39 citations · 64 across the 3 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2019
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields
Leixin Zhou, Zisha Zhong, Abhay Shah +3
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.CV2017★ 1 cited
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Junjie Bai, Abhay Shah, Xiaodong Wu
Shape priors have been widely utilized in medical image segmentation to improve segmentation accuracy and robustness. A major way to encode such a prior shape model is to use a mes…
cs.CV2017★ 24 cited
Simultaneous Multiple Surface Segmentation Using Deep Learning
Abhay Shah, Michael Abramoff, Xiaodong Wu
The task of automatically segmenting 3-D surfaces representing boundaries of objects is important for quantitative analysis of volumetric images, and plays a vital role in biomedic…