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2020 – today
- 2024
[j8]Guangkai Ma, Wenjiao Li, Heng Bao, Nathan James Roberts, Yang Li, Weihua Zhang, Kun Yang, Guangshun Jiang:
UAV equipped with infrared imaging for Cervidae monitoring: Improving detection accuracy by eliminating background information interference. Ecol. Informatics 81: 102651 (2024)- 2020
- [j7]Guangkai Ma, Chunpeng Ge, Lu Zhou:
Achieving reliable timestamp in the bitcoin platform. Peer-to-Peer Netw. Appl. 13(6): 2251-2259 (2020)
2010 – 2019
- 2018
- [j6]Zhengwang Wu
, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen:
Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. 43: 10-22 (2018) - [j5]Yan Wang, Guangkai Ma, Xi Wu, Jiliu Zhou:
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation. Neuroinformatics 16(3-4): 411-423 (2018) - 2017
- [j4]Guangkai Ma, Yan Wang, Ligang Wu:
Subspace ensemble learning via totally-corrective boosting for gait recognition. Neurocomputing 224: 119-127 (2017) - [j3]Guangkai Ma, Ligang Wu, Yan Wang:
A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition. Pattern Recognit. 66: 280-294 (2017) - [j2]Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen:
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. 64(3): 569-579 (2017) - 2016
- [j1]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25(7): 3303-3315 (2016) - [c8]Yan Wang, Xi Wu, Guangkai Ma, Zongqing Ma, Ying Fu, Jiliu Zhou:
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method. MLMI@MICCAI 2016: 86-94 - 2015
- [c7]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI 2015: 1-9 - [c6]Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen:
Soft-Split Random Forest for Anatomy Labeling. MLMI 2015: 17-25 - [c5]Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen:
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. Patch-MI@MICCAI 2015: 37-45 - [c4]Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen:
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. MLMI 2015: 127-135 - [c3]Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) 2015: 719-726 - 2014
- [c2]Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV 2014: 97-104 - [c1]Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen:
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI 2014: 280-288
Coauthor Index
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