCT) imaging and represents a significant obstacle for accurate quantitative analysis of retinal structures which…