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Zhoubing Xu

Showing results (1-10 of 41) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|September 15, 2012
Generalized Statistical Label Fusion using Multiple Consensus LevelsZhoubing Xu, Andrew J Asman, Bennett A Landman
Proceedings of Spie--The International Society for Optical Engineering|January 4, 2014
Automatic Segmentation of Abdominal Wall in Ventral Hernia CT: A Pilot StudyZhoubing Xu, Wade M Allen, Benjamin K Poulose, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2013
Collaborative Labeling of Malignant Glioma with WebMILL: A First LookEesha Singh, Andrew J Asman, Zhoubing Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2017
Multi-Atlas Spleen Segmentation on CT Using Adaptive Context LearningJiaqi Liu, Yuankai Huo, Zhoubing Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 31, 2014
Quantitative Anatomical Labeling of the Anterior Abdominal WallWade M Allen, Zhoubing Xu, Andrew J Asman, et al.
Medical Physics|October 9, 2012
Segmentation of malignant gliomas through remote collaboration and statistical fusionZhoubing Xu, Andrew J Asman, Eesha Singh, et al.
Medical Physics|December 11, 2013
Texture analysis improves level set segmentation of the anterior abdominal wallZhoubing Xu, Wade M Allen, Rebeccah B Baucom, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 25, 2014
COLLABORATIVE LABELING OF MALIGNANT GLIOMAZhoubing Xu, Andrew J Asman, Eesha Singh, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 30, 2016
Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level SetZhoubing Xu, Rebeccah B Baucom, Richard G Abramson, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
SIMPLE is a good idea (and better with context learning)Zhoubing Xu, Andrew J Asman, Peter L Shanahan, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Proceedings of Spie--The International Society for Optical Engineering|September 15, 2012
Generalized Statistical Label Fusion using Multiple Consensus LevelsZhoubing Xu, Andrew J Asman, Bennett A Landman
Proceedings of Spie--The International Society for Optical Engineering|January 4, 2014
Automatic Segmentation of Abdominal Wall in Ventral Hernia CT: A Pilot StudyZhoubing Xu, Wade M Allen, Benjamin K Poulose, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2013
Collaborative Labeling of Malignant Glioma with WebMILL: A First LookEesha Singh, Andrew J Asman, Zhoubing Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2017
Multi-Atlas Spleen Segmentation on CT Using Adaptive Context LearningJiaqi Liu, Yuankai Huo, Zhoubing Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 31, 2014
Quantitative Anatomical Labeling of the Anterior Abdominal WallWade M Allen, Zhoubing Xu, Andrew J Asman, et al.
Medical Physics|October 9, 2012
Segmentation of malignant gliomas through remote collaboration and statistical fusionZhoubing Xu, Andrew J Asman, Eesha Singh, et al.
Medical Physics|December 11, 2013
Texture analysis improves level set segmentation of the anterior abdominal wallZhoubing Xu, Wade M Allen, Rebeccah B Baucom, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 25, 2014
COLLABORATIVE LABELING OF MALIGNANT GLIOMAZhoubing Xu, Andrew J Asman, Eesha Singh, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 30, 2016
Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level SetZhoubing Xu, Rebeccah B Baucom, Richard G Abramson, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
SIMPLE is a good idea (and better with context learning)Zhoubing Xu, Andrew J Asman, Peter L Shanahan, et al.
Pageof 5