Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis
Baiying Lei(Shenzhen University), Zhiguo Zhang(Beijing University of Posts and Telecommunications), Demao Deng(Guangxi University of Chinese Medicine), Gaoxiong Duan(Guangxi University of Chinese Medicine), Tianfu Wang(Shenzhen University), Alejandro F. Frangi(Manchester Academic Health Science Centre), Xiucheng Nong(Guangxi University of Chinese Medicine), Bihan Yu(Guangxi University of Chinese Medicine), Jiahui Su(Zhujiang Hospital), Chong Li, Yichen Wei(Guangxi University), Lihua Zhao(Guangxi University of Chinese Medicine), Wei Mai(The People's Hospital of Guangxi Zhuang Autonomous Region), Lingyan Liang(Guangxi University), Nina Cheng(University of Leeds)
Cited by 19
Related Papers
Genome-wide association study of intracranial aneurysm identifies three new risk loci
|Nature Genetics|2010|318
Skin lesion segmentation via generative adversarial networks with dual discriminators
|Medical Image Analysis|2020|278
Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
|Journal of Medical Internet Research|2019|268
A vision and strategy for the virtual physiological human in 2010 and beyond
|Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences|2010|159
Integrated Self‐Powered Sensors Based on 2D Material Devices
|Advanced Functional Materials|2022|127