18 citations · 64 across the 9 of their papers we have counts for
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eess.IV2020★ 11 cited
Learning Euler's Elastica Model for Medical Image Segmentation
Xu Chen, Xiangde Luo, Yitian Zhao +3
Image segmentation is a fundamental topic in image processing and has been studied for many decades. Deep learning-based supervised segmentation models have achieved state-of-the-a…
cs.LG2020
Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
Joshua Bridge, Simon P. Harding, Yalin Zheng
Prognostic models aim to predict the future course of a disease or condition and are a vital component of personalized medicine. Statistical models make use of longitudinal data to…
eess.IV2020★ 14 cited
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Yuhui Ma, Huaying Hao, Huazhu Fu +5
Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imaging technique, and has been increasingly used to image the retinal vasculature at capillary level resolution.…