Work

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-32251-9_52

Authors: Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li, the UNC/UMN Baby Connectome Project Consortium

Institutions: University of North Carolina at Chapel Hill, Zhejiang University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Institute of Mental Health

Awards: G597442328, G886436862, G9000065296, G9000130198, G9000135105, G9000283844, G904464750, G913149829

OpenAlex ID: W2980199629

FWCI: 2.531

Cites: 12

Cited by: 56

Related to: 10