Work

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-40760-4_69

Authors: Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Nanjing University of Aeronautics and Astronautics, The University of Texas at Arlington

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

Awards: G1529334509, G2391590095, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662

OpenAlex ID: W47565262

FWCI: 0.426

Cites: 14

Cited by: 3

Related to: 10