Work

A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification

Year: 2016

Type: article

Source: Computer Vision and Image Understanding

DOI: 10.1016/j.cviu.2016.03.008

Authors: Chaowei Tan, Kang Li, Zhennan Yan, Dong Yang, Shaoting Zhang, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris Metaxas

Institutions: Rutgers, The State University of New Jersey, University of North Carolina at Charlotte, BioClinica (United States)

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 Science Foundation, Healthcare Foundation of New Jersey

Awards: G3174977698, G3384064715, EAGER: Multi-modal human gait experimentation and analysis on unconstrained terrains, EAGER: Development of Model-Based Active Chair for Proactive Injury Prevention, G5497584576, Cooperative Adaptation and Shaping of Human Motor Control through Unstable Physical Human-Robot Interactions, G7702208659, MRI: Development of a Near-Real-Time High-Accuracy Musculoskeletal System Measurement and Analysis Instrument (SKELETALMI)

OpenAlex ID: W2306039858

FWCI: 0.679

Cites: 62

Cited by: 3

Related to: 10