Guangkai Ma

According to our database, Guangkai Ma authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UAV equipped with infrared imaging for Cervidae monitoring: Improving detection accuracy by eliminating background information interference.

Guangkai Ma, Wenjiao Li, Heng Bao, Nathan James Roberts, Yang Li, Weihua Zhang, Kun Yang, Guangshun Jiang

Ecol. Informatics, 2024

2020

Achieving reliable timestamp in the bitcoin platform.

Guangkai Ma, Chunpeng Ge, Lu Zhou

Peer-to-Peer Netw. Appl., 2020

2018

Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.

Yan Wang, Guangkai Ma, Xi Wu, Jiliu Zhou

Neuroinformatics, 2018

Segmenting hippocampal subfields from 3T MRI with multi-modality images.

Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen

Medical Image Anal., 2018

2017

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen

IEEE Trans. Biomed. Eng., 2017

A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition.

Guangkai Ma, Ligang Wu, Yan Wang

Pattern Recognit., 2017

Subspace ensemble learning via totally-corrective boosting for gait recognition.

Guangkai Ma, Yan Wang, Ligang Wu

Neurocomputing, 2017

2016

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.

Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen

IEEE Trans. Image Process., 2016

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.

Yan Wang, Xi Wu, Guangkai Ma, Zongqing Ma, Ying Fu, Jiliu Zhou

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.

Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling.

Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Soft-Split Random Forest for Anatomy Labeling.

Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI.

Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.

Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

2014

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling.

Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images.

Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014