2 citations · 2 across the 3 of their papers we have counts for
3 papers
Learning to Generate Novel Classes for Deep Metric Learning
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong +1
Deep metric learning aims to learn an embedding space where the distance between data reflects their class equivalence, even when their classes are unseen during training. However,…
Automated segmentation of choroidal layers from 3-dimensional macular optical coherence tomography scans
Kyungmoo Lee, Alexis K. Warren, Michael D. Abramoff +8
Background: Changes in choroidal thickness are associated with various ocular diseases and the choroid can be imaged using spectral-domain optical coherence tomography (SDOCT) and…
Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm
Adnan Rashid, Sebastian M. Waldstein, Bianca S. Gerendas +8
PURPOSE: Establishing and obtaining consistent quantitative indices of retinal thickness from a variety of clinically used Spectral-Domain Optical Coherence Tomography scanners. DE…