239 citations · 513 across the 18 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 11 cited
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
Yuankai Huo, Zhoubing Xu, Shunxing Bao +3
A lack of generalizability is one key limitation of deep learning based segmentation. Typically, one manually labels new training images when segmenting organs in different imaging…
cs.CV2017★ 8 cited
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Yuankai Huo, Zhoubing Xu, Shunxing Bao +7
Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally enlarged spleen) on Magnetic Resonance Imaging (MRI) scans. In…
cs.CV2017★ 9 cited
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Dong Yang, Tao Xiong, Daguang Xu +10
Automatic localization and labeling of vertebra in 3D medical images plays an important role in many clinical tasks, including pathological diagnosis, surgical planning and postope…