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Shu Liao
Dinggang Shen

Showing results (1-10 of 1,228) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 19, 2012
A feature-based learning framework for accurate prostate localization in CT imagesShu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 4, 2014
A Learning based Hierarchical Framework for Automatic Prostate Localization in CT ImagesShu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Sparse patch based prostate segmentation in CT imagesShu Liao, Yaozong Gao, Dinggang Shen
Medical Physics|November 4, 2011
Learning statistical correlation for fast prostate registration in image-guided radiotherapyYonghong Shi, Shu Liao, Dinggang Shen
Neuroinformatics|August 11, 2012
A statistical framework for inter-group image registrationShu Liao, Guorong Wu, Dinggang Shen
Medical Physics|October 9, 2012
Prostate segmentation by sparse representation based classificationYaozong Gao, Shu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Prostate segmentation by sparse representation based classificationYaozong Gao, Shu Liao, Dinggang Shen
Machine Learning in Medical Imaging. MLMI (Workshop)|October 4, 2014
Learning Statistical Correlation of Prostate Deformations for Fast RegistrationYonghong Shi, Shu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Representation learning: a unified deep learning framework for automatic prostate MR segmentationShu Liao, Yaozong Gao, Aytekin Oto, et al.
IEEE Transactions on Medical Imaging|December 4, 2012
Sparse patch-based label propagation for accurate prostate localization in CT imagesShu Liao, Yaozong Gao, Jun Lian, et al.
Pageof 123

Showing results (1-10 of 1,228) with videos related to

Sort By:
Pageof 123
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 19, 2012
A feature-based learning framework for accurate prostate localization in CT imagesShu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 4, 2014
A Learning based Hierarchical Framework for Automatic Prostate Localization in CT ImagesShu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Sparse patch based prostate segmentation in CT imagesShu Liao, Yaozong Gao, Dinggang Shen
Medical Physics|November 4, 2011
Learning statistical correlation for fast prostate registration in image-guided radiotherapyYonghong Shi, Shu Liao, Dinggang Shen
Neuroinformatics|August 11, 2012
A statistical framework for inter-group image registrationShu Liao, Guorong Wu, Dinggang Shen
Medical Physics|October 9, 2012
Prostate segmentation by sparse representation based classificationYaozong Gao, Shu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Prostate segmentation by sparse representation based classificationYaozong Gao, Shu Liao, Dinggang Shen
Machine Learning in Medical Imaging. MLMI (Workshop)|October 4, 2014
Learning Statistical Correlation of Prostate Deformations for Fast RegistrationYonghong Shi, Shu Liao, Dinggang Shen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Representation learning: a unified deep learning framework for automatic prostate MR segmentationShu Liao, Yaozong Gao, Aytekin Oto, et al.
IEEE Transactions on Medical Imaging|December 4, 2012
Sparse patch-based label propagation for accurate prostate localization in CT imagesShu Liao, Yaozong Gao, Jun Lian, et al.
Pageof 123