16 citations · 25 across the 4 of their papers we have counts for
5 papers
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
Zhihui Guo, Junjie Bai, Yi Lu +5
A novel centerline extraction framework is reported which combines an end-to-end trainable multi-task fully convolutional network (FCN) with a minimal path extractor. The FCN simul…
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding
Bin Kong, Xin Wang, Junjie Bai +7
Modeling the sequential information of image sequences has been a vital step of various vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its superb…
Residual Attention based Network for Hand Bone Age Assessment
Eric Wu, Bin Kong, Xin Wang +8
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the…
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…
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space
Abhay Shah, Michael D. Abramoff, Xiaodong Wu
Optimal surface segmentation is a state-of-the-art method used for segmentation of multiple globally optimal surfaces in volumetric datasets. The method is widely used in numerous…