4 citations · 6 across the 4 of their papers we have counts for
4 papers
Asymmetric Patch Sampling for Contrastive Learning
Chengchao Shen, Jianzhong Chen, Shu Wang +3
Asymmetric appearance between positive pair effectively reduces the risk of representation degradation in contrastive learning. However, there are still a mass of appearance simila…
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Jin Liu, Junbin Mao, Hanhe Lin +6
Due to its complexity, graph learning-based multi-modal integration and classification is one of the most challenging obstacles for disease prediction. To effectively offset the ne…
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
Fangyu Zhang, Yanjie Wei, Jin Liu +3
The development of noninvasive brain imaging such as resting-state functional magnetic resonance imaging (rs-fMRI) and its combination with AI algorithm provides a promising soluti…
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Xu Tian, Jin Liu, Hulin Kuang +3
Accurately detecting Alzheimer's disease (AD) and predicting mini-mental state examination (MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI). M…