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Guangkai Ma

Showing results (1-10 of 9) with videos related to

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Neuroinformatics|March 8, 2018
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus SegmentationYan Wang, Guangkai Ma, Xi Wu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 5, 2016
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain LabelingGuangkai Ma, Yaozong Gao, Guorong Wu, et al.
Medical Physics|February 5, 2016
Nonlocal atlas-guided multi-channel forest learning for human brain labelingGuangkai Ma, Yaozong Gao, Guorong Wu, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|December 4, 2018
Soft-Split Random Forest for Anatomy LabelingGuangkai Ma, Yaozong Gao, Li Wang, et al.
Medical Image Analysis|September 30, 2017
Segmenting hippocampal subfields from 3T MRI with multi-modality imagesZhengwang Wu, Yaozong Gao, Feng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 18, 2016
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image EstimationLe An, Pei Zhang, Ehsan Adeli, et al.
IEEE Transactions on Bio-Medical Engineering|May 18, 2016
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRIYan Wang, Guangkai Ma, Le An, 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.
Integrative Zoology|March 21, 2024
Combination of facial and nose features of Amur tigers to determine ageCaiping Zhao, Wenrui Dai, Qiang Liu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neuroinformatics|March 8, 2018
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus SegmentationYan Wang, Guangkai Ma, Xi Wu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 5, 2016
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain LabelingGuangkai Ma, Yaozong Gao, Guorong Wu, et al.
Medical Physics|February 5, 2016
Nonlocal atlas-guided multi-channel forest learning for human brain labelingGuangkai Ma, Yaozong Gao, Guorong Wu, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|December 4, 2018
Soft-Split Random Forest for Anatomy LabelingGuangkai Ma, Yaozong Gao, Li Wang, et al.
Medical Image Analysis|September 30, 2017
Segmenting hippocampal subfields from 3T MRI with multi-modality imagesZhengwang Wu, Yaozong Gao, Feng Shi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 18, 2016
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image EstimationLe An, Pei Zhang, Ehsan Adeli, et al.
IEEE Transactions on Bio-Medical Engineering|May 18, 2016
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRIYan Wang, Guangkai Ma, Le An, 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.
Integrative Zoology|March 21, 2024
Combination of facial and nose features of Amur tigers to determine ageCaiping Zhao, Wenrui Dai, Qiang Liu, et al.
Pageof 1