91 citations · 131 across the 8 of their papers we have counts for
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stat.CO2016
BayesBD: An R Package for Bayesian Inference on Image Boundaries
Nicholas Syring, Meng Li
We present the BayesBD package providing Bayesian inference for boundaries of noisy images. The BayesBD package implements flexible Gaussian process priors indexed by the circle to…
stat.ME2016★ 10 cited
Robust and rate-optimal Gibbs posterior inference on the boundary of a noisy image
Nicholas Syring, Ryan Martin
Detection of an image boundary when the pixel intensities are measured with noise is an important problem in image segmentation, with numerous applications in medical imaging and e…