24 citations · 95 across the 12 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 4 cited
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
Hui Xie, Zhe Pan, Leixin Zhou +5
Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary and mutual influence between adjacent ob…
eess.IV2020★ 1 cited
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
Leixin Zhou, Xiaodong Wu
Automated surface segmentation is important and challenging in many medical image analysis applications. Recent deep learning based methods have been developed for various object s…
cs.CV2020★ 13 cited
Unsupervised anomaly localization using VAE and beta-VAE
Leixin Zhou, Wenxiang Deng, Xiaodong Wu
Variational Auto-Encoders (VAEs) have shown great potential in the unsupervised learning of data distributions. An VAE trained on normal images is expected to only be able to recon…