Work

Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images

Year: 2020

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2020.101817

Authors: Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap

Institutions: University of North Carolina at Chapel Hill, Sichuan University, Beijing Institute of Technology, Korea 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: green

Funders: China Scholarship Council, National Institutes of Health, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering

Awards: Analyzing Large-Scale Neuroimaging Data in Alzheimer's Disease, Longitudinal Mapping of Human Brain Development in the First Years of Life

OpenAlex ID: W3091131821

FWCI: 1.944

Cites: 71

Cited by: 37

Related to: 10