In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression. Current architectures of GCNs are limited to the small receptive field of convolution filters and ...

Extracting hepatic vasculature from 3D imagery is important for diagnosis of liver disease and planning liver surgery. In this paper we propose to segment vessels from liver CT images using a 3D graph ...