Xiangzhu Zeng

According to our database1, Xiangzhu Zeng authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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.
BMC Medical Imaging, December, 2024

Contrastive voxel clustering for multiscale modeling of brain network.
NeuroImage, 2024

2023
An extensible hierarchical graph convolutional network for early Alzheimer's disease identification.
Comput. Methods Programs Biomed., August, 2023

CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage, May, 2023

Voxel-Level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Multi-resolution 3D-HOG feature learning method for Alzheimer's Disease diagnosis.
Comput. Methods Programs Biomed., 2022

A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer's Disease based on Hippocampal Subfields.
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.
Medical Image Anal., 2021

Knowledge transfer between brain lesion segmentation tasks with increased model capacity.
Comput. Medical Imaging Graph., 2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
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.
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.
Medical Image Anal., 2020

Region-of-Interest based sparse feature learning method for Alzheimer's disease identification.
Comput. Methods Programs Biomed., 2020

Frequency-Selective Learning for CT to MR Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Volume Preserving Brain Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Super-Resolved q-Space Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.
Proceedings of the Information Processing in Medical Imaging, 2019

Comparison and Analyzation of Different Feature Parameters for Alzheimer's disease Identification.
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.
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.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


  Loading...