Work

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition

Year: 2021

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2021.102294

Authors: Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen

Institutions: Shanghai University, Jiangnan University, Nanjing University of Science and Technology, ShanghaiTech University, United Imaging Intelligence (China)

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: Mapping Heterogeneity of Neuroanatomical Imaging Signatures of Psychosis via Pattern Analysis, G3933175036, Quantitative Behavioral and Imaging Phenotypes of Amotivation in Schizophrenia, G4789261383, Biomedical Image Computing and Informatics Cluster, Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortium, Inter-modal Coupling Image Analytics, Interpretable Deep Learning for Analyzing Brain Development Heterogeneity with Personalized Functional Networks Across Multi-Site Data, Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease, Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks

OpenAlex ID: W3208437471

FWCI: 2.495

Cites: 59

Cited by: 29

Related to: 10