Work

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-40763-5_20

Authors: Mustafa Gökhan Uzunbaş, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris Metaxas

Institutions: Rutgers, The State University of New Jersey, University of Pennsylvania

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: G1036004260, Multiscale Quantification of 3D LV geometry from CT, G5520316217, Machine Learning and Deformable Model-based 4D Characterization of Cardiac Dyssynchrony from MRI, Clinical validation of cardiac strain measures with real-time 4D ultrasound, MRI: Development of a Near-Real-Time High-Accuracy Musculoskeletal System Measurement and Analysis Instrument (SKELETALMI)

OpenAlex ID: W69551198

FWCI: 0.851

Cites: 16

Cited by: 9

Related to: 10