Xiangzhu Zeng

According to our database, Xiangzhu Zeng authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

The value of color doppler ultrasonography combined with computed tomography angiography and magnetic resonance angiography in the preoperative quantification and classification of carotid body tumors: a retrospective analysis.

Li Zhiqiang, Wang Yihua, Fu Ying, Shiwei Zhu, Xiangzhu Zeng, Ligang Cui

BMC Medical Imaging, December, 2024

2023

An extensible hierarchical graph convolutional network for early Alzheimer's disease identification.

Xu Tian, Yan Liu, Ling Wang, Xiangzhu Zeng, Yulang Huang, Zeng Wang

Comput. Methods Programs Biomed., August, 2023

CarveMix: A simple data augmentation method for brain lesion segmentation.

Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye

NeuroImage, May, 2023

Voxel-Level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease.

Zhiyuan Ding, Wenjing Lu, Ling Wang, Xiangzhu Zeng, Tong Zhao, Xu Tian, Zeng Wang, Yan Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Multi-resolution 3D-HOG feature learning method for Alzheimer's Disease diagnosis.

Zhiyuan Ding, Yan Liu, Xu Tian, Wenjing Lu, Zheng Wang, Xiangzhu Zeng, Ling Wang

Comput. Methods Programs Biomed., 2022

A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer's Disease based on Hippocampal Subfields.

Hongbo Xu, Yan Liu, Xiangzhu Zeng, Ling Wang, Zeng Wang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Super-Resolved q-Space deep learning with uncertainty quantification.

Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye

Medical Image Anal., 2021

Knowledge transfer between brain lesion segmentation tasks with increased model capacity.

Yanlin Liu, Wenhui Cui, Qing Ha, Xiaoliang Xiong, Xiangzhu Zeng, Chuyang Ye

Comput. Medical Imaging Graph., 2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.

Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.

Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

An improved deep network for tissue microstructure estimation with uncertainty quantification.

Chuyang Ye, Yuxing Li, Xiangzhu Zeng

Medical Image Anal., 2020

Region-of-Interest based sparse feature learning method for Alzheimer's disease identification.

Ling Wang, Yan Liu, Xiangzhu Zeng, Hong Cheng, Zheng Wang, Qiang Wang

Comput. Methods Programs Biomed., 2020

Frequency-Selective Learning for CT to MR Synthesis.

Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.

Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Volume Preserving Brain Lesion Segmentation.

Yanlin Liu, Xiangzhu Zeng, Chuyang Ye

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Super-Resolved q-Space Deep Learning.

Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.

Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye

Proceedings of the Information Processing in Medical Imaging, 2019

Comparison and Analyzation of Different Feature Parameters for Alzheimer's disease Identification.

Yan Liu, Xiangzhu Zeng, Ling Wang, Hong Cheng, Zheng Wang, Qiang Wang

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Elastic Net based sparse feature learning and classification for Alzheimer's disease identification.

Ling Wang, Yan Liu, Hong Cheng, Xiangzhu Zeng, Zheng Wang

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Compartmental sparse feature selection method for Alzheimer's disease identification.

Yan Liu, Ling Wang, Xiangzhu Zeng, Zheng Wang, Yajun Gao, Qiuyue Wang

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017