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ORCIDXiuying Wang
- > Home > Persons > Xiuying Wang
Publications
- 2016
[c39]Ke Yan, Changyang Li, Xiuying Wang
, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim:
Automatic prostate segmentation on MR images with deep network and graph model. EMBC 2016: 635-638- [c37]Ang Li, Xiuying Wang, Ke Yan, Changyang Li, Dagan Feng:
Multilevel affinity graph for unsupervised image segmentation. ICIP 2016: 1264-1268 - [c36]Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng:
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. ICIP 2016: 2767-2771 - [c34]Ke Yan, ChangYang Li, Xiuying Wang, Yuchen Yuan, Ang Li, Jinman Kim, Biao Li, Dagan Feng:
Comprehensive autoencoder for prostate recognition on MR images. ISBI 2016: 1190-1194 - 2015
- [j16]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. IEEE Trans. Biomed. Eng. 62(1): 196-207 (2015) - 2014
- [c29]ChangYang Li, Ang Li, Xiuying Wang, Dagan Feng, Stefan Eberl, Michael J. Fulham:
A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images. ICARCV 2014: 642-647 - 2013
- [j11]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, Jinhu Chen, David Dagan Feng:
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. IEEE Trans. Biomed. Eng. 60(10): 2967-2977 (2013) - [j10]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Robust Model for Segmenting Images With/Without Intensity Inhomogeneities. IEEE Trans. Image Process. 22(8): 3296-3309 (2013) - [j9]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
A New Energy Framework With Distribution Descriptors for Image Segmentation. IEEE Trans. Image Process. 22(9): 3578-3590 (2013) - [j8]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309]. IEEE Trans. Image Process. 22(9): 3729 (2013) - [j7]ChangYang Li, Xiuying Wang, Junli Li, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images. IEEE J. Biomed. Health Informatics 17(1): 92-102 (2013) - [c26]Ang Li, ChangYang Li, Xiuying Wang, Stefan Eberl, David Dagan Feng, Michael J. Fulham:
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. DICTA 2013: 1-7 - 2012
- [j6]ChangYang Li, Xiuying Wang, Yong Xia, Stefan Eberl, Yong Yin, David Dagan Feng:
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Comput. Methods Programs Biomed. 107(2): 164-174 (2012) - [c23]ChangYang Li, Xiuying Wang, Jinhu Chen, Yong Yin, David Dagan Feng:
PET-guided liver segmentation for low-contrast CT via regularized Chan-Vese model. BHI 2012: 816-819 - 2011
- [c18]Xiuying Wang, Chaojie Zheng, Changyang Li, Yong Yin, David Dagan Feng:
Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy. EMBC 2011: 3415-3418 - 2010
- [c11]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. ICIP 2010: 1733-1736
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