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Changyang Li

Showing results (21-30 of 39) with videos related to

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IEEE Transactions on Bio-Medical Engineering|June 18, 2013
A likelihood and local constraint level set model for liver tumor segmentation from CT volumesChangyang Li, Xiuying Wang, Stefan Eberl, et al.
BMC Bioinformatics|February 4, 2017
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutationsYuchen Yuan, Yi Shi, Changyang Li, et al.
Applied Optics|November 18, 2014
Adaptive noise estimation from highly textured hyperspectral imagesPeng Fu, Changyang Li, Yong Xia, et al.
IEEE Journal of Biomedical and Health Informatics|November 30, 2012
Joint probabilistic model of shape and intensity for multiple abdominal organ segmentation from volumetric CT imagesChangyang Li, Xiuying Wang, Junli Li, et al.
IEEE Journal of Biomedical and Health Informatics|January 17, 2017
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic ImagesEuijoon Ahn, Jinman Kim, Lei Bi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Automated saliency-based lesion segmentation in dermoscopic imagesEuijoon Ahn, Lei Bi, Youn Hyun Jung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 19, 2016
Adapting content-based image retrieval techniques for the semantic annotation of medical imagesAshnil Kumar, Shane Dyer, Jinman Kim, et al.
IEEE Journal of Biomedical and Health Informatics|December 5, 2025
Domain Anchored Features for Classification of OCT ImagesZhiyu Ning, Ke Yan, Zhiyuan Ning, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Automatic prostate segmentation on MR images with deep network and graph modelKe Yan, Changyang Li, Xiuying Wang, et al.
Computers in Biology and Medicine|November 1, 2023
Hierarchical cumulative network for unsupervised medical image registrationXinke Ma, Jiang He, Xing Liu, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Bio-Medical Engineering|June 18, 2013
A likelihood and local constraint level set model for liver tumor segmentation from CT volumesChangyang Li, Xiuying Wang, Stefan Eberl, et al.
BMC Bioinformatics|February 4, 2017
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutationsYuchen Yuan, Yi Shi, Changyang Li, et al.
Applied Optics|November 18, 2014
Adaptive noise estimation from highly textured hyperspectral imagesPeng Fu, Changyang Li, Yong Xia, et al.
IEEE Journal of Biomedical and Health Informatics|November 30, 2012
Joint probabilistic model of shape and intensity for multiple abdominal organ segmentation from volumetric CT imagesChangyang Li, Xiuying Wang, Junli Li, et al.
IEEE Journal of Biomedical and Health Informatics|January 17, 2017
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic ImagesEuijoon Ahn, Jinman Kim, Lei Bi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Automated saliency-based lesion segmentation in dermoscopic imagesEuijoon Ahn, Lei Bi, Youn Hyun Jung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 19, 2016
Adapting content-based image retrieval techniques for the semantic annotation of medical imagesAshnil Kumar, Shane Dyer, Jinman Kim, et al.
IEEE Journal of Biomedical and Health Informatics|December 5, 2025
Domain Anchored Features for Classification of OCT ImagesZhiyu Ning, Ke Yan, Zhiyuan Ning, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Automatic prostate segmentation on MR images with deep network and graph modelKe Yan, Changyang Li, Xiuying Wang, et al.
Computers in Biology and Medicine|November 1, 2023
Hierarchical cumulative network for unsupervised medical image registrationXinke Ma, Jiang He, Xing Liu, et al.
Pageof 4