1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning
Timothy T. Yu, Da Ma, Jayden Cole +3
Optical coherence tomography (OCT) captures cross-sectional data and is used for the screening, monitoring, and treatment planning of retinal diseases. Technological developments t…
eess.IV2022★ 1 cited
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
Shuo Chen, Da Ma, Sieun Lee +7
Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imagin…
eess.IV2021★ 1 cited
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography
Ricky Chen, Timothy T. Yu, Gavin Xu +3
With the FDA approval of Artificial Intelligence (AI) for point-of-care clinical diagnoses, model generalizability is of the utmost importance as clinical decision-making must be d…