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Jiayin Kang

Showing results (1-10 of 5) with videos related to

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Machine Learning in Medical Imaging. MLMI (Workshop)|December 4, 2018
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI DataTri Huynh, Yaozong Gao, Jiayin Kang, et al.
Medical Physics|September 3, 2015
Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET imagesJiayin Kang, Yaozong Gao, Feng Shi, et al.
IEEE Transactions on Medical Imaging|August 5, 2015
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context ModelTri Huynh, Yaozong Gao, Jiayin Kang, et al.
Physics in Medicine and Biology|January 7, 2016
Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representationYan Wang, Pei Zhang, Le An, et al.
Genes|January 8, 2025
The Complete Mitochondrial Genome of the <i>Luciocyprinus langsoni</i> (Cypriniformes: Cyprinidae): Characterization, Phylogeny, and Genetic Diversity AnalysisTiezhu Yang, Chenxi Tan, Liangjie Zhao, et al.
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Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Machine Learning in Medical Imaging. MLMI (Workshop)|December 4, 2018
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI DataTri Huynh, Yaozong Gao, Jiayin Kang, et al.
Medical Physics|September 3, 2015
Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET imagesJiayin Kang, Yaozong Gao, Feng Shi, et al.
IEEE Transactions on Medical Imaging|August 5, 2015
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context ModelTri Huynh, Yaozong Gao, Jiayin Kang, et al.
Physics in Medicine and Biology|January 7, 2016
Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representationYan Wang, Pei Zhang, Le An, et al.
Genes|January 8, 2025
The Complete Mitochondrial Genome of the <i>Luciocyprinus langsoni</i> (Cypriniformes: Cyprinidae): Characterization, Phylogeny, and Genetic Diversity AnalysisTiezhu Yang, Chenxi Tan, Liangjie Zhao, et al.
Pageof 1