The following publications are possibly variants of this publication:
- Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI DataLi Xiao 0002, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang. tmi, 39(5):1746-1758, 2020. [doi]
- Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosisBaiying Lei, Nina Cheng, Alejandro F. Frangi, Yichen Wei, Bihan Yu, Lingyan Liang, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Tianfu Wang, Lihua Zhao, Demao Deng, Zhiguo Zhang 0001. mia, 74:102248, 2021. [doi]
- Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule NetworksZhicheng Jiao, Hongming Li, Yong Fan 0001. isbi 2020: 1331-1334 [doi]
- Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum DisorderFeng Zhao 0006, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen. tbe, 69(3):1237-1250, 2022. [doi]
- Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality DataMingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen. miccai 2016: 308-316 [doi]
- Hypergraph-Enhanced Textual-Visual Matching Network for Cross-Modal Remote Sensing Image Retrieval via Dynamic Hypergraph LearningFanglong Yao, Xian Sun, Nayu Liu, Changyuan Tian, Liangyu Xu, Leiyi Hu, Chibiao Ding. staeors, 16:688-701, 2023. [doi]