Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling-Reference-Cited by-同舟云学术

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Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling

Published:2016-02 Issue: Volume:124 Page:31-44
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Şener Emre,Mumcuoglu Erkan U.,Hamcan Salih

Funder

Scientific and Technological Research Council of Turkey

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference36 articles.

1. Anatomy- and physics-based facial animation for craniofacial surgery simulations;Gladilin;Med. Biol. Eng. Comput.,2004

2. Simulating Speech with a Physics-Based Facial Muscle Model, Vienna, Austria;Sifakis,2006

3. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm;Zhang;IEEE Trans. Med. Imaging,2001

4. Magnetic resonance imaging of facial muscles;Farrugia;Clin. Radiol.,2007

5. Precision and accuracy of CT-based measurements of masticatory muscles in patients with hemifacial microsomia;Huisinga-Fischer;Dentomaxillofac. Radiol.,2004

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