3.1k citations · 7.6k across the 74 of their papers we have counts for
4 papers · 2 filters
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…
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni +1
Whole brain segmentation and cortical surface parcellation are essential in understanding the anatomical-functional relationships of the brain. Multi-atlas segmentation has been re…
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…
4D Multi-atlas Label Fusion using Longitudinal Images
Yuankai Huo, Susan M. Resnick, Bennett A. Landman
Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have show…