Compartmental sparse feature selection method for Alzheimer's disease identification. - Yan Liu 054; Ling Wang 013; Xiangzhu Zeng; Zheng Wang; Yajun Gao; Qiuyue Wang (EMBC, 2017)

Elastic Net based sparse feature learning and classification for Alzheimer's disease identification. - Ling Wang 013; Yan Liu 054; Hong Cheng 002; Xiangzhu Zeng; Zheng Wang (EMBC, 2017)

Comparison and Analyzation of Different Feature Parameters for Alzheimer's disease Identification. - Yan Liu 054; Xiangzhu Zeng; Ling Wang 013; Hong Cheng 002; Zheng Wang; Qiang Wang (EMBC, 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 002; Xiangzhu Zeng; Chuyang Ye (IPMI, 2019)

Super-Resolved q-Space Deep Learning. - Chuyang Ye; Yu Qin; Chenghao Liu; Yuxing Li; Xiangzhu Zeng; Zhiwen Liu (MICCAI (3), 2019)

Volume Preserving Brain Lesion Segmentation. - Yanlin Liu; Xiangzhu Zeng; Chuyang Ye (BrainLes@MICCAI (1), 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 (ISBI, 2020)

Frequency-Selective Learning for CT to MR Synthesis. - Zi Lin; Manli Zhong; Xiangzhu Zeng; Chuyang Ye (SASHIMI@MICCAI, 2020)

Region-of-Interest based sparse feature learning method for Alzheimer's disease identification. - Ling Wang 013; Yan Liu 054; Xiangzhu Zeng; Hong Cheng 002; Zheng Wang; Qiang Wang (Comput. Methods Programs Biomed., 2020)

An improved deep network for tissue microstructure estimation with uncertainty quantification. - Chuyang Ye; Yuxing Li; Xiangzhu Zeng (Medical Image Anal., 2020)

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. - Chenghao Liu; Xiangzhu Zeng; Kongming Liang; Yizhou Yu; Chuyang Ye (MICCAI (1), 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 (MICCAI (1), 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)

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)

A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer's Disease based on Hippocampal Subfields. - Hongbo Xu; Yan Liu 054; Xiangzhu Zeng; Ling Wang 013; Zeng Wang (EMBC, 2022)

Multi-resolution 3D-HOG feature learning method for Alzheimer's Disease diagnosis. - Zhiyuan Ding; Yan Liu 054; Xu Tian; Wenjing Lu; Zheng Wang; Xiangzhu Zeng; Ling Wang 013 (Comput. Methods Programs Biomed., 2022)

Voxel-Level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease. - Zhiyuan Ding; Wenjing Lu; Ling Wang 013; Xiangzhu Zeng; Tong Zhao; Xu Tian; Zeng Wang; Yan Liu 054 (ISBI, 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, 2023)

An extensible hierarchical graph convolutional network for early Alzheimer's disease identification. - Xu Tian; Yan Liu 054; Ling Wang 013; Xiangzhu Zeng; Yulang Huang; Zeng Wang (Comput. Methods Programs Biomed., 2023)

A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data. - Jiashu Guo; Deyuan Chen; Xiangzhu Zeng; Xiaoxuan Liu; Xujian Wang; Shenghua Teng; Kai Ye; Xingwen Sun; Shuo Zhang; Ji He; Dongsheng Fan; Yan Liu 054 (EMBC, 2024)

Contrastive voxel clustering for multiscale modeling of brain network. - Zhiyuan Ding; Yulang Huang; Xiangzhu Zeng; Shiyin Jiang; Shuyang Feng; Zhenduo Wang; Ling Wang 013; Zeng Wang; Yingying Xu; Yan Liu 054 (NeuroImage, 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. - Zhiqiang Li; Yihua Wang; Ying Fu; Shiwei Zhu; Xiangzhu Zeng; Ligang Cui (BMC Medical Imaging, 2024)

A Unified Spatiotemporal Frequency Graph Neural Network for fMRI-based Brain Functional Connectivity Analysis. - Yulang Huang; Zhiyuan Ding; Guokai Duan; Yan Liu 054; Xiangzhu Zeng; Zheng Wang; Yingying Xu; Ling Wang 013 (ICASSP, 2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. - Zhonghao Yan; Zijin Yin; Tianyu Lin; Xiangzhu Zeng; Kongming Liang; Zhanyu Ma (ISBI, 2025)

FLIQA-AD: a Fusion Model with Large Language Model for Better Diagnose and MMSE Prediction of Alzheimer's Disease. - Junhao Chen; Zhiyuan Ding; Yan Liu 054; Xiangzhu Zeng; Ling Wang 013 (NAACL (Short Papers), 2025)